2025/09/16 更新

写真a

イトウ リンタロウ
伊藤 倫太郎
ITO Rintaro
所属
大学院医学系研究科 革新的生体可視化技術開発産学協同研究講座 特任講師
職名
特任講師
外部リンク

学位 1

  1. 博士(医学) ( 2017年3月   名古屋大学 ) 

研究キーワード 4

  1. コンピューター支援診断

  2. 画像診断

  3. 放射線医学

  4. 人工知能

研究分野 1

  1. ライフサイエンス / 放射線科学

経歴 5

  1. 名古屋大学大学院医学系研究科 革新的生体可視化技術開発産学協同研究講座   特任講師

    2024年4月 - 現在

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  2. UCLA Radiological Sciences   Vissiting Assistant Professor

    2021年10月 - 2022年9月

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    国名:アメリカ合衆国

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  3. 名古屋大学大学院医学系研究科 革新的生体可視化技術開発産学協同研究講座   特任助教

    2019年10月 - 2024年3月

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  4. 名古屋大学医学部附属病院   放射線部   病院助教

    2017年10月 - 2019年9月

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  5. 名古屋大学   医員

    2013年4月 - 2017年9月

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学歴 2

  1. 名古屋大学   医学系研究科   総合医学専攻

    - 2017年3月

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    国名: 日本国

  2. 名古屋大学   医学部   医学科

    - 2011年3月

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    国名: 日本国

所属学協会 6

  1. 日本医学放射線学会

  2. 日本肺癌学会

  3. 日本メディカルAI学会

  4. 日本核医学会

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  5. 日本肺癌学会

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  6. 日本医学放射線学会

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▼全件表示

委員歴 1

  1. 一般社団法人日本放射線科専門医会・医会   人工知能診療委員会  

    2023年4月 - 2025年3月   

受賞 4

  1. JJR Best Reviewer Award in 2024

    2025年4月   公益社団法人 日本医学放射線学会  

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  2. JJR Best Reviewer Award in 2023

    2024年4月   公益社団法人 日本医学放射線学会  

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  3. CUM LAUDE

    2021年11月   the 107th Scientific Assembly and Annual Meeting of the Radiological Society of North America   How should radiologists use AI to fight COVID-19 pneumonia?

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  4. Invest in the Youth

    European Society of Radiology (ECR 2017)  

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論文 74

  1. Recent advances in theranostics and oncology PET: emerging radionuclides and targets Open Access

    Watabe, T; Hirata, K; Iima, M; Yanagawa, M; Saida, T; Sakata, A; Ide, S; Honda, M; Kurokawa, R; Nishioka, K; Kawamura, M; Ito, R; Takumi, K; Oda, S; Sugawara, S; Sofue, K; Ueda, D; Naganawa, S

    ANNALS OF NUCLEAR MEDICINE   39 巻 ( 9 ) 頁: 909 - 921   2025年9月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Annals of Nuclear Medicine  

    Theranostics, a novel integrated approach that combines cancer diagnosis and therapy by switching the radionuclide, has attracted growing attention. Various oncology PET probes other than FDG have been developed for the highly sensitive and precise detection of many types of cancer with the advancements in PET scanners, supporting the innovative development in theranostics. In therapeutic applications, radioligand therapy targeting somatostatin receptors (SSTR) and prostate-specific membrane antigen (PSMA) has already demonstrated significant clinical benefits. Terbium-161 (<sup>161</sup>Tb) has emerged as a new beta and Auger electron emitter, showing greater therapeutic efficacy compared to <sup>177</sup>Lu. Alpha emitters, such as astatine (<sup>211</sup>At), are currently being evaluated in investigator-initiated clinical trials, with preliminary efficacy data reported for [<sup>211</sup>At]NaAt in patients with radioiodine-refractory thyroid cancer. Novel pan-tumor targeting agents, such as TROP-2, Nectin-4, LAT1, GPC-1, and EphA2, are also under development, and clinical translation of radioligand therapy is anticipated. These innovations in theranostics are expected to further broaden the scope of precision medicine in oncology.

    DOI: 10.1007/s12149-025-02090-z

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  2. Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part I: high-grade group 国際誌

    Kurokawa, R; Hagiwara, A; Ueda, D; Ito, R; Saida, T; Honda, M; Nishioka, K; Sakata, A; Yanagawa, M; Takumi, K; Oda, S; Ide, S; Sofue, K; Sugawara, S; Watabe, T; Hirata, K; Kawamura, M; Iima, M; Naganawa, S

    RADIOLOGIA MEDICA     2025年8月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Radiologia Medica  

    Recent advances in molecular genetics have revolutionized the classification of pediatric-type high-grade gliomas in the 2021 World Health Organization central nervous system tumor classification. This narrative review synthesizes current evidence on the following four tumor types: diffuse midline glioma, H3 K27-altered; diffuse hemispheric glioma, H3 G34-mutant; diffuse pediatric-type high-grade glioma, H3-wildtype and IDH-wildtype; and infant-type hemispheric glioma. We conducted a comprehensive literature search for articles published through January 2025. For each tumor type, we analyze characteristic clinical presentations, molecular alterations, conventional and advanced magnetic resonance imaging features, radiological-molecular correlations, and current therapeutic approaches. Emerging radiogenomic approaches utilizing artificial intelligence, including radiomics and deep learning, show promise in identifying imaging biomarkers that correlate with molecular features. This review highlights the importance of integrating radiological and molecular data for accurate diagnosis and treatment planning, while acknowledging limitations in current methodologies and the need for prospective validation in larger cohorts. Understanding these correlations is crucial for advancing personalized treatment strategies for these challenging tumors.

    DOI: 10.1007/s11547-025-02078-9

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  3. Advances in renal cancer: diagnosis, treatment, and emerging technologies 国際誌

    Saida, T; Iima, M; Ito, R; Ueda, D; Nishioka, K; Kurokawa, R; Kawamura, M; Hirata, K; Honda, M; Takumi, K; Ide, S; Sugawara, S; Watabe, T; Sakata, A; Yanagawa, M; Sofue, K; Oda, S; Naganawa, S

    RADIOLOGIA MEDICA     2025年8月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Radiologia Medica  

    This review provides a comprehensive overview of current practices and recent advancements in the diagnosis and treatment of renal cancer. It introduces updates in histological classification and explains the imaging characteristics of each tumour based on these changes. The review highlights state-of-the-art imaging modalities, including magnetic resonance imaging, computed tomography, positron emission tomography, and ultrasound, emphasising their crucial role in tumour characterisation and optimising treatment planning. Emerging technologies, such as radiomics and artificial intelligence, are also discussed for their transformative impact on enhancing diagnostic precision, prognostic prediction, and personalised patient management. Furthermore, the review explores current treatment options, including minimally invasive techniques such as cryoablation, radiofrequency ablation, and stereotactic body radiation therapy, as well as systemic therapies such as immune checkpoint inhibitors and targeted therapies.

    DOI: 10.1007/s11547-025-02066-z

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  4. Diagnostic utility of chest wall vessel involvement sign on ultra-high-resolution CT for primary lung cancer infiltrating the chest wall 国際誌 Open Access

    Uota, F; Iwano, S; Kamiya, S; Ito, R; Nakamura, S; Chen-Yoshikawa, TF; Naganawa, S

    EUROPEAN RADIOLOGY   35 巻 ( 8 ) 頁: 4824 - 4833   2025年8月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:European Radiology  

    Objectives: Chest wall infiltration in primary lung cancer affects the surgical and therapeutic strategies. This study evaluates the efficacy of the chest wall vessel involvement in subpleural lung cancer (CWVI) on ultra-high-resolution CT (UHR-CT) for detecting chest wall invasion. Materials and methods: A retrospective analysis of lung cancer cases with confirmed pleural and chest wall invasion was conducted from November 2019 to April 2022. Seventy-seven patients (mean ± standard deviation age 70 ± 8 years, 64 males) who underwent preoperative contrast-enhanced UHR-CT were included. They were grouped into 51 non-chest wall infiltration (pl1 and pl2) and 26 chest wall infiltration (pl3). Clinical, histopathological, and UHR-CT findings were reviewed. Results: Upper lobe tumors exhibited a higher chest wall invasion rate (p < 0.001). Rib destruction was evident in five patients with chest wall invasion but none with pleural invasion (p < 0.001). CWVI was present in 19 of 26 patients with chest wall invasion and 2 of 51 patients with pleural invasion (p < 0.001). The maximum tumor diameter (Dmax), arch distance which means the interface length between the primary tumor and the chest wall (Adist), and the ratio of Dmax to Adist were higher in chest wall invasion cases (all p < 0.001). After excluding patients with rib destruction, in multivariate logistic regression analysis, only CWVI was a significant predictor for chest wall invasion (odds ratio 29.22 (95% confidence interval 9.13–262.90), p < 0.001). Conclusion: CWVI on UHR-CT can help diagnose lung cancer infiltrating the chest wall, offering a potential tool for clinical decision-making. Key Points: Question Chest wall infiltration in primary lung cancer has implications for the treatment plan, but diagnosis is often difficult with conventional CT. Findings Chest wall vessel involvement in subpleural lung cancer on ultra-high-resolution CT is a valuable predictor for diagnosing chest wall infiltration. Clinical relevance The delineation of chest wall vessels with contrast-enhanced ultra-high-resolution CT may improve the diagnosis of chest wall infiltration and allow accurate staging and optimal treatment options for subpleural primary lung cancer.

    DOI: 10.1007/s00330-025-11382-x

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  5. Contribution of white matter microstructure to diffusion tensor image analysis along perivascular space in obstructive sleep apnea Open Access

    Taoka, T; Iwamoto, K; Miyata, S; Ito, R; Kamagata, K; Nakamichi, R; Nakane, T; Iima, M; Fujishiro, H; Ikeda, M; Ichikawa, K; Kamiunten, A; Ichinose, N; Kikuta, J; Aoki, S; Naganawa, S

    JAPANESE JOURNAL OF RADIOLOGY     2025年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    Purpose: We aimed to evaluate whether the ALPS index derived from diffusion tensor image analysis along the perivascular space (DTI-ALPS) is influenced by white matter fibres within the analysis region, particularly commissural fibres from the corpus callosum that traverse this area in psychiatric patients with suspected obstructive sleep apnea (OSA). We also investigated associations between diffusion-based parameters, sleep-related data, and neurofluid-related imaging metrics. Methods: Fifty participants with OSA underwent brain magnetic resonance imaging and polysomnography, including diffusion tensor and structural sequences. Among them, 8 participants had no psychiatric comorbidities, while the remaining 42 had various psychiatric disorders in addition to OSA. Diffusion-based parameters were obtained, and both the original and variant ALPS index were calculated. Correlation analyses were conducted with sleep-related data and neurofluid-related imaging parameters, including choroid plexus volume (CPV) and volume of white matter lesion burden (WMHV). Mediation analyses were also performed to explore the influence of white matter diffusivity on the perivascular diffusivity index. Results: The ALPS index showed weak to moderate correlations with multiple sleep-related variables. It also correlated with CPV and WMHV. Mediation analyses demonstrated that diffusivity within white matter fibres was associated with the ALPS index. Moreover, variant ALPS indices measured in the corpus callosum may reflect fluid motion in the direction of perivascular spaces. Conclusion: These findings suggest that the ALPS index is influenced by both diffusivity along perivascular spaces and white matter microstructure, particularly commissural fibres. Although it should not be regarded as a highly specific marker of perivascular space function, variant indices support partial perivascular contribution. Furthermore, associations with sleep and neurofluid-related metrics imply that white matter architecture and inter-fibre spaces may serve as plausible routes for interstitial fluid flow.

    DOI: 10.1007/s11604-025-01838-x

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  6. Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part II: low-grade group Open Access

    Kurokawa, R; Hagiwara, A; Ito, R; Ueda, D; Saida, T; Sakata, A; Nishioka, K; Sugawara, S; Takumi, K; Watabe, T; Ide, S; Kawamura, M; Sofue, K; Hirata, K; Honda, M; Yanagawa, M; Oda, S; Iima, M; Naganawa, S

    RADIOLOGIA MEDICA     2025年7月

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    記述言語:英語   出版者・発行元:Radiologia Medica  

    The fifth edition of the World Health Organization classification of central nervous system tumors represents a significant advancement in the molecular-genetic classification of pediatric-type diffuse gliomas. This article comprehensively summarizes the clinical, molecular, and radiological imaging features in pediatric-type low-grade gliomas (pLGGs), including MYB- or MYBL1-altered tumors, polymorphous low-grade neuroepithelial tumor of the young (PLNTY), and diffuse low-grade glioma, MAPK pathway-altered. Most pLGGs harbor alterations in the RAS/MAPK pathway, functioning as “one pathway disease”. Specific magnetic resonance imaging features, such as the T2-fluid-attenuated inversion recovery (FLAIR) mismatch sign in MYB- or MYBL1-altered tumors and the transmantle-like sign in PLNTYs, may serve as non-invasive biomarkers for underlying molecular alterations. Recent advances in radiogenomics have enabled the differentiation of BRAF fusion from BRAF V600E mutant tumors based on magnetic resonance imaging characteristics. Machine learning approaches have further enhanced our ability to predict molecular subtypes from imaging features. These radiology-molecular correlations offer potential clinical utility in treatment planning and prognostication, especially as targeted therapies against the MAPK pathway emerge. Continued research is needed to refine our understanding of genotype–phenotype correlations in less common molecular alterations and to validate these imaging biomarkers in larger cohorts.

    DOI: 10.1007/s11547-025-02049-0

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  7. Vision-language model performance on the Japanese Nuclear Medicine Board Examination: high accuracy in text but challenges with image interpretation Open Access

    Ito, R; Kato, K; Higashi, M; Abe, Y; Minamimoto, R; Kato, K; Taoka, T; Naganawa, S

    ANNALS OF NUCLEAR MEDICINE     2025年7月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Annals of Nuclear Medicine  

    Objective: Vision language models (VLMs) allow visual input to Large Language Models. VLMs have been developing rapidly, and their accuracy is improving rapidly. Their performance in nuclear medicine compared to state-of-the-art models, including reasoning models, is not yet clear. We evaluated state-of-the-art VLMs using problems from the past Japan Nuclear Medicine Board Examination (JNMBE) and assessed their strengths and limitations. Methods: We collected 180 multiple-choice questions from JNMBE (2022–2024). About one-third included diagnostic images. We used eight latest VLMs. ChatGPT o1 pro, ChatGPT o1, ChatGPT o3-mini, ChatGPT-4.5, Claude 3.7, Gemini 2.0 Flash thinking, Llama 3.2, and Gemma 3 were tested. Each model answered every question three times in a deterministic setting, and the final answer was set by majority vote. Two board-certified nuclear medicine physicians independently provided reference answers, with a third expert resolving disagreements. We calculated overall accuracy with 95% confidence intervals and performed subgroup analyses by question type, content, and exam year. Results: Overall accuracies ranged from 36.1% (Gemma 3) to 83.3% (ChatGPT o1 pro). ChatGPT o1 pro achieved the highest score (150/180, 83.3% [95% CI: 77.1–88.5%]), followed by ChatGPT o3-mini (82.8%) and ChatGPTo1 (78.9%). All models performed better on text-only questions than on image-based ones; ChatGPT o1 pro correctly answered 89.5% of text questions versus 66.0% of image questions. VLMs demonstrated limitations in handling with questions on Japanese regulations. ChatGPT 4.5 excelled in neurology-related image-based questions (76.9%). Accuracy was slightly lower from 2022 to 2024 for most models. Conclusions: VLMs demonstrated high accuracy on the JNMBE, especially on text-based questions, but exhibited limitations with image recognition questions. These findings show that VLMs can be a good assistant for text-based questions in medical domains but have limitations when it comes to comprehensive questions that include images. Currently, VLMs cannot replace comprehensive training and expert interpretation. Because VLMs evolve rapidly and exam difficulty varies annually, these findings should be interpreted in that context.

    DOI: 10.1007/s12149-025-02084-x

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  8. Imaging insights of FDG-PET from neonates to infants Open Access

    Minamimoto, R; Abe, Y; Kamiya, S; Nakane, T; Ito, R; Kato, K; Naganawa, S

    JAPANESE JOURNAL OF RADIOLOGY   43 巻 ( 7 ) 頁: 1066 - 1077   2025年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    In pediatric oncology, <sup>18</sup>F-fluorodeoxyglucose (FDG)-positron emission tomography (PET)/computed tomography (CT) is valuable as a tool for noninvasive imaging and monitoring. While many reports have reviewed the use of PET and PET/CT in pediatrics, considerable variations in age, body size, and metabolism are seen during different stages of childhood development. Neonates (from birth to one month old) and infants (from 1 month to 1 year) present unique challenges for FDG-PET/CT examination due to their small body size, the immaturity of organs, the need for specialized patient preparation, and support requirements during scanning. In addition, differences in metabolic activity can lead to distinct differences in patterns of physiological FDG uptake on PET/CT imaging between neonates and infants. These factors differ significantly from those encountered in older children, who may be treated similarly to adults during imaging procedures. This review, based on both the literature and clinical experience, explores the specific characteristics, challenges, and considerations for FDG-PET/CT imaging from neonates to infants, with a focus on optimizing imaging protocols and interpreting physiological variations in this growth period.

    DOI: 10.1007/s11604-025-01763-z

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  9. The glymphatic system in oncology: from the perspective of a radiation oncologist 国際誌

    Nishioka, K; Kawamura, M; Iima, M; Ueda, D; Ito, R; Saida, T; Kurokawa, R; Takumi, K; Sakata, A; Ide, S; Honda, M; Yanagawa, M; Sugawara, S; Oda, S; Watabe, T; Sofue, K; Hirata, K; Naganawa, S

    JOURNAL OF RADIATION RESEARCH   66 巻 ( 4 ) 頁: 343 - 353   2025年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Radiation Research  

    The brain and spinal cord, which constitute the central nervous system, were historically considered immune-privileged sites, as it was believed they lacked an equivalent to the systemic lymphatic system. However, in 2013, a pathway facilitating the clearance of waste products through the brain parenchyma via the perivascular space was proposed, garnering attention as the 'glymphatic system'. Similar to the systemic lymphatic system, the glymphatic system plays a critical role in immune responses and has been implicated not only in Alzheimer's disease and inflammatory brain disorders but also in conditions such as hydrocephalus and glaucoma, which are associated with cerebrospinal fluid circulation impairments. Recent studies have suggested that dysfunction of the glymphatic system may promote the progression of brain tumors and reduce the efficacy of immune responses and pharmacological therapies targeting tumors. Radiotherapy is a major treatment option for brain tumors; however, while it can enhance immune responses against tumors, it may also suppress these responses at the same time. Additionally, cranial irradiation has been suggested to impair the function of the glymphatic system. This review provides an overview of the structure and functional evaluation methods of the glymphatic system, summarizes the effects of its dysfunction on brain tumor treatment, and explores recent findings on the impact of radiation therapy on glymphatic system functioning. Lastly, it also explores the potential for radiation therapy strategies that account for their effects on the glymphatic system.

    DOI: 10.1093/jrr/rraf027

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  10. Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI? 国際誌

    Nozaki, T; Hashimoto, M; Ueda, D; Fujita, S; Fushimi, Y; Kamagata, K; Matsui, Y; Ito, R; Tsuboyama, T; Tatsugami, F; Fujima, N; Hirata, K; Yanagawa, M; Yamada, A; Fujioka, T; Kawamura, M; Nakaura, T; Naganawa, S

    RADIOLOGIA MEDICA   130 巻 ( 5 ) 頁: 587 - 597   2025年5月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Radiologia Medica  

    The advances in artificial intelligence (AI) technology in recent years have been remarkable, and the field of radiology is at the forefront of applying and implementing these technologies in daily clinical practice. Radiologists must keep up with this trend and continually update their knowledge. This narrative review discusses the application of artificial intelligence in the field of musculoskeletal imaging. For image generation, we focused on the clinical application of deep learning reconstruction and the recently emerging MRI-based cortical bone imaging. For automated diagnostic support, we provided an overview of qualitative diagnosis, including classifications essential for daily practice, and quantitative diagnosis, which can serve as imaging biomarkers for treatment decision making and prognosis prediction. Finally, we discussed current issues in the use of AI, the application of AI in the diagnosis of rare diseases, and the role of AI-based diagnostic imaging in preventive medicine as part of our outlook for the future.

    DOI: 10.1007/s11547-024-01947-z

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    その他リンク: https://link.springer.com/article/10.1007/s11547-024-01947-z/fulltext.html

  11. Generative AI and large language models in nuclear medicine: current status and future prospects (vol 38, pg 853, 2024) Open Access

    Hirata, K; Matsui, Y; Yamada, A; Fujioka, T; Yanagawa, M; Nakaura, T; Ito, R; Ueda, D; Fujita, S; Tatsugami, F; Fushimi, Y; Tsuboyama, T; Kamagata, K; Nozaki, T; Fujima, N; Kawamura, M; Naganawa, S

    ANNALS OF NUCLEAR MEDICINE   39 巻 ( 4 ) 頁: 404 - 405   2025年4月

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    記述言語:英語   出版者・発行元:Annals of Nuclear Medicine  

    The article ‘Generative AI and large language models in nuclear medicine: current status and future prospects’, written by Kenji Hirata, Yusuke Matsui, Akira Yamada, Tomoyuki Fujioka, Masahiro Yanagawa, Takeshi Nakaura, Rintaro Ito, Daiju Ueda, Shohei Fujita, Fuminari Tatsugami, Yasutaka Fushimi, Takahiro Tsuboyama, Koji Kamagata, Taiki Nozaki, Noriyuki Fujima, Mariko Kawamura, Shinji Naganawa, was originally published under exclusive license to The Japanese Society of Nuclear Medicine. As a result of the subsequent decision to publish the article under the open access model, the article’s copyright notice was changed on 22 January 2025 to © The Author(s) 2025 and the article is now distributed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The original article has been corrected.

    DOI: 10.1007/s12149-025-02024-9

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  12. Assessing large language models for Lugano classification of malignant lymphoma in Japanese FDG-PET reports 国際誌 Open Access

    Ito, R; Kato, K; Nanataki, K; Abe, Y; Ogawa, H; Minamimoto, R; Kato, K; Taoka, T; Naganawa, S

    EJNMMI REPORTS   9 巻 ( 1 ) 頁: 8 - 8   2025年3月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Ejnmmi Reports  

    Purpose: This study evaluates the performance of four large language models (LLMs) in classifying malignant lymphoma stages using the Lugano classification from free-text FDG-PET reports in Japanese Specifically, we assess GPT-4o, Claude 3.5 Sonnet, Llama 3 70B, and Gemma 2 27B in their ability interpret unstructured radiology texts. Materials and methods: In a retrospective single-center study, 80 patients who underwent staging FDG-PET/CT for malignant lymphoma were included. The “Findings” sections of their reports were analyzed without pre-processing. Each LLM assigned Lugano stages based on these reports. Performance was compared to reference standard stages determined by expert radiologists. Statistical analyses involved overall accuracy, weighted kappa for agreement. Results: GPT-4o achieved the highest accuracy at 75% (60/80 cases) with substantial agreement (weighted kappa κ = 0.801). Claude 3.5 Sonnet had 61.3% accuracy (49/80, κ = 0.763). Gemma 2 27B and Llama 3 70B showed accuracies of 58.8% and 57.5%, respectively, all indicating substantial agreement. Conclusion: GPT-4o outperformed other LLMs in assigning Lugano classification from Japanese FDG-PET free-text reports. This demonstrated the potential of advanced LLMs to interpret clinical texts. While the immediate clinical utility of automatically predicting a Lugano stage from an existing report may be limited, these results highlight the value of LLMs for understanding and standardizing free-text radiology data.

    DOI: 10.1186/s41824-025-00246-8

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  13. Preliminary Findings on Non-contrast Enhanced Positive Endolymph Images: Limited Delineation of Endolymphatic Space

    Naganawa, S; Ito, R; Kawamura, M; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   advpub 巻 ( 0 )   2025年3月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:日本磁気共鳴医学会  

    DOI: 10.2463/mrms.bc.2025-0005

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  14. The Endolymph Signal in Non-contrast Enhanced 3D-real IR Image Differs between the Ears with and without Significant Endolymphatic Hydrops

    Naganawa, S; Ito, R; Kawamura, M; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   advpub 巻 ( 0 )   2025年3月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:日本磁気共鳴医学会  

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  15. Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospects Open Access

    Fujita, S; Fushimi, Y; Ito, R; Matsui, Y; Tatsugami, F; Fujioka, T; Ueda, D; Fujima, N; Hirata, K; Tsuboyama, T; Nozaki, T; Yanagawa, M; Kamagata, K; Kawamura, M; Yamada, A; Nakaura, T; Naganawa, S

    JAPANESE JOURNAL OF RADIOLOGY   43 巻 ( 3 ) 頁: 355 - 364   2025年3月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    In this narrative review, we review the applications of artificial intelligence (AI) into clinical magnetic resonance imaging (MRI) exams, with a particular focus on Japan’s contributions to this field. In the first part of the review, we introduce the various applications of AI in optimizing different aspects of the MRI process, including scan protocols, patient preparation, image acquisition, image reconstruction, and postprocessing techniques. Additionally, we examine AI’s growing influence in clinical decision-making, particularly in areas such as segmentation, radiation therapy planning, and reporting assistance. By emphasizing studies conducted in Japan, we highlight the nation’s contributions to the advancement of AI in MRI. In the latter part of the review, we highlight the characteristics that make Japan a unique environment for the development and implementation of AI in MRI examinations. Japan’s healthcare landscape is distinguished by several key factors that collectively create a fertile ground for AI research and development. Notably, Japan boasts one of the highest densities of MRI scanners per capita globally, ensuring widespread access to the exam. Japan’s national health insurance system plays a pivotal role by providing MRI scans to all citizens irrespective of socioeconomic status, which facilitates the collection of inclusive and unbiased imaging data across a diverse population. Japan’s extensive health screening programs, coupled with collaborative research initiatives like the Japan Medical Imaging Database (J-MID), enable the aggregation and sharing of large, high-quality datasets. With its technological expertise and healthcare infrastructure, Japan is well-positioned to make meaningful contributions to the MRI–AI domain. The collaborative efforts of researchers, clinicians, and technology experts, including those in Japan, will continue to advance the future of AI in clinical MRI, potentially leading to improvements in patient care and healthcare efficiency.

    DOI: 10.1007/s11604-024-01689-y

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  16. MR Imaging Indices for Brain Interstitial Fluid Dynamics and the Effects of Orexin Antagonists on Sleep

    Taoka, T; Iwamoto, K; Miyata, S; Ito, R; Nakamichi, R; Nakane, T; Okada, I; Ichikawa, K; Kan, H; Kamagata, K; Kikuta, J; Aoki, S; Fujimoto, A; Kogo, Y; Ichinose, N; Naganawa, S; Ozaki, N

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   advpub 巻 ( 0 )   2025年2月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:日本磁気共鳴医学会  

    DOI: 10.2463/mrms.mp.2024-0176

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  17. Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature Open Access

    Matsui, Y; Ueda, D; Fujita, S; Fushimi, Y; Tsuboyama, T; Kamagata, K; Ito, R; Yanagawa, M; Yamada, A; Kawamura, M; Nakaura, T; Fujima, N; Nozaki, T; Tatsugami, F; Fujioka, T; Hirata, K; Naganawa, S

    JAPANESE JOURNAL OF RADIOLOGY   43 巻 ( 2 ) 頁: 164 - 176   2025年2月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    Interventional oncology provides image-guided therapies, including transarterial tumor embolization and percutaneous tumor ablation, for malignant tumors in a minimally invasive manner. As in other medical fields, the application of artificial intelligence (AI) in interventional oncology has garnered significant attention. This narrative review describes the current state of AI applications in interventional oncology based on recent literature. A literature search revealed a rapid increase in the number of studies relevant to this topic recently. Investigators have attempted to use AI for various tasks, including automatic segmentation of organs, tumors, and treatment areas; treatment simulation; improvement of intraprocedural image quality; prediction of treatment outcomes; and detection of post-treatment recurrence. Among these, the AI-based prediction of treatment outcomes has been the most studied. Various deep and conventional machine learning algorithms have been proposed for these tasks. Radiomics has often been incorporated into prediction and detection models. Current literature suggests that AI is potentially useful in various aspects of interventional oncology, from treatment planning to post-treatment follow-up. However, most AI-based methods discussed in this review are still at the research stage, and few have been implemented in clinical practice. To achieve widespread adoption of AI technologies in interventional oncology procedures, further research on their reliability and clinical utility is necessary. Nevertheless, considering the rapid research progress in this field, various AI technologies will be integrated into interventional oncology practices in the near future.

    DOI: 10.1007/s11604-024-01668-3

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  18. Intracranial Air Absorption through Arachnoid Granulation: New Considerations from Transsphenoidal Surgery and Implications for Neurofluid Dynamics Open Access

    Naganawa, S; Ito, R; Kawamura, M; Taoka, T

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   24 巻 ( 1 ) 頁: 144 - 147   2025年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Postsurgery intracranial air usually diminishes, presumably merging with cerebrospinal fluid (CSF) and venous circulation. Our study presents two transsphenoidal surgery cases, highlighting potential air absorption by arachnoid granulation (AG)—an underexplored phenomenon. AG has long been deemed pivotal for CSF absorption, but recent perspectives suggest a significant role in waste clearance, neuroin-flammation, and neuroimmunity. These cases may stimulate renewed research on the multifaceted role of AG in neurofluid dynamics and potentially elucidate further AG functions.

    DOI: 10.2463/mrms.bc.2023-0122

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  19. Direct Visualization of Tracer Permeation into the Endolymph in Human Patients Using MR Imaging Open Access

    Naganawa, S; Ito, R; Kawamura, M; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   24 巻 ( 2 ) 頁: 253 - 261   2025年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Purpose: The endolymph of the inner ear, vital for balance and hearing, has long been considered impermeable to intravenously administered gadolinium-based contrast agents (GBCAs) due to the tight blood-endolymph barrier. However, anecdotal observations suggested potential GBCA entry in delayed heavily T2-weighted 3D-real inversion recovery (IR) MRI scans. This study systematically investigated GBCA distribution in the endolymph using this 3D-real IR sequence. Methods: Forty-one patients suspected of endolymphatic hydrops (EHs) underwent pre-contrast, 4-h, and 24-h post-contrast 3D-real IR imaging. Signal intensity in cerebrospinal fluid (CSF), perilymph, and endolymph was measured and analyzed for temporal dynamics of GBCA uptake, correlations between compartments, and the influence of age and presence of EH. Results: Endolymph showed a delayed peak GBCA uptake at 24h, contrasting with peaks in perilymph and CSF at 4h. Weak to moderate positive correlations between endolymph and CSF contrast effect were observed at both 4 (r = 0.483) and 24h (r = 0.585), suggesting possible inter-compartmental interac-tions. Neither the presence of EH nor age significantly influenced endolymph enhancement. However, both perilymph and CSF contrast effects significantly correlated with age at both time points. Conclusion: This study provides the first in vivo systematic confirmation of GBCA entering the endo-lymph following intravenous administration. Notably, endolymph uptake peaked at 24h, significantly later than perilymph and CSF. The lack of a link between endolymph contrast and both perilymph and age suggests distinct uptake mechanisms. These findings shed light on inner ear fluid dynamics and their potential implications in Ménière’s disease and other inner ear disorders.

    DOI: 10.2463/mrms.mp.2024-0011

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  20. Stereotactic arrhythmia radioablation for ventricular tachycardia: a review of clinical trials and emerging roles of imaging 国際誌 Open Access

    Kawamura, M; Shimojo, M; Tatsugami, F; Hirata, K; Fujita, S; Ueda, D; Matsui, Y; Fushimi, Y; Fujioka, T; Nozaki, T; Yamada, A; Ito, R; Fujima, N; Yanagawa, M; Nakaura, T; Tsuboyama, T; Kamagata, K; Naganawa, S

    JOURNAL OF RADIATION RESEARCH   66 巻 ( 1 ) 頁: 1 - 9   2024年12月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Radiation Research  

    Ventricular tachycardia (VT) is a severe arrhythmia commonly treated with implantable cardioverter defibrillators, antiarrhythmic drugs and catheter ablation (CA). Although CA is effective in reducing recurrent VT, its impact on survival remains uncertain, especially in patients with extensive scarring. Stereotactic arrhythmia radioablation (STAR) has emerged as a novel treatment for VT in patients unresponsive to CA, leveraging techniques from stereotactic body radiation therapy used in cancer treatments. Recent clinical trials and case series have demonstrated the short-term efficacy and safety of STAR, although long-term outcomes remain unclear. Imaging techniques, such as electroanatomical mapping, contrast-enhanced magnetic resonance imaging and nuclear imaging, play a crucial role in treatment planning by identifying VT substrates and guiding target delineation. However, challenges persist owing to the complex anatomy and variability in target volume definitions. Advances in imaging and artificial intelligence are expected to improve the precision and efficacy of STAR. The exact mechanisms underlying the antiarrhythmic effects of STAR, including potential fibrosis and improvement in cardiac conduction, are still being explored. Despite its potential, STAR should be cautiously applied in prospective clinical trials, with a focus on optimizing dose delivery and understanding long-term outcomes. Collaborative efforts are necessary to standardize treatment strategies and enhance the quality of life for patients with refractory VT.

    DOI: 10.1093/jrr/rrae090

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  21. Association between the Presence of the Parasagittal Cyst-like Structures and Cognitive Function

    Ohashi, T; Ito, R; Yamamoto, R; Ukai, K; Naganawa, S

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   advpub 巻 ( 0 )   2024年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:日本磁気共鳴医学会  

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  22. Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future. 国際誌

    Ueda D, Walston SL, Fujita S, Fushimi Y, Tsuboyama T, Kamagata K, Yamada A, Yanagawa M, Ito R, Fujima N, Kawamura M, Nakaura T, Matsui Y, Tatsugami F, Fujioka T, Nozaki T, Hirata K, Naganawa S

    Diagnostic and interventional imaging   105 巻 ( 11 ) 頁: 453 - 459   2024年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Diagnostic and Interventional Imaging  

    The rapid advancement of artificial intelligence (AI) in healthcare has revolutionized the industry, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. However, the increasing adoption of AI systems also raises concerns about their environmental impact, particularly in the context of climate change. This review explores the intersection of climate change and AI in healthcare, examining the challenges posed by the energy consumption and carbon footprint of AI systems, as well as the potential solutions to mitigate their environmental impact. The review highlights the energy-intensive nature of AI model training and deployment, the contribution of data centers to greenhouse gas emissions, and the generation of electronic waste. To address these challenges, the development of energy-efficient AI models, the adoption of green computing practices, and the integration of renewable energy sources are discussed as potential solutions. The review also emphasizes the role of AI in optimizing healthcare workflows, reducing resource waste, and facilitating sustainable practices such as telemedicine. Furthermore, the importance of policy and governance frameworks, global initiatives, and collaborative efforts in promoting sustainable AI practices in healthcare is explored. The review concludes by outlining best practices for sustainable AI deployment, including eco-design, lifecycle assessment, responsible data management, and continuous monitoring and improvement. As the healthcare industry continues to embrace AI technologies, prioritizing sustainability and environmental responsibility is crucial to ensure that the benefits of AI are realized while actively contributing to the preservation of our planet.

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  23. Generative AI and large language models in nuclear medicine: current status and future prospects

    Hirata, K; Matsui, Y; Yamada, A; Fujioka, T; Yanagawa, M; Nakaura, T; Ito, R; Ueda, D; Fujita, S; Tatsugami, F; Fushimi, Y; Tsuboyama, T; Kamagata, K; Nozaki, T; Fujima, N; Kawamura, M; Naganawa, S

    ANNALS OF NUCLEAR MEDICINE   38 巻 ( 11 ) 頁: 853 - 864   2024年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Annals of Nuclear Medicine  

    This review explores the potential applications of Large Language Models (LLMs) in nuclear medicine, especially nuclear medicine examinations such as PET and SPECT, reviewing recent advancements in both fields. Despite the rapid adoption of LLMs in various medical specialties, their integration into nuclear medicine has not yet been sufficiently explored. We first discuss the latest developments in nuclear medicine, including new radiopharmaceuticals, imaging techniques, and clinical applications. We then analyze how LLMs are being utilized in radiology, particularly in report generation, image interpretation, and medical education. We highlight the potential of LLMs to enhance nuclear medicine practices, such as improving report structuring, assisting in diagnosis, and facilitating research. However, challenges remain, including the need for improved reliability, explainability, and bias reduction in LLMs. The review also addresses the ethical considerations and potential limitations of AI in healthcare. In conclusion, LLMs have significant potential to transform existing frameworks in nuclear medicine, making it a critical area for future research and development.

    DOI: 10.1007/s12149-024-01981-x

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  24. The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI

    Fujioka, T; Fujita, S; Ueda, D; Ito, R; Kawamura, M; Fushimi, Y; Tsuboyama, T; Yanagawa, M; Yamada, A; Tatsugami, F; Kamagata, K; Nozaki, T; Matsui, Y; Fujima, N; Hirata, K; Nakaura, T; Tateishi, U; Naganawa, S

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   advpub 巻 ( 0 )   2024年10月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:日本磁気共鳴医学会  

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  25. Data set terminology of deep learning in medicine: a historical review and recommendation Open Access

    Walston, SL; Seki, H; Takita, H; Mitsuyama, Y; Sato, S; Hagiwara, A; Ito, R; Hanaoka, S; Miki, Y; Ueda, D

    JAPANESE JOURNAL OF RADIOLOGY   42 巻 ( 10 ) 頁: 1100 - 1109   2024年10月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    Medicine and deep learning-based artificial intelligence (AI) engineering represent two distinct fields each with decades of published history. The current rapid convergence of deep learning and medicine has led to significant advancements, yet it has also introduced ambiguity regarding data set terms common to both fields, potentially leading to miscommunication and methodological discrepancies. This narrative review aims to give historical context for these terms, accentuate the importance of clarity when these terms are used in medical deep learning contexts, and offer solutions to mitigate misunderstandings by readers from either field. Through an examination of historical documents, including articles, writing guidelines, and textbooks, this review traces the divergent evolution of terms for data sets and their impact. Initially, the discordant interpretations of the word ‘validation’ in medical and AI contexts are explored. We then show that in the medical field as well, terms traditionally used in the deep learning domain are becoming more common, with the data for creating models referred to as the ‘training set’, the data for tuning of parameters referred to as the ‘validation (or tuning) set’, and the data for the evaluation of models as the ‘test set’. Additionally, the test sets used for model evaluation are classified into internal (random splitting, cross-validation, and leave-one-out) sets and external (temporal and geographic) sets. This review then identifies often misunderstood terms and proposes pragmatic solutions to mitigate terminological confusion in the field of deep learning in medicine. We support the accurate and standardized description of these data sets and the explicit definition of data set splitting terminologies in each publication. These are crucial methods for demonstrating the robustness and generalizability of deep learning applications in medicine. This review aspires to enhance the precision of communication, thereby fostering more effective and transparent research methodologies in this interdisciplinary field.

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  26. Imaging evaluation and volumetric measurement of the space surrounding the diploic veins Open Access

    Nakamichi, R; Taoka, T; Ito, R; Yoshida, T; Sone, M; Naganawa, S

    JAPANESE JOURNAL OF RADIOLOGY   42 巻 ( 9 ) 頁: 953 - 961   2024年9月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    Purpose: The diploic veins have been suggested to be involved in the excretion of cerebrospinal fluid and intracranial waste products; however, to date, there have been no reports evaluating the space surrounding the diploic veins. Therefore, we aimed to visualize the distribution of gadolinium-based contrast agent (GBCA) in the space surrounding the diploic veins and to evaluate the spatial characteristics. Materials and methods: Ninety-eight participants (aged 14–84 years) were scanned 4 h after intravenous GBCA injection at Nagoya University Hospital between April 2021 and December 2022. The volume of the space surrounding the diploic veins where the GBCA was distributed was measured using contrast-enhanced T1-weighted images with the application of three-axis motion-sensitized driven equilibrium. The parasagittal dura (PSD) volume adjacent to the superior sagittal sinus was also measured using the same images. Both volumes were corrected for intracranial volume. The correlation between age and the corrected volume was examined using Spearman’s rank correlation coefficient; the relationship between the corrected volume and sex was assessed using the Mann–Whitney U test. Results: A significant weak negative correlation was observed between the volume of the space surrounding the diploic veins and age (r = −0.330, p < 0.001). Furthermore, there was a significant weak positive correlation between the PSD volume and age (r = 0.385, p < 0.001). Both volumes were significantly greater in men than in women. There was no correlation between the volume of the space surrounding the diploic veins and the volume of the PSD. Conclusion: The volume of the space surrounding the diploic veins was measurable and, in contrast to the volume of the PSD, was greater in younger participants. This space may be related to intracranial excretory mechanisms and immune responses during youth, requiring further research.

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  27. Recent trends in AI applications for pelvic MRI: a comprehensive review 国際誌

    Tsuboyama, T; Yanagawa, M; Fujioka, T; Fujita, S; Ueda, D; Ito, R; Yamada, A; Fushimi, Y; Tatsugami, F; Nakaura, T; Nozaki, T; Kamagata, K; Matsui, Y; Hirata, K; Fujima, N; Kawamura, M; Naganawa, S

    RADIOLOGIA MEDICA   129 巻 ( 9 ) 頁: 1369 - 1381   2024年9月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Radiologia Medica  

    Magnetic resonance imaging (MRI) is an essential tool for evaluating pelvic disorders affecting the prostate, bladder, uterus, ovaries, and/or rectum. Since the diagnostic pathway of pelvic MRI can involve various complex procedures depending on the affected organ, the Reporting and Data System (RADS) is used to standardize image acquisition and interpretation. Artificial intelligence (AI), which encompasses machine learning and deep learning algorithms, has been integrated into both pelvic MRI and the RADS, particularly for prostate MRI. This review outlines recent developments in the use of AI in various stages of the pelvic MRI diagnostic pathway, including image acquisition, image reconstruction, organ and lesion segmentation, lesion detection and classification, and risk stratification, with special emphasis on recent trends in multi-center studies, which can help to improve the generalizability of AI.

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  28. Evaluation of alterations in interstitial fluid dynamics in cases of whole-brain radiation using the diffusion-weighted image analysis along the perivascular space method 国際誌 Open Access

    Taoka, T; Ito, R; Nakamichi, R; Nakane, T; Kawamura, M; Ishihara, S; Ichikawa, K; Kawai, H; Naganawa, S

    NMR IN BIOMEDICINE   37 巻 ( 7 ) 頁: e5030   2024年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:NMR in Biomedicine  

    In the current study, we assessed changes in interstitial fluid dynamics resulting after whole-brain radiotherapy using the diffusion-weighted image analysis along the perivascular space (DWI-ALPS) method, which is a simplified variation of the diffusion tensor image ALPS (DTI-ALPS) method using diffusion-weighted imaging (DWI) with orthogonal motion-probing gradients (MPGs). This retrospective study included 47 image sets from 22 patients who underwent whole-brain radiotherapy for brain tumors. The data for the normal control group comprised 105 image sets from 105 participants with no pathological changes. DWI was performed with the three MPGs applied in an orthogonal direction to the imaging plane, and apparent diffusion coefficient images for the x-, y-, and z-axes were retrospectively generated. The ALPS index was calculated to quantify interstitial fluid dynamics. The independent t-test was used to compare the ALPS index between normal controls and patients who underwent whole-brain radiotherapy. Patients were compared in all age groups and individual age groups (20–39, 40–59, and 60–84 years). We also examined the correlation between biologically equivalent doses (BEDs) and the ALPS index, as well as the correlation between white matter hyperintensity and the ALPS index. In the comparison of all age groups, the ALPS index was significantly lower (p < 0.001) in the postradiation group (1.32 ± 0.16) than in the control group (1.44 ± 0.17), suggesting that interstitial fluid dynamics were altered in patients following whole-brain radiotherapy. Significant age group differences were found (40–59 years: p < 0.01; 60–84 years: p < 0.001), along with a weak negative correlation between BEDs (r = −0.19) and significant correlations between white matter hyperintensity and the ALPS index (r = −0.46 for periventricular white matter, r = −0.38 for deep white matter). It was concluded that the ALPS method using DWI with orthogonal MPGs suggest alteration in interstitial fluid dynamics in patients after whole-brain radiotherapy. Further systematic prospective studies are required to investigate their association with cognitive symptoms.

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  29. The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI Open Access

    Nakaura, T; Ito, R; Ueda, D; Nozaki, T; Fushimi, Y; Matsui, Y; Yanagawa, M; Yamada, A; Tsuboyama, T; Fujima, N; Tatsugami, F; Hirata, K; Fujita, S; Kamagata, K; Fujioka, T; Kawamura, M; Naganawa, S

    JAPANESE JOURNAL OF RADIOLOGY   42 巻 ( 7 ) 頁: 685 - 696   2024年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    The advent of Deep Learning (DL) has significantly propelled the field of diagnostic radiology forward by enhancing image analysis and interpretation. The introduction of the Transformer architecture, followed by the development of Large Language Models (LLMs), has further revolutionized this domain. LLMs now possess the potential to automate and refine the radiology workflow, extending from report generation to assistance in diagnostics and patient care. The integration of multimodal technology with LLMs could potentially leapfrog these applications to unprecedented levels. However, LLMs come with unresolved challenges such as information hallucinations and biases, which can affect clinical reliability. Despite these issues, the legislative and guideline frameworks have yet to catch up with technological advancements. Radiologists must acquire a thorough understanding of these technologies to leverage LLMs’ potential to the fullest while maintaining medical safety and ethics. This review aims to aid in that endeavor.

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  30. Revolutionizing radiation therapy: the role of AI in clinical practice 国際誌 Open Access

    Kawamura, M; Kamomae, T; Yanagawa, M; Kamagata, K; Fujita, S; Ueda, D; Matsui, Y; Fushimi, Y; Fujioka, T; Nozaki, T; Yamada, A; Hirata, K; Ito, R; Fujima, N; Tatsugami, F; Nakaura, T; Tsuboyama, T; Naganawa, S

    JOURNAL OF RADIATION RESEARCH   65 巻 ( 1 ) 頁: 1 - 9   2024年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Journal of Radiation Research  

    This review provides an overview of the application of artificial intelligence (AI) in radiation therapy (RT) from a radiation oncologist’s perspective. Over the years, advances in diagnostic imaging have significantly improved the efficiency and effectiveness of radiotherapy. The introduction of AI has further optimized the segmentation of tumors and organs at risk, thereby saving considerable time for radiation oncologists. AI has also been utilized in treatment planning and optimization, reducing the planning time from several days to minutes or even seconds. Knowledge-based treatment planning and deep learning techniques have been employed to produce treatment plans comparable to those generated by humans. Additionally, AI has potential applications in quality control and assurance of treatment plans, optimization of image-guided RT and monitoring of mobile tumors during treatment. Prognostic evaluation and prediction using AI have been increasingly explored, with radiomics being a prominent area of research. The future of AI in radiation oncology offers the potential to establish treatment standardization by minimizing inter-observer differences in segmentation and improving dose adequacy evaluation. RT standardization through AI may have global implications, providing world-standard treatment even in resource-limited settings. However, there are challenges in accumulating big data, including patient background information and correlating treatment plans with disease outcomes. Although challenges remain, ongoing research and the integration of AI technology hold promise for further advancements in radiation oncology.

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  31. Fairness of artificial intelligence in healthcare: review and recommendations Open Access

    Ueda, D; Kakinuma, T; Fujita, S; Kamagata, K; Fushimi, Y; Ito, R; Matsui, Y; Nozaki, T; Nakaura, T; Fujima, N; Tatsugami, F; Yanagawa, M; Hirata, K; Yamada, A; Tsuboyama, T; Kawamura, M; Fujioka, T; Naganawa, S

    JAPANESE JOURNAL OF RADIOLOGY   42 巻 ( 1 ) 頁: 3 - 15   2024年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    In this review, we address the issue of fairness in the clinical integration of artificial intelligence (AI) in the medical field. As the clinical adoption of deep learning algorithms, a subfield of AI, progresses, concerns have arisen regarding the impact of AI biases and discrimination on patient health. This review aims to provide a comprehensive overview of concerns associated with AI fairness; discuss strategies to mitigate AI biases; and emphasize the need for cooperation among physicians, AI researchers, AI developers, policymakers, and patients to ensure equitable AI integration. First, we define and introduce the concept of fairness in AI applications in healthcare and radiology, emphasizing the benefits and challenges of incorporating AI into clinical practice. Next, we delve into concerns regarding fairness in healthcare, addressing the various causes of biases in AI and potential concerns such as misdiagnosis, unequal access to treatment, and ethical considerations. We then outline strategies for addressing fairness, such as the importance of diverse and representative data and algorithm audits. Additionally, we discuss ethical and legal considerations such as data privacy, responsibility, accountability, transparency, and explainability in AI. Finally, we present the Fairness of Artificial Intelligence Recommendations in healthcare (FAIR) statement to offer best practices. Through these efforts, we aim to provide a foundation for discussing the responsible and equitable implementation and deployment of AI in healthcare.

    DOI: 10.1007/s11604-023-01474-3

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  32. The Glymphatic System in Humans: Investigations With Magnetic Resonance Imaging 国際誌

    Naganawa, S; Taoka, T; Ito, R; Kawamura, M

    INVESTIGATIVE RADIOLOGY   59 巻 ( 1 ) 頁: 1 - 12   2024年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Investigative Radiology  

    The concept of the glymphatic system was proposed more than a decade ago as a mechanism for interstitial fluid flow and waste removal in the central nervous system. The function of the glymphatic system has been shown to be particularly activated during sleep. Dysfunction of the glymphatic system has been implicated in several neurodegenerative diseases. Noninvasive in vivo imaging of the glymphatic system is expected to be useful in elucidating the pathophysiology of these diseases. Currently, magnetic resonance imaging is the most commonly used technique to evaluate the glymphatic system in humans, and a large number of studies have been reported. This review provides a comprehensive overview of investigations of the human glymphatic system function using magnetic resonance imaging. The studies can be divided into 3 categories, including imaging without gadolinium-based contrast agents (GBCAs), imaging with intrathecal administration of GBCAs, and imaging with intravenous administration of GBCAs. The purpose of these studies has been to examine not only the interstitial fluid movement in the brain parenchyma, but also the fluid dynamics in the perivascular and subarachnoid spaces, as well as the parasagittal dura and meningeal lymphatics. Recent research has even extended to include the glymphatic system of the eye and the inner ear. This review serves as an important update and a useful guide for future research directions.

    DOI: 10.1097/RLI.0000000000000969

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  33. Association between the Putative Meningeal Lymphatics at the Posterior Wall of the Sigmoid Sinus and Delayed Contrast-agent Elimination from the Cerebrospinal Fluid Open Access

    Naganawa, S; Ito, R; Kawamura, M; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   23 巻 ( 1 ) 頁: 80 - 91   2024年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Purpose: To investigate the characteristics of the putative meningeal lymphatics located at the posterior wall of the sigmoid sinus (PML-PSS) in human subjects imaged before and after intravenous administration (IV) of a gadolinium-based contrast agent (GBCA). The appearance of the PML-PSS and the enhancement of the perivascular space of the basal ganglia (PVS-BG) were analyzed for an association with gender, age, and clearance of the GBCA from the cerebrospinal fluid (CSF). Methods: Forty-two patients with suspected endolymphatic hydrops were included. Heavily T2-weighted 3D-fluid attenuated inversion recovery (hT2w-3D-FLAIR) and 3D-real inversion recovery (IR) images were obtained at pre-administration, immediately post-administration, and at 4 and 24 hours after IV-GBCA. The appearance of the PML-PSS and the presence of enhancement in the PVS-BG were analyzed for a relationship with age, gender, contrast enhancement of the CSF at 4 hours after IV-GBCA, and the washout ratio of the GBCA in the CSF from 4 to 24 hours after IV-GBCA. Results: The PML-PSS and PVS-BG were seen in 23 of 42 and 21 of 42 cases, respectively, at 4 hours after IV-GBCA. In all PML-PSS positive cases, hT2w-3D-FLAIR signal enhancement was highest at 4 hours after IV-GBCA. A multivariate analysis between gender, age, CSF signal elevation at 4 hours, and washout ratio indicated that only the washout ratio was independently associated with the enhancement of the PML-PSS or PVS-BG. The odds ratios (95% CIs; P value) were 4.09 × 10<sup>–5</sup> (2.39 × 10<sup>–8</sup> – 0.07; 0.0078) for the PML-PSS and 1.7 × 10<sup>–4</sup> (1.66 × 10<sup>–7</sup> – 0.174; 0.014) for the PVS-BG. Conclusion: The PML-PSS had the highest signal enhancement at 4 hours after IV-GBCA. When the PML-PSS was seen, there was also often enhancement of the PVS-BG at 4 hours after IV-GBCA. Both observed enhancements were associated with delayed GBCA excretion from the CSF.

    DOI: 10.2463/mrms.mp.2022-0110

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  34. Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS): Revisiting the Meaning and Significance of the Method Open Access

    Taoka, T; Ito, R; Nakamichi, R; Nakane, T; Kawai, H; Naganawa, S

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   23 巻 ( 3 ) 頁: 268 - 290   2024年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    More than 5 years have passed since the Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS) method was proposed with the intention of evaluating the glymphatic system. This method is handy due to its noninvasiveness, provision of a simple index in a straightforward formula, and the possibility of retrospective analysis. Therefore, the ALPS method was adopted to evaluate the glymphatic system for many disorders in many studies. The purpose of this review is to look back and discuss the ALPS method at this moment. The ALPS-index was found to be an indicator of a number of conditions related to the glymphatic system. Thus, although this was expected in the original report, the results of the ALPS method are often interpreted as uniquely corresponding to the function of the glymphatic system. However, a number of subsequent studies have pointed out the problems on the data interpretation. As they rightly point out, a higher ALPS-index indicates predominant Brownian motion of water molecules in the radial direction at the lateral ventricular body level, no more and no less. Fortunately, the term “ALPS-index” has become common and is now known as a common term by many researchers. Therefore, the ALPS-index should simply be expressed as high or low, and whether it reflects a glymphatic system is better to be discussed carefully. In other words, when a decreased ALPS-index is observed, it should be expressed as “decreased ALPS-index” and not directly as “glymphatic dysfunction”. Recently, various methods have been proposed to evaluate the glymphatic system. It has become clear that these methods also do not seem to reflect the entirety of the extremely complex glymphatic system. This means that it would be desirable to use various methods in combination to evaluate the glymphatic system in a comprehensive manner.

    DOI: 10.2463/mrms.rev.2023-0175

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  35. Measurement of solid size in early-stage lung adenocarcinoma by virtual 3D thin-section CT applied artificial intelligence 国際誌 Open Access

    Iwano, S; Kamiya, S; Ito, R; Kudo, A; Kitamura, Y; Nakamura, K; Naganawa, S

    SCIENTIFIC REPORTS   13 巻 ( 1 ) 頁: 21709 - 21709   2023年12月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Scientific Reports  

    An artificial intelligence (AI) system that reconstructs virtual 3D thin-section CT (TSCT) images from conventional CT images by applying deep learning was developed. The aim of this study was to investigate whether virtual and real TSCT could measure the solid size of early-stage lung adenocarcinoma. The pair of original thin-CT and simulated thick-CT from the training data with TSCT images (thickness, 0.5–1.0 mm) of 2700 pulmonary nodules were used to train the thin-CT generator in the generative adversarial network (GAN) framework and develop a virtual TSCT AI system. For validation, CT images of 93 stage 0–I lung adenocarcinomas were collected, and virtual TSCTs were reconstructed from conventional 5-mm thick-CT images using the AI system. Two radiologists measured and compared the solid size of tumors on conventional CT and virtual and real TSCT. The agreement between the two observers showed an almost perfect agreement on the virtual TSCT for solid size measurements (intraclass correlation coefficient = 0.967, P < 0.001, respectively). The virtual TSCT had a significantly stronger correlation than that of conventional CT (P = 0.003 and P = 0.001, respectively). The degree of agreement between the clinical T stage determined by virtual TSCT and the clinical T stage determined by real TSCT was excellent in both observers (k = 0.882 and k = 0.881, respectively). The AI system developed in this study was able to measure the solid size of early-stage lung adenocarcinoma on virtual TSCT as well as on real TSCT.

    DOI: 10.1038/s41598-023-48755-5

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  36. Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction 国際誌 Open Access

    Tatsugami, F; Nakaura, T; Yanagawa, M; Fujita, S; Kamagata, K; Ito, R; Kawamura, M; Fushimi, Y; Ueda, D; Matsui, Y; Yamada, A; Fujima, N; Fujioka, T; Nozaki, T; Tsuboyama, T; Hirata, K; Naganawa, S

    DIAGNOSTIC AND INTERVENTIONAL IMAGING   104 巻 ( 11 ) 頁: 521 - 528   2023年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Diagnostic and Interventional Imaging  

    Recent advances in artificial intelligence (AI) for cardiac computed tomography (CT) have shown great potential in enhancing diagnosis and prognosis prediction in patients with cardiovascular disease. Deep learning, a type of machine learning, has revolutionized radiology by enabling automatic feature extraction and learning from large datasets, particularly in image-based applications. Thus, AI-driven techniques have enabled a faster analysis of cardiac CT examinations than when they are analyzed by humans, while maintaining reproducibility. However, further research and validation are required to fully assess the diagnostic performance, radiation dose-reduction capabilities, and clinical correctness of these AI-driven techniques in cardiac CT. This review article presents recent advances of AI in the field of cardiac CT, including deep-learning-based image reconstruction, coronary artery motion correction, automatic calcium scoring, automatic epicardial fat measurement, coronary artery stenosis diagnosis, fractional flow reserve prediction, and prognosis prediction, analyzes current limitations of these techniques and discusses future challenges.

    DOI: 10.1016/j.diii.2023.06.011

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  37. From FDG and beyond: the evolving potential of nuclear medicine

    Hirata, K; Kamagata, K; Ueda, D; Yanagawa, M; Kawamura, M; Nakaura, T; Ito, R; Tatsugami, F; Matsui, Y; Yamada, A; Fushimi, Y; Nozaki, T; Fujita, S; Fujioka, T; Tsuboyama, T; Fujima, N; Naganawa, S

    ANNALS OF NUCLEAR MEDICINE   37 巻 ( 11 ) 頁: 583 - 595   2023年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Annals of Nuclear Medicine  

    The radiopharmaceutical 2-[fluorine-18]fluoro-2-deoxy-d-glucose (FDG) has been dominantly used in positron emission tomography (PET) scans for over 20 years, and due to its vast utility its applications have expanded and are continuing to expand into oncology, neurology, cardiology, and infectious/inflammatory diseases. More recently, the addition of artificial intelligence (AI) has enhanced nuclear medicine diagnosis and imaging with FDG-PET, and new radiopharmaceuticals such as prostate-specific membrane antigen (PSMA) and fibroblast activation protein inhibitor (FAPI) have emerged. Nuclear medicine therapy using agents such as [<sup>177</sup>Lu]-dotatate surpasses conventional treatments in terms of efficacy and side effects. This article reviews recently established evidence of FDG and non-FDG drugs and anticipates the future trajectory of nuclear medicine.

    DOI: 10.1007/s12149-023-01865-6

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  38. New trend in artificial intelligence-based assistive technology for thoracic imaging 国際誌 Open Access

    Yanagawa, M; Ito, R; Nozaki, T; Fujioka, T; Yamada, A; Fujita, S; Kamagata, K; Fushimi, Y; Tsuboyama, T; Matsui, Y; Tatsugami, F; Kawamura, M; Ueda, D; Fujima, N; Nakaura, T; Hirata, K; Naganawa, S

    RADIOLOGIA MEDICA   128 巻 ( 10 ) 頁: 1236 - 1249   2023年10月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Radiologia Medica  

    Although there is no solid agreement for artificial intelligence (AI), it refers to a computer system with intelligence similar to that of humans. Deep learning appeared in 2006, and more than 10 years have passed since the third AI boom was triggered by improvements in computing power, algorithm development, and the use of big data. In recent years, the application and development of AI technology in the medical field have intensified internationally. There is no doubt that AI will be used in clinical practice to assist in diagnostic imaging in the future. In qualitative diagnosis, it is desirable to develop an explainable AI that at least represents the basis of the diagnostic process. However, it must be kept in mind that AI is a physician-assistant system, and the final decision should be made by the physician while understanding the limitations of AI. The aim of this article is to review the application of AI technology in diagnostic imaging from PubMed database while particularly focusing on diagnostic imaging in thorax such as lesion detection and qualitative diagnosis in order to help radiologists and clinicians to become more familiar with AI in thorax.

    DOI: 10.1007/s11547-023-01691-w

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  39. Clinical applications of artificial intelligence in liver imaging 国際誌

    Yamada, A; Kamagata, K; Hirata, K; Ito, R; Nakaura, T; Ueda, D; Fujita, S; Fushimi, Y; Fujima, N; Matsui, Y; Tatsugami, F; Nozaki, T; Fujioka, T; Yanagawa, M; Tsuboyama, T; Kawamura, M; Naganawa, S

    RADIOLOGIA MEDICA   128 巻 ( 6 ) 頁: 655 - 667   2023年6月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Radiologia Medica  

    This review outlines the current status and challenges of the clinical applications of artificial intelligence in liver imaging using computed tomography or magnetic resonance imaging based on a topic analysis of PubMed search results using latent Dirichlet allocation. LDA revealed that “segmentation,” “hepatocellular carcinoma and radiomics,” “metastasis,” "fibrosis," and "reconstruction" were current main topic keywords. Automatic liver segmentation technology using deep learning is beginning to assume new clinical significance as part of whole-body composition analysis. It has also been applied to the screening of large populations and the acquisition of training data for machine learning models and has resulted in the development of imaging biomarkers that have a significant impact on important clinical issues, such as the estimation of liver fibrosis, recurrence, and prognosis of malignant tumors. Deep learning reconstruction is expanding as a new technological clinical application of artificial intelligence and has shown results in reducing contrast and radiation doses. However, there is much missing evidence, such as external validation of machine learning models and the evaluation of the diagnostic performance of specific diseases using deep learning reconstruction, suggesting that the clinical application of these technologies is still in development.

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  40. Peripheral Retinal Leakage after Intravenous Administration of a Gadolinium-based Contrast Agent: Age Dependence, Temporal and Inferior Predominance and Potential Implications for Eye Homeostasis Open Access

    Naganawa, S; Ito, R; Kawamura, M; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   22 巻 ( 1 ) 頁: 45 - 55   2023年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Purpose: Peripheral retinal leakage (PRL) of contrast medium from the ora serrata (i.e., the peripheral part of the retina) was recently reported in normal eyes using ultra-widefield fluorescein angiography. We occasionally see PRL of gadolinium-based contrast agents (GBCAs) in the vitreous from the temporal and inferior sides of the ora serrata on MR images of subjects without ophthalmic disease. In this study, we retrospectively evaluated these MR images to determine if PRL was associated with aging. We also evaluated whether the initial leakage appeared in the temporal and inferior sides, and whether there was uniform distribution within the vitreous after 24 hours. Methods: In 127 subjects (9 volunteers, 85 patients with sudden deafness, and 33 patients with a suspicion of endolymphatic hydrops), pre-and post-contrast-enhanced heavily T2-weighted 3D-fluid attenuated inversion recovery (FLAIR) images were obtained. The presence or absence of PRL was subjectively evaluated. For patients with a suspicion of endolymphatic hydrops, 3D-real inversion recovery (IR) images were also obtained at pre-, 10 mins, 4 hours, and 24 hours after intravenous administration (IV) of GBCA. Four circular ROIs were placed in the vitreous humor and the signal intensity was measured. Results: In the cases with PRL (n = 88) and without PRL (n = 47), the median age was 59 and 47 years, respectively (P = 0.001). At 4 hours after IV-GBCA, the mean signal increase in the inferior temporal ROI was greater than all the other ROIs. At 24 hours after IV-GBCA, no significant difference in signal intensity was observed for the four ROIs. Conclusion: PRL of GBCA is age-dependent and occurs mainly from the inferior temporal side of the ora serrata. The contrast effect was uniformly distributed at 24 hours after IV-GBCA. Future observations in a variety of diseases will determine the clinical significance of these findings.

    DOI: 10.2463/mrms.mp.2021-0100

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  41. Parasagittal Cystic Lesions May Arise from the Pial Sheath around the Cortical Venous Wall Open Access

    Naganawa, S; Ito, R; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   22 巻 ( 1 ) 頁: 143 - 146   2023年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    It has been reported that perivenous cystic structures near the parasagittal dura are associated with the leakage of gadolinium-based contrast agents at 4 hours after intravenous administration. The origin of such cystic structures remains unknown. While reading many cases of MR cisternography, we noticed that some of the cystic structures appeared to connect to the perivenous subpial space. This new imaging finding might facilitate future research of the waste clearance system for the central nervous system.

    DOI: 10.2463/mrms.bc.2021-0141

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  42. Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging Open Access

    Fujima, N; Kamagata, K; Ueda, D; Fujita, S; Fushimi, Y; Yanagawa, M; Ito, R; Tsuboyama, T; Kawamura, M; Nakaura, T; Yamada, A; Nozaki, T; Fujioka, T; Matsui, Y; Hirata, K; Tatsugami, F; Naganawa, S

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   22 巻 ( 4 ) 頁: 401 - 414   2023年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Due primarily to the excellent soft tissue contrast depictions provided by MRI, the widespread application of head and neck MRI in clinical practice serves to assess various diseases. Artificial intelligence (AI)-based methodologies, particularly deep learning analyses using convolutional neural networks, have recently gained global recognition and have been extensively investigated in clinical research for their applicability across a range of categories within medical imaging, including head and neck MRI. Analytical approaches using AI have shown potential for addressing the clinical limitations associated with head and neck MRI. In this review, we focus primarily on the technical advancements in deep-learning-based methodologies and their clinical utility within the field of head and neck MRI, encompassing aspects such as image acquisition and reconstruction, lesion segmentation, disease classification and diagnosis, and prognostic prediction for patients presenting with head and neck diseases. We then discuss the limitations of current deep-learning-based approaches and offer insights regarding future challenges in this field.

    DOI: 10.2463/mrms.rev.2023-0047

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  43. Interstitial Fluidopathy of the Central Nervous System: An Umbrella Term for Disorders with Impaired Neurofluid Dynamics Open Access

    Taoka, T; Ito, R; Nakamichi, R; Nakane, T; Kawai, H; Naganawa, S

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   23 巻 ( 1 ) 頁: 1 - 13   2022年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Interest in interstitial fluid dynamics has increased since the proposal of the glymphatic system hypothesis. Abnormal dynamics of the interstitial fluid have been pointed out to be an important factor in various pathological statuses. In this article, we propose the concept of central nervous system interstitial fluido-pathy as a disease or condition in which abnormal interstitial fluid dynamics is one of the important factors for the development of a pathological condition. We discuss the aspects of interstitial fluidopathy in various diseases, including Alzheimer’s disease, Parkinson’s disease, normal pressure hydrocephalus, and cerebral small vessel disease. We also discuss a method called “diffusion tensor image analysis along the perivascular space” using MR diffusion images, which is used to evaluate the degree of interstitial fluidopathy or the activity of the glymphatic system.

    DOI: 10.2463/mrms.rev.2022-0012

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  44. Diffusion-weighted image analysis along the perivascular space (DWI-ALPS) for evaluating interstitial fluid status: age dependence in normal subjects Open Access

    Taoka, T; Ito, R; Nakamichi, R; Nakane, T; Sakai, M; Ichikawa, K; Kawai, H; Naganawa, S

    JAPANESE JOURNAL OF RADIOLOGY   40 巻 ( 9 ) 頁: 894 - 902   2022年9月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    Purpose: The purpose of this study was to evaluate the interstitial fluid status in a wide range of age groups using diffusion-weighted image analysis along the perivascular space (DWI–ALPS) method, which is a simplified variation of diffusion tensor image analysis along the perivascular space (DTI–ALPS). Materials and methods: This retrospective study included data from 128 patients who underwent clinical magnetic resonance imaging (MRI) studies, including DWI, and were found to have no abnormal findings in the brain on MRI. Three motion-probing gradients of the DWI were applied in an orthogonal direction to the imaging plane. Apparent diffusion coefficient images in the x-, y-, and z-axes were retrospectively generated, and composite color images were created to locate the projection and association fiber area on the slice including the body of the lateral ventricle. ALPS indices were calculated, and correlations with age were evaluated using linear and second-degree regression analysis. Linear regression analysis was also performed for a subgroup of patients older than 40 years. In addition, an analysis of variance (ANOVA) test among the generations was performed. Results: The linear regression analysis between age and the ALPS index showed a correlation coefficient of −0.20 for all age group and −0.51 for the subgroup older than 40 years. The second-degree regression analysis showed a correlation coefficient of 0.39. ANOVA showed that the 40’s generation showed a statistically significant higher value of ALPS index compared to all other generations except for the 30’s generation. While, the 70’s generation showed a statistically significant lower value of the ALPS index compared to all other generations. Conclusions: The analysis of the DWI–APLS method showed a correlation between age and the ALPS index in second-degree distribution which peaked in the 40’s generation. This finding in normal subjects may be fundamental in the analysis of disease cases. Secondary abstract: We tried to evaluate the glymphatic system status in a wide range of age groups using diffusion-weighted image analysis along the perivascular space (DWI–ALPS) method, and the results showed a correlation between age and the ALPS index in second-degree distribution which peaked in the 40’s generation.

    DOI: 10.1007/s11604-022-01275-0

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  45. Letter to editor on the article "A non-invasive, automated diagnosis of Meniere's disease using radiomics and machine learning on conventional magnetic resonance imaging: a multicentric, case-controlled feasibility study" by van der Lubbe Mfja et al. 国際誌

    Naganawa, S; Ito, R; Taoka, T; Yoshida, T; Sone, M

    RADIOLOGIA MEDICA   127 巻 ( 4 ) 頁: 458 - 459   2022年4月

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    記述言語:英語   出版者・発行元:Radiologia Medica  

    DOI: 10.1007/s11547-022-01486-5

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  46. Reproducibility of diffusion tensor image analysis along the perivascular space (DTI-ALPS) for evaluating interstitial fluid diffusivity and glymphatic function: CHanges in Alps index on Multiple conditiON acquIsition eXperiment (CHAMONIX) study Open Access

    Taoka, T; Ito, R; Nakamichi, R; Kamagata, K; Sakai, M; Kawai, H; Nakane, T; Abe, T; Ichikawa, K; Kikuta, J; Aoki, S; Naganawa, S

    JAPANESE JOURNAL OF RADIOLOGY   40 巻 ( 2 ) 頁: 147 - 158   2022年2月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    Purpose: The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method was developed to evaluate the brain’s glymphatic function or interstitial fluid dynamics. This study aimed to evaluate the reproducibility of the DTI-ALPS method and the effect of modifications in the imaging method and data evaluation. Materials and methods: Seven healthy volunteers were enrolled in this study. Image acquisition was performed for this test–retest study using a fixed imaging sequence and modified imaging methods which included the placement of region of interest (ROI), imaging plane, head position, averaging, number of motion-proving gradients, echo time (TE), and a different scanner. The ALPS-index values were evaluated for the change of conditions listed above. Results: This test–retest study by a fixed imaging sequence showed very high reproducibility (intraclass coefficient = 0.828) for the ALPS-index value. The bilateral ROI placement showed higher reproducibility. The number of averaging and the difference of the scanner did not influence the ALPS-index values. However, modification of the imaging plane and head position impaired reproducibility, and the number of motion-proving gradients affected the ALPS-index value. The ALPS-index values from 12-axis DTI and 3-axis diffusion-weighted image (DWI) showed good correlation (r = 0.86). Also, a shorter TE resulted in a larger value of the ALPS-index. Conclusion: ALPS index was robust under the fixed imaging method even when different scanners were used. ALPS index was influenced by the imaging plane, the number of motion-proving gradient axes, and TE in the imaging sequence. These factors should be uniformed in the planning ALPS method studies. The possibility to develop a 3-axis DWI-ALPS method using three axes of the motion-proving gradient was also suggested.

    DOI: 10.1007/s11604-021-01187-5

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  47. Features from MRI texture analysis associated with survival outcomes in triple-negative breast cancer patients

    Kamiya, S; Satake, H; Hayashi, Y; Ishigaki, S; Ito, R; Kawamura, M; Taoka, T; Iwano, S; Naganawa, S

    BREAST CANCER   29 巻 ( 1 ) 頁: 164 - 173   2022年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Breast Cancer  

    Purpose: The purpose of the study is to evaluate the associations between intratumoral or peritumoral textural features derived from pretreatment magnetic resonance imaging (MRI) and recurrence-free survival (RFS) in triple-negative breast cancer (TNBC) patients. Methods: Forty-three patients with TNBC who underwent preoperative MRI between February 2008 and March 2014 were included. We performed two-dimensional texture analysis on the intratumoral or peritumoral region of interest (ROI) on axial of T2-weighted image (T2WI), dynamic contrast-enhanced (DCE)-MRI and DCE-MRI subtraction images. We also analyzed histopathological data. Cox proportional hazards models were used to investigate associations with survival outcomes. Results: Twelve of the 43 patients (27.9%) had recurrence disease, at a median of 32.5 months follow-up (1.4–61.5 months). In univariate analysis, nine texture features in T2WI and DCE-MRI subtraction images were significantly associated with RFS. In multivariate analysis, intratumoral difference entropy in DCE-MRI subtraction images in the initial phase (hazard ratio 11.71; 95% confidence interval (CI) [1.41, 97.00]; p value 0.023) and, peritumoral difference variance in DCE-MRI subtraction images in the delayed phase (hazard ratio 9.60; 95% CI [1.98, 46.51]; p value 0.005), were both independently associated with RFS. Moreover, multivariate analysis revealed the presence of lymphovascular invasion as independently associated with RFS (hazard ratio 8.13; 95% CI [2.16, 30.30]; p value 0.002). Conclusions: At pretreatment MRI, an intratumoral and peritumoral quantitative approach using texture analysis has the potential to serve as a prognostic marker in patients with TNBC.

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  48. Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence 国際誌

    Satake, H; Ishigaki, S; Ito, R; Naganawa, S

    RADIOLOGIA MEDICA   127 巻 ( 1 ) 頁: 39 - 56   2022年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Radiologia Medica  

    Breast magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast cancer diagnosis and is widely used clinically. Dynamic contrast-enhanced MRI is the basis for breast MRI, but ultrafast images, T2-weighted images, and diffusion-weighted images are also taken to improve the characteristics of the lesion. Such multiparametric MRI with numerous morphological and functional data poses new challenges to radiologists, and thus, new tools for reliable, reproducible, and high-volume quantitative assessments are warranted. In this context, radiomics, which is an emerging field of research involving the conversion of digital medical images into mineable data for clinical decision-making and outcome prediction, has been gaining ground in oncology. Recent development in artificial intelligence has promoted radiomics studies in various fields including breast cancer treatment and numerous studies have been conducted. However, radiomics has shown a translational gap in clinical practice, and many issues remain to be solved. In this review, we will outline the steps of radiomics workflow and investigate clinical application of radiomics focusing on breast MRI based on published literature, as well as current discussion about limitations and challenges in radiomics.

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  49. Cross-sectional Area of the Superior Petrosal Sinus is Reduced in Patients with Significant Endolymphatic Hydrops Open Access

    Naganawa, S; Ito, R; Kawai, H; Kawamura, M; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   21 巻 ( 3 ) 頁: 459 - 467   2022年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Purpose: To evaluate the relationship between the size of the venous structures related to the inner ear and the degree of endolymphatic hydrops (EH). Methods: Thirty-four patients with a suspicion of EH underwent whole brain MR imaging including the inner ear. Images were obtained pre-and post-administration, and at 4 and 24 hours after the intravenous administration of a gadolinium-based contrast agent (IV-GBCA). The cross-sectional areas (CSA) of the internal jugular vein (IJV), superior petrosal sinus (SPS), and inferior petrosal sinus (IPS) were measured on the magnetization prepared rapid acquisition of gradient echo (MPRAGE) images obtained immediately after the IV-GBCA. The grade of EH was determined on the hybrid of reversed image of positive endolymph signal and native image of positive perilymph signal (HYDROPS) images obtained at 4 hours after IV-GBCA as no, mild, and significant EH according to the previously proposed grading system for the cochlea and vestibule, respectively. The ipsilateral CSA was compared between groups with each level of EH grade. P < 0.05 was considered statistically significant. Results: There were no statistically significant differences between EH grades for the CSA of the IJV or that of the IPS in either the cochlea or the vestibule. The CSA of the SPS in the groups with significant EH was significantly smaller than that in the group with no EH, for both the cochlea (P < 0.01) and the vestibule (P < 0.05). In an ROC analysis to predict significant EH, the cut-off CSA value in the SPS was 3.905 mm<sup>2</sup> for the cochlea (AUC: 0.8762, 95% confidence interval [CI]: 0.7952‒0.9572) and 3.805 mm<sup>2</sup> for the vestibule (AUC: 0.7727, 95% CI: 0.6539‒0.8916). Conclusion: In the ears with significant EH in the cochlea or vestibule, the CSA of the ipsilateral SPS was smaller than in the ears without EH.

    DOI: 10.2463/mrms.mp.2021-0010

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  50. MR Imaging of Endolymphatic Hydrops in Five Minutes Open Access

    Naganawa, S; Ito, R; Kawai, H; Kawamura, M; Taoka, T; Sakai, M; Ichikawa, K; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   21 巻 ( 3 ) 頁: 401 - 405   2022年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    In this study, we present images acquired by a fast-imaging method for the evaluation of endolymphatic hydrops after intravenous administration of a single dose of gadolinium-based contrast agent. We utilized the hybrid of reversed image of MR cisternography and a positive perilymph signal by heavily T2-weighted 3D-fluid attenuated inversion recovery-multiplied by T2 (HYDROPS2-Mi2) method combined with deep learning reconstruction denoising. The scan time for the fast protocol was approximately 5 mins, which is far shorter than previously reported scan times. The fast acquisition provides similar image quality and less motion artifacts compared to the longer method.

    DOI: 10.2463/mrms.ici.2021-0022

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  51. COVID-19 肺炎におけるAI研究の動向および問題点について

    伊藤 倫太郎, 岩野 信吾, 長縄 慎二

    医用画像情報学会雑誌   38 巻 ( 2 ) 頁: 32 - 40   2021年7月

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    記述言語:日本語   出版者・発行元:医用画像情報学会  

    <p>There have been many studies on the use of AI for the diagnosis of COVID-19 pneumonia. Although these AIs have high performance, there are several points that need to be considered when using them in clinical practice. In this paper, we comprehensively reviewed the AI studies for COVID-19 pneumonia that were registered in PubMed until December 2020. The performance and problems of these AIs were presented.</p>

    DOI: 10.11318/mii.38.32

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  52. Age estimates from brain magnetic resonance images of children younger than two years of age using deep learning 国際誌

    Kawaguchi, M; Kidokoro, H; Ito, R; Shiraki, A; Suzuki, T; Maki, Y; Tanaka, M; Sakaguchi, Y; Yamamoto, H; Takahashi, Y; Naganawa, S; Natsume, J

    MAGNETIC RESONANCE IMAGING   79 巻   頁: 38 - 44   2021年6月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance Imaging  

    The accuracy of brain age estimates from magnetic resonance (MR) images has improved with the advent of deep learning artificial intelligence (AI) models. However, most previous studies on predicting age emphasized aging from childhood to adulthood and old age, and few studies have focused on early brain development in children younger than 2 years of age. Here, we performed brain age estimates based on MR images in children younger than 2 years of age using deep learning. Our AI model, developed with one slice each of raw T1- and T2-weighted images from each subject, estimated brain age with a mean absolute error of 8.2 weeks (1.9 months). The estimates of our AI model were close to those of human specialists. The AI model also estimated the brain age of subjects with a myelination delay as significantly younger than the chronological age. These results indicate that the prediction accuracy of our AI model approached that of human specialists and that our simple method requiring less data and preprocessing facilitates a radiological assessment of brain development, such as monitoring maturational changes in myelination.

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  53. Diffusion analysis of fluid dynamics with incremental strength of motion proving gradient (DANDYISM) to evaluate cerebrospinal fluid dynamics Open Access

    Taoka, T; Kawai, H; Nakane, T; Abe, T; Nakamichi, R; Ito, R; Sato, Y; Sakai, M; Naganawa, S

    JAPANESE JOURNAL OF RADIOLOGY   39 巻 ( 4 ) 頁: 315 - 323   2021年4月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Japanese Journal of Radiology  

    Purpose: To visualize and analyze the dynamics of cerebrospinal fluid (CSF) motion in the cranium, we evaluated the distribution of motion-related signal dephasing by CSF on Diffusion ANalysis of fluid DYnamics with Incremental Strength of Motion proving gradient (DANDYISM) method, a composite imaging method using various low b values. Materials and methods: This study examined ten subjects aged 25–58. We acquired DWIs on a 3T clinical scanner with b values 0, 50, 100, 200, 300, 500, 700, and 1000 s/mm<sup>2</sup> in total imaging time of 4 min. We constructed DANDYISM images and evaluated the CSF area distribution with decreased motion-dephasing signal using a scoring method. Results: The DANDYISM images showed statistically significant higher CSF scores in the ventral posterior fossa, suprasellar cistern, and Sylvian vallecula compared to the lateral ventricle and frontal and parietal CSF spaces, indicating greater CSF movement in the former areas. Conclusion: The results indicated prominent CSF motions in the ventral portion of the posterior fossa, suprasellar cistern, and Sylvian fissure but smaller motions in the lateral ventricles and parietal subarachnoid space. This method may provide information of CSF dynamics in the clinical settings within short imaging time.

    DOI: 10.1007/s11604-020-01075-4

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    その他リンク: http://link.springer.com/article/10.1007/s11604-020-01075-4/fulltext.html

  54. Iodine-related attenuation in contrast-enhanced dual-energy computed tomography in small-sized solid-type lung cancers is associated with the postoperative prognosis 国際誌 Open Access

    Iwano, S; Kamiya, S; Ito, R; Nakamura, S; Naganawa, S

    CANCER IMAGING   21 巻 ( 1 ) 頁: 7 - 7   2021年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Cancer Imaging  

    Background: To investigate the correlation between iodine-related attenuation in contrast-enhanced dual-energy computed tomography (DE-CT) and the postoperative prognosis of surgically resected solid-type small-sized lung cancers. Methods: We retrospectively reviewed the DE-CT findings and postoperative course of solid-type lung cancers ≤3 cm in diameter. After injection of iodinated contrast media, arterial phases were scanned using 140-kVp and 80-kVp tube voltages. Three-dimensional iodine-related attenuation (3D-IRA) of primary tumors at the arterial phase was computed using the “lung nodule” application software. The corrected 3D-IRA normalized to the patient’s body weight and contrast medium concentration was then calculated. Results: A total of 120 resected solid-type lung cancers ≤3 cm in diameter were selected for analysis (82 males and 38 females; mean age, 67 years). During the observation period (median, 47 months), 32 patients showed postoperative recurrence. Recurrent tumors had significantly lower 3D-IRA and corrected 3D-IRA at early phase compared to non-recurrent tumors (p = 0.046 and p = 0.027, respectively). The area under the receiver operating characteristic curve for postoperative recurrence was 0.624 for the corrected 3D-IRA at early phase (p = 0.025), and the cutoff value was 5.88. Kaplan–Meier curves for disease-free survival indicated that patients showing tumors with 3D-IRA > 5.88 had a significantly better prognosis than those with tumors showing 3D-IRA < 5.88 (p = 0.017). Conclusions: The 3D-IRA of small-sized solid-type lung cancers on contrast-enhanced DE-CT was significantly associated with postoperative prognosis, and low 3D-IRA tumors showed a higher TNM stage and a significantly poorer prognosis.

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  55. Evaluating the Effect of Arterial Pulsation on Cerebrospinal Fluid Motion in the Sylvian Fissure of Patients with Middle Cerebral Artery Occlusion Using Low b-value Diffusion-weighted Imaging Open Access

    Taoka, T; Kawai, H; Nakane, T; Abe, T; Nakamichi, R; Ito, R; Sasaki, Y; Nishida, A; Naganawa, S

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   20 巻 ( 4 ) 頁: 371 - 377   2021年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Purpose: Decrease in signal of the cerebrospinal fluid (CSF) on low b-value diffusion weighted image (DWI) due to non-uniform flow can provide additional information regarding CSF motion. The purpose of the current study was to evaluate whether arterial pulsations constitute the driving force of CSF motion. Methods: We evaluated the CSF signals within the Sylvian fissure on low b-value DWI in 19 patients with unilateral middle cerebral artery (MCA) occlusion. DWI with b-value of 500 s/mm<sup>2</sup> was evaluated for a decrease in CSF signal within the Sylvian fissure including the Sylvian vallecula and lower, middle, and higher Sylvian fissures and graded as follows: the same as contralateral side; smaller signal decrease than that on contralateral side; and no signal decrease. MR angiography (MRA) findings of MCA were graded as follows: the same as contralateral, lower signal than contralateral signal, and no signal. In 15 patients, regional cerebral blood flow (rCBF) was evaluated using single-photon emission computed tomography (SPECT) studies and graded as > 90%, 90%–70%, and < 70% rCBF compared to contralateral. The correlations between the gradings were evaluated using G likelihood-ratio test. Results: There was no statistically significant correlation between the MRA and low b-value DWI gradings of CSF in all areas. There were statistically significant correlations between the decreases in CBF on SPECT and CSF signals in the middle Sylvian fissure. Conclusion: The driving force of CSF pulsation in the Sylvian sinus may be related to the pulsations of the cerebral hemisphere rather than direct arterial pulsations.

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  56. Relationship between Time-dependent Signal Changes in Parasagittal Perivenous Cysts and Leakage of Gadolinium-based Contrast Agents into the Subarachnoid Space Open Access

    Naganawa, S; Ito, R; Nakamichi, R; Kawamura, M; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   20 巻 ( 4 ) 頁: 378 - 384   2021年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Purpose: To investigate the association between signal changes over time in perivenous cystic structures near the superior sagittal sinus and leakage of a gadolinium-based contrast agent (GBCA) into the subarachnoid space in patients with suspected endolymphatic hydrops. Methods: Fifty-one cystic structures in 27 cases were evaluated. The signal intensity of the cystic structures was measured on 3D real inversion recovery (3D-real IR) images obtained at pre-, and at 10 min, 4 hrs and 24 hrs post-intravenous administration (IV) of GBCA. Signal enhancement of the cystic structures from the pre-contrast images at each time point was compared in subjects with leakage (positive) versus those without leakage (negative) using an ANOVA. Fisher’s exact probability test was used to compare the maximum contrast-enhanced time point between positive and negative groups. We used 5% as a threshold to determine statistical significance. Results: In leakage positive subjects, mean signal enhancement of the cysts was significantly greater at 4 and 24 hrs compared to 10 min. However, although there was a trend of an increase from 4 to 24 hrs, the difference was not significant. In the leakage negative group, mean signal enhancement of the cysts was significantly higher at 4 hrs compared to 10 min and 24 hrs. There was no significant difference between 10 min and 24 hrs. In the positive group, the maximum signal increase was found in 10/38 and 28/38 cysts at 4 and 24 hrs after IV-GBCA, respectively. In the leakage negative group, the maximum signal increase was found in 10/13 and 3/13 cysts at 4 and 24 hrs, respectively (P = 0.0019). Conclusion: There was an association between signal changes over time after IV-GBCA in perivenous cystic structures and leakage of GBCA. Further research to clarify the impact of cystic structures on the function of the waste clearance system of the brain is warranted.

    DOI: 10.2463/mrms.mp.2020-0138

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  57. Relationship between Parasagittal Perivenous Cysts and Leakage of Gadolinium-based Contrast Agents into the Subarachnoid Space around the Cortical Veins after Intravenous Administration 査読有り Open Access

    Naganawa, S; Ito, R; Nakamichi, R; Kawamura, M; Kawai, H; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   20 巻 ( 3 ) 頁: 245 - 252   2021年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Purpose: The purpose of this retrospective study was to investigate the relationship between the number and size of cystic structures around the cortical veins near the superior sagittal sinus and the leakage of gadolinium-based contrast agent (GBCA) around the cortical veins. Methods: Of 190 patients (91 male and 99 female), that were scanned at 4 h after an intravenous injection of GBCA as a diagnostic examination for endolymphatic hydrops, 6 patients with GBCA leakage were younger than the previously proposed threshold age of 37.3 years for leakage. Six age-matched patients without leakage were also included for reference. In addition, we included 8 cases without leakage that were older than the hypothesized threshold of 37.3 years, as well as 8 age-matched patients with GBCA leakage into the cerebrospinal fluid space. The number of cysts was counted and the sizes were measured in these 28 patients (age: 32–60 years old, 13 men and 15 women). Results: The mean number of cysts surrounding the cortical veins in the parasagittal region was 4.29 ± 1.77 vs. 1.79 ± 1.05 (P = 0.0001) in the subjects with and without GBCA leakage, respectively. The mean size of the largest cysts was at 8.89 ± 3.49 mm vs. 5.69 ± 2.29 (P = 0.009) in the subjects with and without GBCA leakage, respectively. Conclusion: The number and size of the perivenous cystic structures near the superior sagittal sinus is greater in subjects with GBCA leakage into the subarachnoid space compared with those without leakage. Future research regarding the histological and functional details of these parasagittal cystic structures is needed.

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  58. Intracranial Distribution of Intravenously Administered Gadolinium-based Contrast Agent over a Period of 24 Hours: Evaluation with 3D-real IR Imaging and MR Fingerprinting 査読有り Open Access

    Naganawa, S; Ito, R; Kato, Y; Kawai, H; Taoka, T; Yoshida, T; Maruyama, K; Murata, K; Körzdörfer, G; Pfeuffer, J; Nittka, M; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   20 巻 ( 1 ) 頁: 91 - 98   2021年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Purpose: To evaluate the feasibility for the detection of slight contrast effects after intravenous administration of single dose gadolinium-based contrast agent (IV-SD-GBCA), the time course of the GBCA distribution up to 24 h was examined in various fluid spaces and brain parenchyma using 3D-real IR imaging and MR fingerprinting (MRF). Methods: Twenty-four patients with a suspicion of endolymphatic hydrops were scanned at pre-administration and at 10 min, 4 and 24 h post-IV-SD-GBCA. 3D-real IR images and MRF at the level of the internal auditory canal were obtained. The signal intensity on the 3D-real IR image of the cerebrospinal fluid (CSF) in the cerebellopontine angle cistern (CPA), Sylvian fissure (Syl), lateral ventricle (LV), and cochlear perilymph (CPL) was measured. The T<inf>1</inf> and T<inf>2</inf> values of cerebellar gray (GM) and white matter (WM) were measured using MRF. Each averaged value at the various time points was compared using an analysis of variance. Results: The signal intensity on the 3D-real IR image in each CSF region peaked at 4 h, and was decreased significantly by 24 h (P < 0.05). All patients had a maximum signal intensity at 4 h in the CPA, and Syl. The mean CPL signal intensity peaked at 4 h and decreased significantly by 24 h (P < 0.05). All patients but two had a maximum signal intensity at 4 h. Regarding the T<inf>1</inf> value in the cerebellar WM and GM, the T<inf>1</inf> value at 10 min post-IV-GBCA was significantly decreased compared to the pre-contrast scan, but no significant difference was observed at the other time points. There was no significant change in T<inf>2</inf> in the gray or white matter at any of the time points. Conclusion: Time course of GBCA after IV-SD-GBCA could be evaluated by 3D-real IR imaging in CSF spaces and in the brain by MRF.

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  59. A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019 査読有り 国際誌 Open Access

    Ito, R; Iwano, S; Naganawa, S

    DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY   26 巻 ( 5 ) 頁: 443 - 448   2020年9月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Diagnostic and Interventional Radiology  

    The results of research on the use of artificial intelligence (AI) for medical imaging of the lungs of patients with coronavirus disease 2019 (COVID-19) has been published in various forms. In this study, we reviewed the AI for diagnostic imaging of COVID-19 pneumonia. PubMed, arX-iv, medRxiv, and Google scholar were used to search for AI studies. There were 15 studies of COVID-19 that used AI for medical imaging. Of these, 11 studies used AI for computed tomography (CT) and 4 used AI for chest radiography. Eight studies presented independent test data, 5 used disclosed data, and 4 disclosed the AI source codes. The number of datasets ranged from 106 to 5941, with sensitivities ranging from 0.67–1.00 and specificities ranging from 0.81–1.00 for prediction of COVID-19 pneumonia. Four studies with independent test datasets showed a breakdown of the data ratio and reported prediction of COVID-19 pneumonia with sensitivity, specificity, and area under the curve (AUC). These 4 studies showed very high sensitivity, specificity, and AUC, in the range of 0.9–0.98, 0.91–0.96, and 0.96–0.99, respectively.

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  60. Unexpected radioactive iodine accumulation on whole-body scan after I-131 ablation therapy for differentiated thyroid cancer 査読有り

    Iwano, S; Ito, S; Kamiya, S; Ito, R; Kato, K; Naganawa, S

    NAGOYA JOURNAL OF MEDICAL SCIENCE   82 巻 ( 2 ) 頁: 205 - 215   2020年5月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Nagoya Journal of Medical Science  

    We retrospectively evaluated the frequency of unexpected accumulation of radioactive iodine on the post-therapy whole-body scan (Rx-WBS) after radioactive iodine (RAI) ablation therapy in patients with differentiated thyroid cancer (DTC). We searched our institutional database for Rx-WBSs of DTC patients who underwent RAI ablation or adjuvant therapy between 2012 and 2019. Patients with distant metastasis diagnosed by CT or PET/CT before therapy, and those had previously received RAI therapy were excluded. In total, 293 patients (201 female and 92 male, median age 54 years) were selected. Two nuclear medicine physicians interpreted the Rx-WBS images by determining the visual intensity of radioiodine uptake by the thyroid bed, cervical and mediastinal lymph nodes, lungs, and bone. Clinical features of the patients with and without the metastatic accumulation were compared by chi-square test and median test. Logistic regression analyses were performed to compare the association between the presence of metastatic accumulation and these clinical factors. Eighty-four of 293 patients (28.7%) showed metastatic accumulation. Patients with metastatic RAI accumulation showed a significantly higher frequency of pathological N1 (pN1) and serum thyroglobulin (Tg) > 1.5 ng/ml under TSH stimulation (p = 0.035 and p = 0.031, respectively). Logistic regression analysis indicated that a serum Tg > 1.5 ng/ml was significantly correlated with the presence of metastatic accumulation (odds ratio = 1.985; p = 0.033). In conclusion, Patients with Tg > 1.5 ng/ml were more likely to show metastatic accumulation. In addition, the presence of lymph node metastasis at the initial thyroid surgery was also associated with this unexpected metastatic accumulation.

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  61. White matter microstructural changes in tuberous sclerosis: Evaluation by neurite orientation dispersion and density imaging (NODDI) and diffusion tensor images 査読有り 国際誌 Open Access

    Taoka, T; Aida, N; Fujii, Y; Ichikawa, K; Kawai, H; Nakane, T; Ito, R; Naganawa, S

    SCIENTIFIC REPORTS   10 巻 ( 1 ) 頁: 436 - 436   2020年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Scientific Reports  

    Neurite orientation dispersion and density imaging (NODDI) is a novel diffusion method for evaluating tissue microstructure, and may provide additional information over conventional diffusion tensor imaging (DTI). We evaluated NODDI and DTI parameters in cases of tuberous sclerosis (TS) to assess microstructural changes in the white matter. Eleven cases of tuberous sclerosis and eight age-matched controls underwent NODDI and DTI. We performed qualitative analysis and tract-based spatial statistics (TBSS) analysis of the NODDI parameters (Ficv: intracellular volume fraction, Fiso: isotropic fraction, ODI: orientation dispersion index) as well as DTI parameters (MD: mean diffusivity, FA: fractional anisotropy). We also performed a correlation analysis between clinical symptoms and parameters. The qualitative analysis indicated that the Ficv had a lower value in TS cases particularly in the tubers adjacent to the white matter. The TBSS analysis showed that the TS cases had decreased Ficv in a greater area compared to the other parameters including MD. In particular, the Ficv was decreased in deep white matter, such as the superior longitudinal fascicles (SLF). The application of NODDI to TS cases revealed tissue microstructural changes, and particularly the Ficv could detect more widespread abnormalities in white matter structure compared to DTI parameters.

    DOI: 10.1038/s41598-019-57306-w

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  62. Confirmation of Age-dependence in the Leakage of Contrast Medium around the Cortical Veins into Cerebrospinal Fluid after Intravenous Administration of Gadolinium-based Contrast Agent 査読有り Open Access

    Naganawa, S; Ito, R; Kawai, H; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   19 巻 ( 4 ) 頁: 375 - 381   2020年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    Purpose: It has been reported previously that intravenously administered gadolinium-based contrast agent (GBCA) leaks into the subarachnoid space around the cortical veins at 4 h after injection in all old people over 37 years, but not in younger people up to 37 years of age in 3D-real IR images. The purpose of this study was to investigate whether there was a strict threshold of 37 years of age for the leakage of the GBCA into the subarachnoid space. Methods: The subjects included 190 patients, that were scanned for 3D-real IR images at 4 hours after intravenous injection of GBCA as a diagnostic test for endolymphatic hydrops. The patient’s age ranged from 14 to 81 years. Two experienced neuroradiologists evaluated the images to determine whether the GBCA leakage around the cortical veins was positive or negative. Any discrepancies between the two observers were discussed and a consensus was obtained. A Mann–Whitney U test and receiver operating characteristic (ROC) curve analysis were used to compare the positive and the negative group and to set the age cut-off value for the prediction of GBCA leakage. Results: The GBCA leakage around the cortical veins was negative in 35 patients and positive in 155 patients. The average age was 33 ± 11 years in the negative group, and 55 ± 12 years in the positive group (P < 0.01). In the ROC analysis for the age and leakage of the GBCA, an area under the curve was 0.905 and the cut-off age was 37.317 years (sensitivity of 0.942 and specificity of 0.771). Conclusion: Intravenously administered GBCA leaks into the subarachnoid space around the cortical veins in most patients over 37 years of age. However, it should be noted that it can be found occasionally in patients under 37 years of age.

    DOI: 10.2463/mrms.mp.2019-0182

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  63. The Space between the Pial Sheath and the Cortical Venous Wall May Connect to the Meningeal Lymphatics 査読有り Open Access

    Naganawa, S; Ito, R; Taoka, T; Yoshida, T; Sone, M

    MAGNETIC RESONANCE IN MEDICAL SCIENCES   19 巻 ( 1 ) 頁: 1 - 4   2020年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Magnetic Resonance in Medical Sciences  

    We currently obtain pre-and post-contrast enhanced whole brain 3D-real inversion recovery images for the evaluation of endolymphatic hydrops. We noticed that the space between the pial sheath surrounding the cortical veins and the cortical venous wall is enhanced and this enhancement seems to connect to the meningeal lymphatics along superior sagittal sinus. This new anatomical concept regarding the outflow from the glymphatic system might be important for the future research in neuroscience.

    DOI: 10.2463/mrms.bc.2019-0099

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  64. Kinetic volume analysis on dynamic contrast-enhanced MRI of triple-negative breast cancer: associations with survival outcomes 査読有り 国際誌 Open Access

    Hayashi, Y; Satake, H; Ishigaki, S; Ito, R; Kawamura, M; Kawai, H; Iwano, S; Naganawa, S

    BRITISH JOURNAL OF RADIOLOGY   93 巻 ( 1106 ) 頁: 20190712 - 20190712   2020年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:British Journal of Radiology  

    Objective: To evaluate the associations between computer-aided diagnosis (CAD)-generated kinetic volume parameters and survival in triple-negative breast cancer (TNBC) patients. Methods: 40 patients with TNBC who underwent pre-operative MRI between March 2008 and March 2014 were included. We analyzed CAD-generated parameters on dynamic contrast-enhanced MRI, visual MRI assessment, and histopathological data. Cox proportional hazards models were used to determine associations with survival outcomes. Results: 12 of the 40 (30.0%) patients experienced recurrence and 7 died of breast cancer after a median follow-up of 73.6 months. In multivariate analysis, higher percentage volume (%V) with more than 200% initial enhancement rate correlated with worse disease-specific survival (hazard ratio, 1.12; 95% confidence interval, 1.02-1.22; p-value, 0.014) and higher %V with more than 100% initial enhancement rate followed by persistent curve type at 30% threshold correlated with worse disease-specific survival (hazard ratio, 1.33; 95% confidence interval, 1.10-1.61; p-value, 0.004) and disease-free survival (hazard ratio, 1.27; 95% confidence interval, 1.12-1.43; p-value, 0.000). Conclusion: CAD-generated kinetic volume parameters may correlate with survival in TNBC patients. Further study would be necessary to validate our results on larger cohorts. Advances in knowledge: CAD generated kinetic volume parameters on breast MRI can predict recurrence and survival outcome of patients in TNBC. Varying the enhancement threshold improved the predictive performance of CAD generated kinetic volume parameter.

    DOI: 10.1259/bjr.20190712

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  65. Multimodal Imaging in Bilateral Nature of the Choroidal Osteoma After Intraocular Inflammation Caused by Harada Disease 査読有り 国際誌

    Ozawa, K; Iwase, T; Ito, Y; Onda, M; Shiraki, I; Kumada, M; Ito, R; Mochizuki, K

    RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES   39 巻 ( 9 ) 頁: E40 - E41   2019年9月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Retina  

    DOI: 10.1097/IAE.0000000000002611

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  66. Utility of Metabolic Parameters on FDG PET/CT in the Classification of Early-Stage Lung Adenocarcinoma Prediction of Pathological Invasive Size 査読有り 国際誌

    Iwano, S; Ito, S; Kamiya, S; Ito, R; Kato, K; Naganawa, S

    CLINICAL NUCLEAR MEDICINE   44 巻 ( 7 ) 頁: 560 - 565   2019年7月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Clinical Nuclear Medicine  

    Purpose This paper aims to explore the role of a metabolic parameter on <sup>18</sup>F-FDG-PET/CT for clinical T-classification in early-stage adenocarcinoma. Patients and Methods One hundred six surgically resected pathological TNM stage (p-stage) 0/I lung adenocarcinomas were retrospectively reviewed. The solid size (SS) measured on thin-section CT and the pathological invasive size (IS) of tumors were recorded. The SUVmax and metabolic tumor volume with SUV ≥1.0 (MTV<inf>1.0</inf>) derived from PET/CT data were measured on a workstation, and the metabolic tumor diameter with SUV ≥1.0 (MTD<inf>1.0</inf>) was calculated automatically from MTV<inf>1.0</inf>. For the correlations between the IS and the SS, MTD<inf>1.0</inf>, or SUVmax, Pearson's correlation coefficients were compared using the Meng-Rosenthal-Rubin method. Additionally, the reproducibility between the clinical TNM stage (c-stage), based on the SS or MTD<inf>1.0</inf>, and the p-stage was analyzed using the kappa coefficient (k). Results For the correlations between the IS and the other parameters, Pearson correlation coefficient was 0.630 for the SS, 0.600 for the SUVmax, and 0.725 for MTD<inf>1.0</inf>. MTD<inf>1.0</inf> correlated significantly and more strongly with the IS than the SS and the SUVmax did (P = 0.040, and P = 0.008, respectively). The reproducibility between p-stage and c-stage based on the SS was moderate (k = 0.529, P < 0.001), whereas that between p-stage and c-stage based on MTD<inf>1.0</inf> was substantial (k = 0.676, P < 0.001). Conclusions MTD<inf>1.0</inf> on FDG-PET/CT was correlated significantly and more strongly with the pathological IS in lung adenocarcinomas than with the SS on thin-section CT. FDG-PET/CT could classify more precisely early-stage lung adenocarcinoma than the presently used T-classification based on thin-section CT findings.

    DOI: 10.1097/RLU.0000000000002591

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  67. Computer-aided Volumetry of Part-Solid Lung Cancers by Using CT: Solid Component Size Predicts Prognosis 査読有り 国際誌

    Kamiya, S; Iwano, S; Umakoshi, H; Ito, R; Shimamoto, H; Nakamura, S; Naganawa, S

    RADIOLOGY   287 巻 ( 3 ) 頁: 1030 - 1040   2018年6月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Radiology  

    Purpose: To investigate the relationship between the postoperative prognosis of patients with part-solid non–small cell lung cancer and the solid component size acquired by using three-dimensional (3D) volumetry software on multidetector computed tomographic (CT) images. Materials and A retrospective study by using preoperative multidetector Methods: CT data with 0.5-mm section thickness, clinical records, and pathologic reports of 96 patients with primary subsolid non–small cell lung cancer (47 men and 49 women; mean age 6 standard deviation, 66 years 6 8) were reviewed. Two radiologists measured the two-dimensional (2D) maximal solid size of each nodule on an axial image (hereafter, 2D MSSA), the 3D maximal solid size on multiplanar reconstructed images (hereafter, 3D MSSMPR), and the 3D solid volume of greater than 0 HU (hereafter, 3D SV<inf>0HU</inf>) within each nodule. The correlations between the postoperative recurrence and the effects of clinical and pathologic characteristics, 2D MSSA, 3D MSSMPR, and 3D SV<inf>0HU</inf> as prognostic imaging biomarkers were assessed by using a Cox proportional hazards model. Results: For the prediction of postoperative recurrence, the area under the receiver operating characteristics curve was 0.796 (95% confidence interval: 0.692, 0.900) for 2D MSSA, 0.776 (95% confidence interval: 0.667, 0.886) for 3D MSSMPR, and 0.835 (95% confidence interval: 0.749, 0.922) for 3D SV<inf>0HU</inf>. The optimal cutoff value for 3D SV<inf>0HU</inf> for predicting tumor recurrence was 0.54 cm<sup>3</sup>, with a sensitivity of 0.933 (95% confidence interval: 0.679, 0.998) and a specificity of 0.716 (95% confidence interval: 0.605, 0.811) for the recurrence. Significant predictive factors for disease-free survival were 3D SV<inf>0HU</inf> greater than or equal to 0.54 cm<sup>3</sup> (hazard ratio, 6.61; P = .001) and lymphatic and/or vascular invasion derived from histopathologic analysis (hazard ratio, 2.96; P = .040). Conclusion: The measurement of 3D SV<inf>0HU</inf> predicted the postoperative prognosis of patients with part-solid lung cancer more accurately than did 2D MSSA and 3D MSSMPR.

    DOI: 10.1148/radiol.2018172319

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  68. FDG PET/CT Overcomes Discordance Between Clinical and Pathologic TNM Classification of Small-size Primary Lung Cancer: Influence on Postoperative Prognosis 査読有り 国際誌 Open Access

    Umakoshi, H; Iwano, S; Yokoi, K; Ito, S; Ito, R; Kawaguchi, K; Fukui, T; Naganawa, S

    CLINICAL LUNG CANCER   19 巻 ( 1 ) 頁: E37 - E45   2018年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Clinical Lung Cancer  

    We reviewed the concordance between the clinical stage and pathologic stage for primary lung cancer. We evaluated 289 surgically resected lung cancers ≤ 3 cm. Multivariate survival analysis showed that the significant predictive factors for postoperative disease-free survival were pathologic stage and the maximum standardized uptake value (SUVmax) of primary lesions. Combining SUVmax with clinical stage might improve the prediction of therapeutic outcomes. Introduction: We aimed to determine the concordance between the clinical stage (c-stage) and pathologic stage (p-stage) for patients with small-size lung cancer. Additionally we searched for prognostic factors other than the TNM stage. Patients and Methods: We retrospectively reviewed the preoperative multidetector computed tomography (CT) and positron emission tomography/CT reports, surgical records, and pathologic reports of patients with primary lung cancer ≤ 3 cm. The Union for International Cancer Control TNM seventh edition classification of c-stage and p-stage were compared. The tumors were classified into multiple subgroups by concordance or discordance between the c-stage and p-stage. Disease-free survival (DFS) was assessed using survival analysis to assess the tumor characteristics that were predictive of prognosis. Results: A total of 289 surgically resected primary lung cancers were evaluated. The concordance between c-stage and p-stage was 65.4%, with moderate reproducibility (kappa coefficient, 0.467). The upstaging rate from c-stage I to p-stage II-IV was 9.4%, and these patients had significantly worse DFS than those with a concordant stage I classification (P <.001). The main reason for upstaging was an underestimation of metastases to the hilar lymph nodes (n = 7) or mediastinal lymph nodes (n = 11). A multivariate Cox proportional hazards model showed that the significant predictive factors for DFS were p-stage (hazard ratio, 1.342; P =.003) and maximum standardized uptake value on positron emission tomography/CT (hazard ratio, 12.162; P =.001). Conclusion: The concordance rate between c-stage and p-stage for small primary lung cancers had moderate reproducibility. Discordance between c-stage I and p-stage II-IV significantly affected DFS. The maximum standardized uptake value of the primary lesion was an independent prognostic factor, and combining it with c-stage might improve the prediction of therapeutic outcomes.

    DOI: 10.1016/j.cllc.2017.05.021

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  69. A comparative analysis of dual-phase dual-energy CT and FDG-PET/CT for the prediction of histopathological invasiveness of non-small cell lung cancer 査読有り 国際誌

    Ito, R; Iwano, S; Shimamoto, H; Umakoshi, H; Kawaguchi, K; Ito, S; Kato, K; Naganawa, S

    EUROPEAN JOURNAL OF RADIOLOGY   95 巻   頁: 186 - 191   2017年10月

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    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:European Journal of Radiology  

    Purpose To compare dual-phase dual-energy CT (DE-CT) with FDG-PET/CT for predicting histopathological locoregional invasiveness of non-small cell lung cancers (NSCLCs). Materials and methods We selected 63 consecutive patients with NSCLC lesions (37 males, 26 females; age range, 44–85 years; mean age, 69 years) who were evaluated preoperatively by both DE-CT and PET/CT at our institution. Postoperative microscopic invasiveness (lymphatic permeation, vascular invasion, and/or pleural involvement) was reviewed, and we defined locoregionally invasive tumors as those that had at least one positive finding of microscopic invasiveness. DE-CT scanning in the arterial and delayed phases was performed after injection of iodinated contrast media using 140-kVp and 80-kVp tube voltages. Three-dimensional iodine-related attenuation of primary tumors in the arterial and delayed phases was quantified automatically using “syngo Dual Energy Lung Nodules” application software, and the ratio of arterial phase to delayed phase enhancement (A/D ratio) was calculated. The A/D ratio and SUVmax on PET/CT were evaluated with respect to postoperative invasiveness by univariate logistic regression analysis. Results The A/D ratio was significantly correlated with lymphatic permeation, vascular invasion, and pleural involvement (p = 0.011, p = 0.021, and p = 0.010, respectively). In contrast, the SUVmax was significantly correlated with pleural involvement (p = 0.020) but not with lymphatic permeation or vascular invasion (p = 0.088 and p = 0.100, respectively). In the subgroup of patients with lesion diameters ≤2 cm, the A/D ratio was significantly correlated with locoregional invasiveness (p = 0.040), while the SUVmax was not (p = 0.121). Conclusion For the prediction of microscopic invasiveness of NSCLCs, the diagnostic performance of dual-phase DE-CT may be comparable to that of FDG-PET/CT.

    DOI: 10.1016/j.ejrad.2017.08.010

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  70. Thoracic Temporal Subtraction Three Dimensional Computed Tomography (3D-CT): Screening for Vertebral Metastases of Primary Lung Cancers 査読有り 国際誌 Open Access

    Iwano, S; Ito, R; Umakoshi, H; Karino, T; Inoue, T; Li, YZ; Naganawa, S

    PLOS ONE   12 巻 ( 1 ) 頁: e0170309   2017年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Plos One  

    Purpose: We developed an original, computer-aided diagnosis (CAD) software that subtracts the initial thoracic vertebral three-dimensional computed tomography (3D-CT) image from the follow-up 3D-CT image. The aim of this study was to investigate the efficacy of this CAD software during screening for vertebral metastases on follow-up CT images of primary lung cancer patients. Materials and Methods: The interpretation experiment included 30 sets of follow-up CT scans in primary lung cancer patients and was performed by two readers (readers A and B), who each had 2.5 years' experience reading CT images. In 395 vertebrae from C6 to L3, 46 vertebral metastases were identified as follows: osteolytic metastases (n = 17), osteoblastic metastases (n = 14), combined osteolytic and osteoblastic metastases (n = 6), and pathological fractures (n = 9). Thirty-six lesions were in the anterior component (vertebral body), and 10 lesions were in the posterior component (vertebral arch, transverse process, and spinous process). The area under the curve (AUC) by receiver operating characteristic (ROC) curve analysis and the sensitivity and specificity for detecting vertebral metastases were compared with and without CAD for each observer. Results: Reader A detected 47 abnormalities on CT images without CAD, and 33 of them were truepositive metastatic lesions. Using CAD, reader A detected 57 abnormalities, and 38 were true positives. The sensitivity increased from 0.717 to 0.826, and on ROC curve analysis, AUC with CAD was significantly higher than that without CAD (0.849 vs. 0.902, p = 0.021). Reader B detected 40 abnormalities on CT images without CAD, and 36 of them were truepositive metastatic lesions. Using CAD, reader B detected 44 abnormalities, and 39 were true positives. The sensitivity increased from 0.783 to 0.848, and AUC with CAD was nonsignificantly higher than that without CAD (0.889 vs. 0.910, p = 0.341). Both readers detected more osteolytic and osteoblastic metastases with CAD than without CAD. Conclusion: Our temporal 3D-CT subtraction CAD software easily detected vertebral metastases on the follow-up CT images of lung cancer patients regardless of the osteolytic or osteoblastic nature of the lesions.

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  71. Correlation between FDG-PET/CT findings and solid type non-small cell cancer prognostic factors: are there differences between adenocarcinoma and squamous cell carcinoma? 査読有り

    Ito R, Iwano S, Kishimoto M, Ito S, Kato K, Naganawa S

    Annals of nuclear medicine   29 巻 ( 10 ) 頁: 897-905   2015年12月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1007/s12149-015-1025-z

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  72. Evaluation of lung cancer by enhanced dual-energy CT: association between three-dimensional iodine concentration and tumour differentiation. 査読有り

    Iwano S, Ito R, Umakoshi H, Ito S, Naganawa S

    The British journal of radiology   88 巻 ( 1055 ) 頁: 20150224   2015年

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1259/bjr.20150224

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  73. Prognostic evaluations of small size lung cancers by 18F-FDG PET/CT and thin-section CT. 査読有り

    Kishimoto M, Iwano S, Ito S, Kato K, Ito R, Naganawa S

    Lung cancer (Amsterdam, Netherlands)   86 巻 ( 2 ) 頁: 180-4   2014年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1016/j.lungcan.2014.09.006

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  74. Prediction of pathologic prognostic factors in patients with lung adenocarcinomas: comparison of thin-section computed tomography and positron emission tomography/computed tomography. 査読有り

    Iwano S, Kishimoto M, Ito S, Kato K, Ito R, Naganawa S

    Cancer imaging : the official publication of the International Cancer Imaging Society   14 巻   頁: 3   2014年4月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1186/1470-7330-14-3

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  1. Rad Fan

    伊藤 倫太郎

    メディカルアイ  2022年 

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MISC 44

  1. AIで広がる医療の可能性 医療AIをめぐる動向 まだ間に合う!初学者のための医療AI入門

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    日本神経放射線学会プログラム・抄録集53rd 巻   2024年

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  3. だからAIを使いたい(作りたい)AIとともに

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    JCRニュース ( 260 )   2024年

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  4. Trends in Nuclear Medicine2024 核医学の最新動向 10年先を見据えた核医学技術 III 10年先を見据えたソフトウエア・AIの技術と将来展望 3.生成AI/LLMの核医学への展開

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    伊藤倫太郎  

    脈管学(Web)64 巻 ( Supplement )   2024年

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  7. SMART-ALPS法による間質液動態の高時間分解能での評価

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    日本神経放射線学会プログラム・抄録集52nd 巻   2023年

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    Rad Fan21 巻 ( 14 )   2023年

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  9. 脳内リンパ系(Glymphatic system)の非侵襲的評価方法:硬膜下血腫症例でのDiffusion Weighted Image Analysis Along the Perivascular Space(DWI-ALPS)法による脳間質液動態評価の試み

    田岡俊昭, 田岡俊昭, 伊藤倫太郎, 伊藤倫太郎, 中道玲瑛, 長縄慎二  

    日本宇宙航空環境医学会大会プログラム抄録集69th (CD-ROM) 巻   2023年

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  10. 人工知能を応用したバーチャル3D thin-section CTを用いた肺腺癌の充実成分径の計測

    岩野 信吾, 神谷 晋一朗, 伊藤 倫太郎, 工藤 彰, 北村 嘉郎, 中村 圭児, 長縄 慎二  

    断層映像研究会雑誌49 巻 ( 2 ) 頁: 39 - 39   2022年9月

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    記述言語:日本語   出版者・発行元:断層映像研究会  

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  11. GLUT-1欠損症の診断におけるFDG-PET画像の有用性に関する検討

    鈴井良輔, 夏目淳, 夏目淳, 鈴木健史, 川口将宏, 伊藤倫太郎, 成田肇, 光松孝真, 隈井すみれ, 澤村文, 白木杏奈, 伊藤祐史, 山本啓之, 中田智彦, 加藤克彦, 城所博之  

    てんかん研究40 巻 ( 2 ) 頁: 453 - 453   2022年

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    記述言語:日本語   出版者・発行元:(一社)日本てんかん学会  

    J-GLOBAL

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  12. 鼻腔glomangiopericytomaの2症例

    阿部考志, 伊藤倫太郎, 中道玲瑛, 阿部有美, 川井恒, 田岡俊昭, 佐竹弘子, 長縄慎二  

    Japanese Journal of Radiology40 巻 ( Supplement )   2022年

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  13. 硬膜下血腫例でのDiffusion Weighted Image Analysis Along the Perivascular Space(DWI-ALPS)の応用

    田岡俊昭, 伊藤倫太郎, 中道玲瑛, 中根俊樹, 市川和茂, 酒井黛呼, 長縄慎二  

    日本神経放射線学会プログラム・抄録集51st 巻   2022年

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  14. 深層学習を用いた新生児頭部エコー画像による脳室周囲白質軟化症の発症予測

    川口将宏, 城所博之, 白木杏奈, 山本啓之, 中田智彦, 夏目淳, 夏目淳, 高橋義行, 伊藤倫太郎, 野田晴香, 前田剛志, 上田一仁, 伊藤美春, 佐藤義朗, 早川昌弘  

    日本小児科学会雑誌126 巻 ( 10 ) 頁: 1445 - 1445   2022年

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    記述言語:日本語   出版者・発行元:(公社)日本小児科学会  

    J-GLOBAL

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  15. 人工知能を応用したバーチャル3D thin-section CTを用いた肺腺癌の充実成分径の計測

    岩野信吾, 神谷晋一朗, 伊藤倫太郎, 工藤彰, 北村嘉郎, 中村圭児, 長縄慎二  

    断層映像研究会雑誌(Web)49 巻 ( 2 )   2022年

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  16. 【COVID-19肺炎と肺疾患AI開発のフロントライン】COVID-19肺炎におけるAI研究の動向および問題点について

    伊藤 倫太郎, 岩野 信吾, 長縄 慎二  

    医用画像情報学会雑誌38 巻 ( 2 ) 頁: 32 - 40   2021年7月

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    記述言語:日本語   出版者・発行元:医用画像情報学会  

    COVID-19が世界中に広まり、COVID-19肺炎の診断に胸部CTや胸部単純X線の有用性が報告され、この画像所見を用いたAI開発が初期の段階から積極的に行われた。高性能なAIが多数存在するが、臨床において用いる際には注意すべき点が複数存在する。COVID-19肺炎に対して開発・使用された画像診断に関連するAI研究について、PubMedに2020年12月までに登録されたものを抽出しレビューを行った。

    DOI: 10.11318/mii.38.32

    CiNii Research

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  17. 2030年放射線科はこう変わる 2030年の放射線医

    伊藤倫太郎, 伊藤倫太郎  

    Rad Fan19 巻 ( 2 ) 頁: 52 - 53   2021年

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    記述言語:日本語   出版者・発行元:(株)メディカルアイ  

    J-GLOBAL

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  18. 医療AIの始め方

    伊藤倫太郎  

    日本医学放射線学会秋季臨床大会抄録集57th 巻   頁: S435 - S435   2021年

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    記述言語:日本語   出版者・発行元:(公社)日本医学放射線学会  

    J-GLOBAL

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  19. 人工知能による胸部単純写真からの肺野画像の生成

    伊藤倫太郎, 岩野慎吾, 長縄慎二  

    日本医学放射線学会秋季臨床大会抄録集57th 巻   頁: S433 - S433   2021年

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    記述言語:日本語   出版者・発行元:(公社)日本医学放射線学会  

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  20. コロナウイルス肺炎のAI診断

    伊藤倫太郎, 伊藤倫太郎, 岩野信吾, 長縄慎二  

    月刊臨床免疫・アレルギー科75 巻 ( 2 ) 頁: 189 - 193   2021年

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    記述言語:日本語   出版者・発行元:(有)科学評論社  

    CiNii Research

    J-GLOBAL

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  21. Water Peak MRS:組織中の溶媒の評価の試み

    田岡俊昭, 伊藤倫太郎, 阿部考志, 中道玲瑛, 中根俊樹, 川井恒, 長縄慎二  

    日本神経放射線学会プログラム・抄録集50th 巻   2021年

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  22. MY BOOK MARK~本当に使いやすい製品がこの中に~File No.8 放射線科診断専門医の私とデバイスについて

    伊藤倫太郎, 伊藤倫太郎  

    Rad Fan19 巻 ( 2 ) 頁: 74 - 77   2021年

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    記述言語:日本語   出版者・発行元:(株)メディカルアイ  

    J-GLOBAL

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  23. COVID-19 肺炎におけるAI研究の動向および問題点について

    伊藤倫太郎, 伊藤倫太郎, 岩野信吾, 岩野信吾, 長縄慎二, 長縄慎二  

    医用画像情報学会雑誌(Web)38 巻 ( 2 )   2021年

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  24. 深層学習を用いた小児頭部MRIの年齢推定

    川口 将宏, 城所 博之, 伊藤 倫太郎, 白木 杏奈, 鈴木 健史, 牧 祐輝, 田中 雅大, 坂口 陽子, 山本 啓之, 根来 民子, 渡邉 一功, 夏目 淳  

    脳と発達52 巻 ( Suppl. ) 頁: S238 - S238   2020年8月

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    記述言語:日本語   出版者・発行元:(一社)日本小児神経学会  

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  25. Multi b-value Diffusion weighted image Diphase Map(MbDDM)による脳脊髄液動態の評価

    田岡俊昭, 田岡俊昭, 伊藤倫太郎, 伊藤倫太郎, 中道玲瑛, 中根俊樹, 川井恒, 長縄慎二  

    日本神経放射線学会プログラム・抄録集49th 巻   2020年

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  26. 基礎から学ぶ肺癌診断 肺癌の3次元CT・PET/CT診断-原発巣の診断と悪性度-

    岩野信吾, 伊藤信嗣, 伊藤倫太郎, 神谷晋一朗, 加藤克彦, 長縄慎二  

    画像診断40 巻 ( 5 ) 頁: 439 - 446   2020年

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    記述言語:日本語   出版者・発行元:(株)Gakken  

    <文献概要>肺癌の臨床病期分類(TNM分類)は主に画像診断に基づいて行われる.2017年に改訂されたTNM分類では,T因子(サイズ)の診断が複雑になった.病理学的浸潤径に相当する充実成分径の計測はthinsection CTで行うのが基本であるが,3次元CTやPET/CTを利用することで精度の向上が期待できる.

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    その他リンク: https://search-tp.jamas.or.jp/index.php?module=Default&action=Link&pub_year=2020&ichushi_jid=J00235&link_issn=&doc_id=20200408090014&doc_link_id=10.15105%2FGZ.0000001656&url=https%3A%2F%2Fdoi.org%2F10.15105%2FGZ.0000001656&type=%88%E3%8F%91.jp_%83I%81%5B%83%8B%83A%83N%83Z%83X&icon=https%3A%2F%2Fjk04.jamas.or.jp%2Ficon%2F00024_2.gif

  27. TNM分類(UICC8版)に基づいた臨床病期I期肺癌の予後評価

    岩野信吾, 馬越弘泰, 神谷晋一朗, 島本宏矩, 伊藤倫太郎, 長縄慎二  

    Japanese Journal of Radiology38 巻 ( Supplement ) 頁: 22 - 22   2020年

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    記述言語:日本語   出版者・発行元:(公社)日本医学放射線学会  

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  28. FDG-PET/CTの腫瘍代謝容積に基づいた肺腺癌の臨床病期診断の試み

    岩野 信吾, 伊藤 倫太郎, 長縄 慎二  

    肺癌59 巻 ( 2 ) 頁: 189 - 189   2019年4月

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    記述言語:日本語   出版者・発行元:(NPO)日本肺癌学会  

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  29. FDG-PET/CTの腫瘍代謝容積に基づいた肺腺癌の臨床病期診断の試み

    岩野信吾, 伊藤倫太郎, 長縄慎二  

    肺癌(Web)59 巻 ( 2 )   2019年

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  30. 原発性肺癌の術前臨床病期診断の正確性

    岩野信吾, 馬越弘泰, 伊藤倫太郎, 島本宏矩, 長縄慎二  

    Japanese Journal of Radiology37 巻 ( Supplement ) 頁: 25 - 25   2019年

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    記述言語:日本語   出版者・発行元:(公社)日本医学放射線学会  

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  31. 人工知能が医療を変える!医療分野におけるAI研究開発最前線2019 II 領域別・画像診断におけるAI研究開発の最前線 2.胸部領域 胸部画像診断におけるAIと臨床研究について

    伊藤倫太郎, 岩野信吾, 長縄慎二  

    Innervision34 巻 ( 7 ) 頁: 25 - 28   2019年

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    記述言語:日本語   出版者・発行元:(株)インナービジョン  

    2006年から始まった第三次AIブームによりAIの研究が加速度的に進み、現在ではスマートフォンのカメラや音声入力など身近なものに活用されている。放射線医学においては古くから人工知能(AI)を用いた研究が行われ、臨床にも応用されていた。最近では、さらに発展したAIを用いたCADの開発が盛んであり、世界中の研究者が開発を競っている。本稿では、加速度的に進歩するAIと放射線医学とのかかわりについて、主に胸部画像診断の観点から現在の状況と問題点についてまとめ、実際の研究例について提示する。(著者抄録)

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  32. Multi-window levels and widths imaging:画像変換による新たな読影手法の検討

    伊藤倫太郎, 岩野信吾, 小田紘久, 森健策, 長縄慎二  

    日本医学放射線学会秋季臨床大会抄録集55th 巻   頁: S531 - S532   2019年

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    記述言語:日本語   出版者・発行元:(公社)日本医学放射線学会  

    J-GLOBAL

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  33. Generative Adversarial Networkを用いた肺結節の画像生成について

    伊藤倫太郎, 岩野信吾, 長縄慎二  

    日本医学放射線学会秋季臨床大会抄録集54th 巻   頁: S561 - S561   2018年

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    記述言語:日本語   出版者・発行元:(公社)日本医学放射線学会  

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  34. 非小細胞肺癌の局所浸潤性の予測に関する造影dual energy CTとFDG-PET/CTの比較

    伊藤倫太郎, 岩野信吾, 島本宏矩, 馬越弘泰, 伊藤信嗣, 長縄慎二, 加藤克彦  

    Japanese Journal of Radiology36 巻 ( Supplement ) 頁: 20 - 20   2018年

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    記述言語:日本語   出版者・発行元:(公社)日本医学放射線学会  

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  35. 胸壁並行断面CTを用いた間質性肺炎の経時的評価

    馬越弘泰, 岩野信吾, 伊藤倫太郎, 島本宏矩, 長縄慎二  

    Japanese Journal of Radiology36 巻 ( Supplement ) 頁: 19 - 19   2018年

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    記述言語:日本語   出版者・発行元:(公社)日本医学放射線学会  

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  36. PET/CTによる小型肺癌の術後予後予測 臨床病期と病理病期との比較

    岩野 信吾, 伊藤 倫太郎, 長縄 慎二, 川口 晃司, 福井 高幸, 横井 香平  

    肺癌57 巻 ( 5 ) 頁: 453 - 453   2017年9月

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    記述言語:日本語   出版者・発行元:(NPO)日本肺癌学会  

    J-GLOBAL

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  37. 脈絡膜悪性黒色腫の診断におけるIMP SPECT、FDG PET/CT、FDOPA PET/CTの比較

    加藤 克彦, 小田川 哲郎, 阿部 真治, 山口 博司, 伊藤 倫太郎, 伊藤 信嗣, 岩野 信吾, 長縄 慎二  

    核医学54 巻 ( Suppl. ) 頁: S194 - S194   2017年9月

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    記述言語:日本語   出版者・発行元:(一社)日本核医学会  

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  38. PET/CTは小型肺癌のTNM分類に基づく術後予後予測を補助する

    岩野 信吾, 馬越 弘泰, 伊藤 倫太郎, 伊藤 信嗣, 川口 晃司, 福井 高幸, 横井 香平, 加藤 克彦, 長縄 慎二  

    核医学54 巻 ( Suppl. ) 頁: S195 - S195   2017年9月

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    記述言語:日本語   出版者・発行元:(一社)日本核医学会  

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  39. FDG-PETによる非小細胞肺癌の予後予測因子の検討 SUVmaxと体積を考慮した指標の比較

    伊藤 信嗣, 岩野 信吾, 伊藤 倫太郎, 長縄 慎二, 加藤 克彦  

    核医学54 巻 ( 1 ) 頁: 565 - 565   2017年2月

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    記述言語:日本語   出版者・発行元:(一社)日本核医学会  

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  40. ドパミントランスポータシンチグラフィにおける解析ソフトの有用性に関する研究

    松澤 伸一郎, 加藤 克彦, 国本 啓太, 本田 将之, 椋本 竜斗, 小田川 哲郎, 阿部 真治, 藤田 尚利, 櫻木 庸博, 伊藤 信嗣, 伊藤 倫太郎, 岩野 信吾, 長縄 慎二  

    核医学54 巻 ( 1 ) 頁: 663 - 663   2017年2月

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    記述言語:日本語   出版者・発行元:(一社)日本核医学会  

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  41. Dual Energy CTによる小型肺癌の造影評価

    島本宏矩, 岩野信吾, 馬越弘泰, 伊藤倫太郎, 長縄慎二  

    Japanese Journal of Radiology35 巻 ( Supplement ) 頁: 34 - 34   2017年

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    記述言語:日本語   出版者・発行元:(公社)日本医学放射線学会  

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  42. 脈絡膜悪性黒色腫の診断におけるIMP SPECT,FDG PET/CT,FDOPA PET/CTの比較

    加藤克彦, 小田川哲郎, 阿部真治, 山口博司, 伊藤倫太郎, 伊藤信嗣, 岩野信吾, 長縄慎二  

    核医学(Web)54 巻 ( Supplement )   2017年

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  43. 胸壁並行断面CTを用いた間質性肺炎の定量的評価

    馬越弘泰, 岩野信吾, 伊藤倫太郎, 長縄慎二  

    Japanese Journal of Radiology35 巻 ( Supplement ) 頁: 34 - 34   2017年

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    記述言語:日本語   出版者・発行元:(公社)日本医学放射線学会  

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  44. PET/CTは小型肺癌のTNM分類に基づく術後予後予測を補助する

    岩野信吾, 馬越弘泰, 伊藤倫太郎, 伊藤信嗣, 川口晃司, 福井高幸, 横井香平, 加藤克彦, 長縄慎二  

    核医学(Web)54 巻 ( Supplement )   2017年

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▼全件表示

講演・口頭発表等 51

  1. CURRENT STATUS OF GLYMPHATIC IMAGING: PERSPECTIVES AS OF 2024 国際会議

    Radiological Society of North America (RSNA) 110th Scientific Assembly and Annual Meeting  2024年12月1日 

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    開催年月日: 2024年12月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Chicago   国名:アメリカ合衆国  

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  2. Challenges and Opportunities in the Application of Artificial Intelligence 招待有り 国際会議

    32nd Annual Scientific Meeting of Hong Kong College of Radiologists  2024年11月23日 

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    開催年月日: 2024年11月

    記述言語:英語   会議種別:口頭発表(招待・特別)  

    開催地:Hong Kong   国名:中華人民共和国  

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  3. Fully Automated Segmentation Using Artificial Intelligence for Post-Analysis in 4D Flow MRI of the Portal Vein 国際会議

    SMRA 36th Annual International Meeting  2024年11月12日 

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    開催年月日: 2024年11月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Santiago   国名:チリ共和国  

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  4. Water Peak MRS:脳脊髄液中の自由水からの信号の評価の試み

    田岡俊昭, 伊藤倫太郎, 中道玲瑛, 中根俊樹, 長縄慎二

    第16回日本水頭症脳脊髄液学会  2024年11月10日 

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    開催年月日: 2024年11月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:名古屋   国名:日本国  

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  5. 人工知能と放射線診断:米国での動向も踏まえて 招待有り

    伊藤倫太郎

    遠隔画像診断講演会 人工知能と最新画像診断  2024年10月26日 

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    開催年月日: 2024年10月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:名古屋   国名:日本国  

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  6. LLM による医師の仕事の効率化 招待有り

    伊藤倫太郎

    第65回日本脈管学会学術総会  2024年10月24日 

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    開催年月日: 2024年10月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:東京   国名:日本国  

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  7. Apple Vision および AI を用いた放射線科の未来について

    伊藤倫太郎

    京都大学大学院医学研究科 放射線医学講座内 勉強会  2024年9月24日 

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    開催年月日: 2024年9月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:京都   国名:日本国  

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  8. シンポジウム 5 What's New? -ISMRM2024 レポート- Recent AI research advances and issues at ISMRM 2024

    伊藤倫太郎

    第52回日本磁気共鳴医学会大会  2024年9月20日 

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    開催年月日: 2024年9月

    記述言語:日本語   会議種別:シンポジウム・ワークショップ パネル(指名)  

    開催地:千葉   国名:日本国  

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  9. AI 時代の放射線科医の歩き方

    伊藤倫太郎

    第20回 研修医・医学生のための放射線科セミナー  2024年6月15日 

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    開催年月日: 2024年6月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:ZOOM Webinar   国名:日本国  

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  10. Is edema of malignant glioma different from edema of other tumors? Analysis of time dependent diffusion image using ternary plot method 国際会議

    2024 ISMRM & ISMRT Annual Meeting & Exhibition  2024年5月4日 

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    開催年月日: 2024年5月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Singapore   国名:シンガポール共和国  

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  11. Language Models: Help or Hindrance? 招待有り 国際会議

    2024 ISMRM & ISMRT Annual Meeting & Exhibition  2024年5月4日 

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    開催年月日: 2024年5月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Singapore   国名:シンガポール共和国  

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  12. The relation between sleep indices and indices for brain interstitial fluid dynamics by MRI and the effects of orexin antagonists: a FLUID study. 国際会議

    2024 ISMRM & ISMRT Annual Meeting & Exhibition  2024年5月4日 

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    開催年月日: 2024年5月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Singapore   国名:シンガポール共和国  

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  13. 「最新 AI がもたらす医学論文執筆と査読の超進化」 将来展望 招待有り

    伊藤倫太郎

    第83回日本医学放射線学会総会  2024年4月11日 

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    開催年月日: 2024年4月

    記述言語:日本語   会議種別:シンポジウム・ワークショップ パネル(指名)  

    開催地:名古屋   国名:日本国  

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  14. 「人工知能:AI」 放射線医学における人工知能の歴史と将来 招待有り

    伊藤倫太郎

    第83回日本医学放射線学会総会  2024年4月11日 

     詳細を見る

    開催年月日: 2024年4月

    記述言語:日本語   会議種別:口頭発表(招待・特別)  

    開催地:名古屋   国名:日本国  

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  15. 放射線科医に必要な人工知能の基礎知識 招待有り

    伊藤倫太郎

    第25回放射線研究セミナー  2024年4月6日 

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    開催年月日: 2024年4月

    記述言語:日本語   会議種別:口頭発表(招待・特別)  

    開催地:名古屋   国名:日本国  

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  16. 初学者のための MR 研究の第一歩; AI 編初学者のための MR 研究の第一歩; AI 編

    伊藤倫太郎

    第51回日本磁気共鳴医学会大会  2023年9月22日 

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    開催年月日: 2023年9月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:軽井沢   国名:日本国  

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  17. AI-Enhanced MRI Imaging 招待有り 国際会議

    Korea-Japan AI Radiology Symposium  2023年9月8日 

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    開催年月日: 2023年9月

    記述言語:英語   会議種別:口頭発表(招待・特別)  

    開催地:Incheon   国名:大韓民国  

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  18. 最新の人工知能と画像診断について 招待有り

    伊藤倫太郎

    第14回お茶の水 Neuroimaging Conference - ONIC -  2023年8月8日 

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    開催年月日: 2023年8月

    記述言語:日本語   会議種別:口頭発表(招待・特別)  

    開催地:東京   国名:日本国  

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  19. 「画像 AI 論文の読み方、書き方、査読の仕方のポイント」 数ある画像 AI 論文のうちどれを読むべきか。読む際の注意点は? 招待有り

    伊藤倫太郎

    第82回日本医学放射線学会総会  2023年4月13日 

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    開催年月日: 2023年4月

    記述言語:日本語   会議種別:シンポジウム・ワークショップ パネル(指名)  

    開催地:横浜   国名:日本国  

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  20. アメリカにおける放射線科と臨床研究について 招待有り

    伊藤倫太郎

    第24回放射線研究セミナー  2023年4月8日 

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    開催年月日: 2023年4月

    記述言語:日本語   会議種別:口頭発表(招待・特別)  

    開催地:Web 開催   国名:日本国  

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  21. SMART-ALPS 法による間質液動態の高時間分解能での評価

    田岡俊昭, 伊藤倫太郎, 中道玲瑛, 中根俊樹, 酒井黛呼, 長縄慎二

    第52回日本神経放射線学会  2023年2月16日 

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    開催年月日: 2023年2月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:東京   国名:日本国  

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  22. 日常読影に役立つかもしれないちょっとした TIPS

    伊藤倫太郎

    第52回日本神経放射線学会  2023年2月16日 

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    開催年月日: 2023年2月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:東京   国名:日本国  

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  23. 米国における画像診断 AI の現状

    伊藤倫太郎

    第7回 Advanced Medical Imaging 研究会 (SAMI 2022)  2022年7月30日 

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    開催年月日: 2022年7月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:Web 開催   国名:日本国  

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  24. 放射線医学における AI の現在と今後 招待有り

    伊藤倫太郎

    北海道大学大学院医学研究院「医療 AI 特別セミナー」  2022年6月23日 

     詳細を見る

    開催年月日: 2022年6月

    記述言語:日本語   会議種別:口頭発表(招待・特別)  

    開催地:Web 開催   国名:日本国  

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  25. 人工知能と放射線科の未来~この先どうなる?~ 招待有り

    伊藤倫太郎

    第18回研修医・医学生のための放射線科セミナー  2022年6月11日 

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    開催年月日: 2022年6月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:Web 開催   国名:日本国  

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  26. 初めての人のための AI 作成講座 招待有り

    伊藤倫太郎

    Bayer Abend 2022  2022年5月26日 

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    開催年月日: 2022年5月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:Web 開催   国名:日本国  

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  27. 米国における画像 AI の現状と今後

    伊藤倫太郎

    第23回放射線研究セミナー  2022年4月2日 

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    開催年月日: 2022年4月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:Web 開催   国名:日本国  

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  28. 拡散画像による間質液動態の評価

    田岡俊昭, 伊藤倫太郎, 中道玲瑛, 中根俊樹, 市川和茂, 酒井黛呼, 長縄慎二

    第51回日本神経放射線学会  2022年2月18日 

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    開催年月日: 2022年2月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:東京   国名:日本国  

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  29. 70 代/女性 海綿静脈洞内血栓+左後交通動脈瘤+拡張した meningo-hypophyseal trunk を伴う内頚動脈海綿静脈洞瘻

    伊藤倫太郎

    第577回 NR 懇話会  2022年1月8日 

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    開催年月日: 2022年1月

    記述言語:日本語  

    開催地:名古屋   国名:日本国  

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  30. How Should Radiologists USE AI To Fight COVID-19 Pneumonia? 国際会議

    Radiological Society of North America Annual Meeting 2021  2021年11月28日 

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    開催年月日: 2021年11月 - 2021年12月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Chicago   国名:アメリカ合衆国  

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  31. How to start Medical AI 招待有り

    伊藤倫太郎

    第34回電子情報研究会・第4回日本医用画像人工知能研究会合同学術集会  2021年9月19日 

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    開催年月日: 2021年9月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:オンライン開催   国名:日本国  

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  32. 人工知能による胸部単純写真からの肺野画像の生成

    伊藤倫太郎

    第34回電子情報研究会・第4回日本医用画像人工知能研究会合同学術集会  2021年9月19日 

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    開催年月日: 2021年9月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:オンライン開催   国名:日本国  

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  33. AI 画像診断最前線 ~AI 細胞診時代を見据えて~ 招待有り

    伊藤倫太郎

    第170回 日本臨床細胞学会東海連合会例会  2021年9月2日 

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    開催年月日: 2021年9月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:Web 開催   国名:日本国  

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  34. Water Peak MRS:組織中の溶媒の評価の試み

    田岡俊昭, 伊藤倫太郎, 阿部考志, 中道玲瑛, 中根俊樹, 川井 恒, 長縄慎二

    第50回日本神経放射線学会  2021年2月11日 

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    開催年月日: 2021年2月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:大阪   国名:日本国  

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  35. Natural language process for neuroscience with AI. 国際会議

    AIMS Neuro Imaging 2020  2020年10月24日 

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    開催年月日: 2020年10月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:ZOOM Webinar  

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  36. Multi b-value Diffusion weighted image Diphase Map (MbDOM) to evaluate cerebrospinal fluid dynamics. 国際会議

    2020 International Society for Magnetic Resonance in Medicine & SMRT Virtual Conference & Exhibition  2020年8月8日 

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    開催年月日: 2020年8月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Virtual  

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  37. 分化型甲状腺癌の術後アブレーションにおける予期せぬトレーサー集積部位の検討

    岩野信吾, 伊藤信嗣, 伊藤倫太郎, 神谷晋一朗, 加藤克彦, 長縄慎二

    日本核医学会第59回学術集会  2019年11月1日 

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    開催年月日: 2019年11月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:松山   国名:日本国  

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  38. Multi-window levels and widths imaging: 画像変換による新たな読影手法の検討

    伊藤倫太郎

    第55回日本医学放射線学会秋季臨床大会  2019年10月18日 

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    開催年月日: 2019年10月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:名古屋   国名:日本国  

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  39. Multi-window levels and widths imaging for head CT 国際会議

    AIMS Neuro Imaging 2019  2019年9月28日 

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    開催年月日: 2019年9月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Tokyo   国名:日本国  

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  40. Generative Adversarial Network を用いた肺結節の画像生成について

    伊藤倫太郎

    第1回日本医用画像人工知能研究会  2018年10月6日 

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    開催年月日: 2018年10月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:福岡   国名:日本国  

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  41. 臨床医が AI を始めるにあたって 招待有り

    伊藤倫太郎

    JCR ミッドサマーセミナー2018  2018年7月21日 

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    開催年月日: 2018年7月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:神戸   国名:日本国  

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  42. 臨床医が AI を始めるにあたって 招待有り

    伊藤倫太郎

    第27回名古屋放射線夏季セミナー  2018年7月14日 

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    開催年月日: 2018年7月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:名古屋   国名:日本国  

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  43. Superficial Learning About ""Deep Learning"": What Radiologists Should Know. 国際会議

    German-Japanese Radiological Affilication 19th Workshop  2018年5月25日 

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    開催年月日: 2018年5月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Okayama   国名:日本国  

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  44. Superficial Learning about ""Deep Learning"":What Radiologists Should Know.

    伊藤倫太郎, 岩野信吾, 長縄慎二

    第77回日本医学放射線学会  2018年4月12日 

     詳細を見る

    開催年月日: 2018年4月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:横浜   国名:日本国  

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  45. すりガラス影を有する肺癌における充実成分の 3D 容積計測と予後との相関

    神谷晋一朗, 岩野信吾, 馬越弘泰, 伊藤倫太郎, 島本宏矩, 中村, 長縄慎二

    第77回日本医学放射線学会  2018年4月12日 

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    開催年月日: 2018年4月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:横浜   国名:日本国  

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  46. TNM 分類(UICC 8 版)に基づいた臨床病期Ⅰ期肺癌の予後評価

    岩野信吾, 馬越弘泰, 神谷晋一朗, 島本宏矩, 伊藤倫太郎, 長縄慎二

    日本医学放射線学会第163回中部地方会  2018年2月17日 

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    開催年月日: 2018年2月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:長久手   国名:日本国  

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  47. Deep Learning for head and neck imaging. 国際会議

    AIMS Neuro Imaging 2017  2017年10月21日 

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    開催年月日: 2017年10月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Tokyo   国名:日本国  

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  48. A comparative analysis of dual-phase dual-energy CT and FDG-PET/CT for the prediction of invasiveness of non-small cell lung cancer.

    伊藤倫太郎

    第19回放射線研究セミナー  2017年4月8日 

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    開催年月日: 2017年4月

    記述言語:日本語   会議種別:公開講演,セミナー,チュートリアル,講習,講義等  

    開催地:名古屋   国名:日本国  

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  49. A comparative analysis of dual-phase dual-energy CT and FDG-PET/CT for the prediction of histopathological. 国際会議

    European Congress of Radiology 2017  2017年3月1日 

     詳細を見る

    開催年月日: 2017年3月

    記述言語:英語   会議種別:口頭発表(一般)  

    開催地:Vienna   国名:オーストリア共和国  

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  50. 原発性肺癌の術前臨床病期診断の正確性

    岩野信吾, 馬越弘泰, 伊藤倫太郎, 島本宏矩, 長縄慎二

    第46回日本神経放射線学会  2017年2月17日 

     詳細を見る

    開催年月日: 2017年2月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:東京   国名:日本国  

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  51. 胸壁並行断面 CT による間質性肺炎の経時的評価

    馬越弘泰, 岩野信吾, 伊藤倫太郎, 島本宏矩, 長縄慎二

    第9回呼吸機能イメージング研究会学術集会  2017年1月27日 

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    開催年月日: 2017年1月

    記述言語:日本語   会議種別:口頭発表(一般)  

    開催地:京都   国名:日本国  

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▼全件表示

科研費 9

  1. MRIでの大脳白質病変の分類と評価:Interstitial fluidopathyとしての白質病変の理解

    研究課題/研究課題番号:24K10855  2024年4月 - 2027年3月

    日本学術振興会  科学研究費助成事業  基盤研究(C)

    田岡 俊昭, 中道 玲瑛, 長縄 慎二, 中根 俊樹, 伊藤 倫太郎

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    担当区分:研究分担者 

    大脳白質病変について、虚血性血管障害の観点だけでなく、脳脊髄液・脳間質液および髄質血管などの脳実質のインフラストラクチャーの構造や機能に基づいて分類し、各分類の主たる背景要因を評価することで、大脳白質病変の新たな評価法を提案することを目的として、名古屋大学脳とこころの研究センターの大規模コホートの画像から、人工知能での解析を併用した新たな分類を行い、背景要因と共に検討する。

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  2. 非造影MRIによる組織学的構築に基づいた背景乳腺の新分類と高解像度撮像法の開発

    研究課題/研究課題番号:24K10883  2024年4月 - 2027年3月

    日本学術振興会  科学研究費助成事業  基盤研究(C)

    佐竹 弘子, 石垣 聡子, 島田 聡子, 伊藤 倫太郎

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    担当区分:研究分担者 

    本研究の目的は、乳房MRIの非造影シークエンスであるT2強調像の高解像度撮像法を新たに開発し、これを用いて背景乳腺の組織学的構築を視覚化および定量化し、乳がんの発症や生物学的特性との関連を検証することである。高解像度撮像法は、拡散強調像にも適用し、機能的情報を融合させることで、乳房MRIの診断能の向上を目指す。本研究により、高解像度非造影MRIによって、乳腺組織の微細構造や微小環境をイメージングできれば、造影剤を用いない非造影乳房検査の実用可能性を高めることができる。また、乳がんのリスク評価に新たな情報をもたらし、乳がん診断および治療の向上に貢献することが見込まれる。

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  3. 人工知能を用いた放射線画像の撮像の個別化に関する検討

    研究課題/研究課題番号:24K18793  2024年4月 - 2027年3月

    日本学術振興会  科学研究費助成事業  若手研究

    伊藤 倫太郎

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    担当区分:研究代表者 

    配分額:4290000円 ( 直接経費:3300000円 、 間接経費:990000円 )

    個々の患者の症例に対して最適な検査を選択し、適切な画像を撮影することが理想である。臨床現場ではあまりに多くの検査を限られた時間で実施しているため、個別の症例に関して適切な画像を選択する時間には乏しいのが実状である。ある程度の公約数的な画像プロトコルに基づいた画像検査を行うのが現状である。Chat-GPTを始めとする最先端の自然言語モデルは一般情報における自然な応答が可能となっている。本研究では診療ガイドラインや患者の病歴と検査目的、病院の機器や検査時間を入力とし、適切な画像検査のモダリティ、プロトコル、シーケンスを推奨するモデルの開発・実装を目的とする。

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  4. 脳と感覚器の血管透過性と老廃物排泄機能評価から切り拓く未病状態早期検出

    研究課題/研究課題番号:23H02854  2023年4月 - 2026年3月

    日本学術振興会  科学研究費助成事業  基盤研究(B)

    長縄 慎二, 曽根 三千彦, 田岡 俊昭, 西口 康二, 伊藤 倫太郎

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    担当区分:研究分担者 

    脳や感覚器の各種変性疾患の発症前段階やうつ病、COVID-19後遺症など従来の画像で明らかな異常が描出されない状態での早期介入機会創出のため、脳や感覚器の血管透過性と老廃物排泄機能に着目した。脳、眼球や内耳についてこれらの時空間的情報を一度に非侵襲的にヒトで取得できる独自開発した各種先端MRI技術を用いて、健常加齢性変化の正常範囲の確立と各疾患の未病状態検出のための基盤を構築する。

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  5. 脳と感覚器の血管透過性と老廃物排泄機能評価から切り拓く未病状態早期検出

    研究課題/研究課題番号:23K27545  2023年4月 - 2026年3月

    日本学術振興会  科学研究費助成事業  基盤研究(B)

    長縄 慎二, 曽根 三千彦, 田岡 俊昭, 西口 康二, 伊藤 倫太郎

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    担当区分:研究分担者 

    脳や感覚器の各種変性疾患の発症前段階やうつ病、COVID-19後遺症など従来の画像で明らかな異常が描出されない状態での早期介入機会創出の
    ため、脳や感覚器の血管透過性と老廃物排泄機能に着目した。脳、眼球や内耳についてこれらの時空間的情報を一度に非侵襲的にヒトで取得で
    きる独自開発した各種先端MRI技術を用いて、健常加齢性変化の正常範囲の確立と各疾患の未病状態検出のための基盤を構築する。
    脳や感覚器の各種変性疾患の発症前段階における早期介入機会創出のため、老廃物排泄機構(waste clearance system)の機能低下とBlood Brain Barrier, Blood Retinal Barrier, Blood Labyrinthine Barrierの透過性の亢進の両者に注目した新しい視点から研究を展開するという当初の目的に従い研究を進めている。
    昨年度(2023年度)は、海外のグループ(ドイツ、アメリカ、インド、ベルギー、スエーデンなど)との密なコミュニケーションによって現時点での研究到達状況を調査して、複数の国際共著を含めた総説出版をまず行った(JMRI 2023; Invest radiol 2023; J Vestib Res 2023)。また一部の海外のグループの手法の問題点も指摘して、科学を正常な方向へ戻す努力も行った。この内容はNat comm 2023に出版した。さらに並行して進めていた高感度パスルシークエンスの最適化には目途がついた。睡眠障害患者の介入前後のデータ解析と論文作成、髄膜リンパ管のS状静脈洞周囲や頭蓋骨骨髄における分布や発達程度のデータ解析と論文作成、内耳内リンパ、外リンパへの造影剤微量分布の解析とその論文執筆等を進めている。S状静脈洞周囲の髄膜リンパ管の発達と頭蓋内のクリアランス機能との関連については、世界初の画期的な結果である。さらに内リンパにおける造影剤の分布の検出と解析も世界初である。加えて、動物眼球における薬剤分布の解析方法の確立と、ヒトへの応用も進めつつある。非造影での脳における間質液動態解析手法のさらなる洗練も進めている。非造影法では、DTI-ALPS indexの他、新たな方法の提案も検討している。非造影、造影の両手法を用いた海外との共同での軽微頭部外傷患者コホートでの間質液動態の解析も継続する。
    国際的な研究進捗状況の把握ができたので、我々の研究が、いくつかの領域で世界の最先端であることを確認することができた。この過程で、英文総説3篇を出版した。Investigative radiologyやJ of Mag reso imagingといった放射線領域におけるハイレベルの雑誌も含まれている。
    S状静脈洞周囲の髄膜リンパ管の描出や基底核の血管周囲腔への造影剤の移行が、静脈内投与後24時間での脳脊髄液からの造影剤排出(老廃物排泄機構)と関連があることを示せたのは意義が大きい。内リンパにおける造影剤の動態解析について世界で初めて扉を開いたのも、大きな成果である。これらは今後の論文化予定となるが、ほかにも関連原著論文としては、5篇を出版した。海外グループの非造影での髄膜リンパ管描出についの研究手法の問題点を発見したので、短い報告ではあるが、Nat communicationsにも論文が出版された。S状静脈洞周囲の髄膜リンパ管と脳脊髄液排泄機能との関連、睡眠障害およびその治療と老廃物排泄機構機能変化の関連や、内耳内リンパの透過性と年齢や内リンパ水腫との関連など、今後、論文報告を続けるべき結果も多く得られた。患者における眼球の撮像も症例が蓄積しつつある。さらに動物眼球での実験も複数回行っている。よって脳においても、眼球においても、内耳においても、本研究課題は順調に進展していると言って良い。
    昨年度(2023年度)までで、学術調査と国際共著の総説出版、パスルシークエンスの最適化はある程度、目途がついた。今後は、睡眠障害患者の介入前後のデータの詳細な解析と論文作成、髄膜リンパ管の静脈洞周囲や頭蓋骨骨髄における分布や発達程度のデータ解析と論文作成、頭頂部嚢胞と認知機能に関係の解析、内耳における内リンパ、外リンパへの造影剤微量分布の解析とその結果についての論文執筆、動物眼球における点眼薬や各種トレーサーの薬剤分布の経時的変化の解析方法の確立と、ヒトへの応用準備、非造影法と造影法での脳実質における間質液動態解析手法のさらなる洗練を進める予定である。
    また海外の研究者との共同での動物における新規トレーサーの脳やくも膜下腔での分布動態の解析 海外における軽微な頭部外傷患者コホートを用いた間質液動態の解析も継続する。
    2024年6月にはスエーデンのルンド大学でのGlymphatic symposiumにおいて、8月にはやはりスエーデンのウプサラ大学でのBarany society meetingで招待講演をすることとなっている。Glymphatic symposiumはGlymphatic systemを活発に研究している世界中の研究者が一同に集まる機会である。Barany society meetingはメニエール病関係の研究者にとって最高権威の学会である。これらの機会を通じて様々な情報発信、情報収集を行って、さらに効率的に画期的な研究を展開する。

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  6. 人工知能を用いたバーチャル高分解能CTによる肺癌の過去・未来画像シミュレーション

    研究課題/研究課題番号:22K07692  2022年4月 - 2026年3月

    日本学術振興会  科学研究費助成事業  基盤研究(C)

    岩野 信吾, 伊藤 倫太郎, 神谷 晋一朗

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    担当区分:研究分担者 

    名古屋大学医学部附属病院の画像サーバーには20年以上にわたる肺癌のCT画像の膨大なビッグデータが蓄積されている。本研究では肺癌の3次元CT(3D-CT)の経時変化、すなわち4次元画像を学習させることで、肺癌の任意の時点の過去・未来画像をシミュレーションして生成する人工知能(AI)を開発する。既存の低画質なCT画像から高精細3D-CT画像を再構築するAI(バーチャル高分解能CT)を開発ずみであり、それを利用して網羅的に4次元の学習データを収集する。個々の肺癌の過去・未来を予測した画像を生成することで超早期から進行癌に至る肺癌の形態変化や進行速度を明らかにし、個別化医療に貢献する。
    本研究においては、肺癌の経過観察症例の3次元CT画像のビッグデータを学習させた人工知能(AI)によって超早期肺癌から進行肺癌に至るまでの形態変化に時間を加味した4次元解析を行えるモデルを構築することであり、4年間の研究期間を設定している。
    2年目にあたる2023年度は先行研究として開発済みのvirtual HRCTに関する英文の原著論文が2023年12月にScientific Reports誌に掲載された。
    またこのvirtual HRCTのさらなる高解像度化を行った。名古屋大学医学部附属病院には2019年よりスライス厚0.25mm、最大2048マトリックスで撮影できる臨床用の超高精細CTが導入されており、原発性肺癌の超高精細CTを収集した。この超高精細CT画像データをAIに学習させることによってvirtual HRCTのさらなる性能向上が期待でき、よりリアルな高精細画像を生成することが可能になると考えられる。これに関連して原発性肺癌の超高精細CTによる深達度の研究を開始した。胸壁浸潤が疑われた原発性肺癌77症例について、その超高精細CT画像を視覚的に評価し、胸壁浸潤の診断に有用な所見を見いだし、2023年4月の日本医学放射線学会で発表し、現在、原著論文を英文誌に投稿中である。
    さらに2006年~2021年に名古屋大学医学部附属病院で撮影された肺結節のCT画像のうち、経時的に2回以上撮影されている画像をPACSサーバー付属の検索機能を使って後向きに収集した。収集された画像のうち、5mm厚の画像はvirtual HRCTを用いて高解像度3D画像に変換し、学習データとして使用予定である。
    本研究では1000例規模の原発性肺癌の高精細3次元CT画像データベースを作成する予定であり、過去の5mm厚画像から高精細CT画像を生成するAIの開発は終了しており、本研究の原著論文がScientific Reports誌に掲載され、AIソフトウェアの社会実装も完了している。本年度中に新しいソフトウェアが名古屋大学医学部附属病院のPACSに導入される見込みであり、研究速度の向上が期待できる。
    また超高精細CT画像により肺癌の深達度を正確に診断できることを証明し、本研究成果は原著論文として投稿中である。
    2024年度中に名古屋大学医学部附属病院のPACSに導入される予定の高精細CT画像生成AIを用いて2006年から2021年に撮影された肺癌のCT画像の高精細CT画像変換を促進する。それから得られた肺結節の経時的な高精細CT画像のセットをDeep Learningによって学習させ、virtual過去・未来画像AIの完成を目指す。
    さらに2024年度中に名古屋大学医学部附属病院にフォトンカウンティングCTが設置される予定であり、高精細なdual-energy CTが撮影できるようになるため、肺結節のdual-energy CT画像についても本研究に取り入れていく予定である。

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  7. 人工知能を用いた画像診断報告書の自然言語処理解析に関する検討

    研究課題/研究課題番号:21K15843  2021年4月 - 2025年3月

    日本学術振興会  科学研究費助成事業  若手研究

    伊藤 倫太郎

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    担当区分:研究代表者 

    配分額:4160000円 ( 直接経費:3200000円 、 間接経費:960000円 )

    画像診断を行う放射線科読影医にとってCTやMRIなどの画像の読影を行い、診療を行う医者に必要な情報を提供することが主要な仕事の一つです。多種多様な画像、経時的な画像変化、臨床情報を含めた文書情報を把握した上で、報告書を作成する必要があります。日常的に大量の画像診断報告書を記載する必要があり、1件あたりに時間をかけて読影を行うことは難しいのが現状です。本研究では2018 年末にGoogle 社の発表したBERTを始めとする最先端の自然言語処理技術を画像診断に適応するものです。AIを使用した自然言語処理を用いて画像診断報告書の解析を行い、業務の補助となる最適な情報の提供について検討します。
    放射線科読影医にとって医用画像の読影を行い、臨床医に最適な情報を提供する画像診断報告書を作成することが主要な職務の一つである。その際には多種多様な画像、経時的な画像変化、臨床情報を含めた文書情報を把握した上で、報告書を記載する必要がある。しかし、放射線科読影医は日常的に大量の画像診断報告書を記載する必要があり、1件あたりに時間をかけて読影を行うことは難しいのが現状である。本研究では2018 年末にGoogle 社の発表したBERT (BidirectionalEncoderRepresentations from Transformers) を始めとする最先端の自然言語処理技術を画像診断学に適応するものである。AIを使用した自然言語処理を用いて放射線画像診断報告書の解析を行い、診断の補助となる最適な情報を提供することを目的とする。
    2022年度にChat-GPTが出現し、自然言語処理における大幅な精度向上があり、医療分野への応用が多数研究されている。これを用いて研究方法の修正を行った。
    2023年度には既存のデータべースからの情報の追加抽出、自然言語モデルを使用して、所見からImpressionの表現、所見から体系的な所見の抽出、Impressionや所見から病勢評価の評価を継続して行っている。Impressionの抽出制度について学会で報告を行った。
    また、自然言語処理技術を含めた人工知能技術について情報収集を行い、解析を行った。これらの解析を通して得られた知見を通して、招待講演を7つ、寄稿を2つ行った。これらを通して医学分野におけるAIの技術的、知識的な普及に広く貢献した。
    多数の自然言語モデルを対象に比較実験を行ったところ、分野における精度のばらつきが存在することが判明した。このため、自然言語処理モデルの得意・不得意分野の解析を行うために、データベースの修正を行う必要があり、時間を要した。
    自然言語処理モデルを用いたベンチマークデータベースを作成し、自然言語処理モデルの比較を行う。その後、本研究データベースを用いた解析方法に修正を加え、最終的な総括を行う予定である。

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  8. MRIによる脳内リンパ系の評価法の開発:睡眠との関連による評価

    研究課題/研究課題番号:21K07563  2021年4月 - 2024年3月

    日本学術振興会  科学研究費助成事業  基盤研究(C)

    田岡 俊昭, 宮田 聖子, 川井 恒, 岩本 邦弘, 野田 明子, 伊藤 倫太郎

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    担当区分:研究分担者 

    脳内リンパ系の活動性は、覚醒時と比較して睡眠時に大幅な効率の増大を示す事が示されている。本研究では、ヒトを対象として、睡眠に関連した脳内リンパ系の動態を、新たな手法を用いて非侵襲~無侵襲的に評価することを目的とする。研究に用いる主な手法はDiffusion Tensor Image analysis Along the Perivascular Space (DTI-ALPS)法である。この手法は、放線冠部分では、血管周囲腔の走行方向と投射繊維、連合線維の走行方向が互いに直交する事を利用して、拡散テンソル法で得られた3次元拡散データから、血管周囲腔の方向の拡散成分の比を算出する方法である。
    睡眠関連の脳間質液動態を画像で評価し、ALPS-indexの分析で持続睡眠への遅延と負の相関、総睡眠時間および睡眠効率と正の相関が見られた。多回帰分析では、入眠遅延を除く睡眠パラメータが悪い場合にALPS-indexが低下することが示され、線形混合モデル分析は基準時の睡眠状態が後のALPS-indexに影響を与える可能性を示唆した。また、Ktrans測定では入眠遅延との間に有意な相関があり、脈絡叢の容積と総睡眠時間は有意な負の相関を示した。睡眠状態の悪化がALPS-indexの大きな変化と関連していることが明らかになった。
    Glymphaticシステムは、脳内の老廃物を排出する重要な機序であり、血管周囲腔を中心に脳脊髄液や脳間質液が流れることで機能する。このシステムは特に睡眠中に排泄効率が向上する。本研究ではその非侵襲的な評価の方法として、拡散画像を用いたdiffusion tensor image analysis along the perivascular space(DTI-ALPS)などでの評価を行った。これらの手法を活用することにより、睡眠とGlymphaticシステムの関係を明らかにし、睡眠の質の低下が認知機能に与える影響の評価や予防、改善策の開発が期待されている。

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  9. 超高精細形態画像と機能画像の統合解析による早期肺癌の次世代予後予測モデルの確立

    研究課題/研究課題番号:19K08149  2019年4月 - 2024年3月

    日本学術振興会  科学研究費助成事業  基盤研究(C)

    岩野 信吾, 中村 彰太, 伊藤 信嗣, 伊藤 倫太郎

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    担当区分:研究分担者 

    原発性肺癌の臨床病期分類は胸部CTに様々な画像検査を組み合わせて決定され、最適な治療方針を決定する基盤情報である。しかし限られた空間分解能による形態診断の限界により病理病期分類との間に差を生じることがある。本研究では肺癌症例の膨大な画像・手術・病理データを活用し、浸潤性・予後に関連する超高精細CT、MRI、PETによる新たなバイオマーカー構築を探索し、これらを統合的に解析することで早期肺癌の予後予測の精度向上、次世代の肺癌病期分類改訂に貢献する。
    本研究では、高精細CTとFDG-PET/CTの3次元画像解析・AIによって原発性肺癌の浸潤性・予後を統合的に予測できるバイオマーカーを探索した。コロナ禍の影響で研究期間が5年間に延長したが、以下の4つの知見について学会発表・学術論文として公表した。
    1)造影dual-energy CTによる3次元ヨード密度計測によって肺癌の予後予測が可能である。2)PET/CTの定量データによって非小細胞肺癌の縦隔リンパ節転移診断が可能となる。3)超高精細CT所見に基づいて原発性肺癌の胸壁浸潤を診断できる。4)肺癌の5mm厚のCT画像からバーチャル高精細CT画像を生成する人工知能を開発した。
    この研究成果は、原発性肺癌の診断と予後予測を飛躍的に向上させる新しい方法を提供しました。高精細CTとFDG-PET/CTを活用し、AIを用いて得られたデータから、より正確な診断と予後予測が可能となりました。特に、造影dual-energy CTや超高精細CTによる新たな診断法や、AIによる画像生成技術の開発は、医療現場での迅速かつ的確な治療方針の決定に寄与し、患者の生存率向上と医療費の削減に大きく貢献します。

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