Faculty Profiles - IWANO, Shingo

Papers - IWANO, Shingo

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Increased sputum peripheral helper T cells are associated with the severity of rheumatoid arthritis but not with the severity of airway disease Open Access

Yokoi, E; Wakahara, K; Nakamura, S; Fukutani, E; Asai, S; Takahashi, N; Kojima, T; Iwano, S; Shimada, S; Chen-Yoshikawa, TF; Hashimoto, N; Ishii, M

FRONTIERS IN IMMUNOLOGY Vol. 16 page： 1526881 2025.2

Blood eosinophil count correlates with alveolar damage in emphysema-predominant COPD

Nakamura, S; Wakahara, K; Majima, S; Yokoi, E; Fukutani, E; Otsuki, R; Iwano, S; Chen-Yoshikawa, TF; Kinoshita, F; Abe, T; Sashio, T; Kimura, T; Izuhara, K; Hashimoto, N; Ishii, M; Hasegawa, Y

BMC PULMONARY MEDICINE Vol. 24 ( 1 ) page： 510 2024.10

Diagnostic Value and Safety of Addition of Transbronchial Needle Aspiration to Transbronchial Biopsy Through Endobronchial Ultrasonography Using a Guide Sheath Under Virtual Bronchoscopic Navigation for the Diagnosis of Peripheral Pulmonary Lesions

Ito, T; Nishida, K; Iwano, S; Okachi, S; Nakamura, S; Morise, M; Toyofumi, CYF; Ishii, M

JOURNAL OF BRONCHOLOGY & INTERVENTIONAL PULMONOLOGY Vol. 31 ( 4 ) 2024.10

Development of automatic generation system for lung nodule finding descriptions

Momoki, Y; Ichinose, A; Nakamura, K; Iwano, S; Kamiya, S; Yamada, K; Naganawa, S

PLOS ONE Vol. 19 ( 3 ) page： e0300325 2024.3

Airway involvement in inflammatory bowel disease: Inflammatory bowel disease patients have bronchial wall thickening Reviewed

Majima S, Wakahara K, Iwano S, Kinoshita F, Nakamura M, Hashimoto N, Fujishiro M, Hasegawa Y

RESPIRATORY INVESTIGATION Vol. 60 ( 5 ) page： 713 - 719 2022.9

Computer-Aided Volumetry by Multidetector Computed Tomography is Efficient for Prognostic Prediction of Early-Stage Solid Lung Cancers

Kato, T; Iwano, S; Katsuya, R; Okado, S; Ito, T; Sato, K; Nakanishi, K; Kadomatsu, Y; Ueno, H; Ozeki, N; Nakamura, S; Fukumoto, K; Chen-Yoshikawa, TF

JOURNAL OF THORACIC ONCOLOGY Vol. 17 ( 9 ) page： S206 - S207 2022.9

Right ventricular pressure overload related to residual thrombotic burden in patients 1 year after acute pulmonary embolism: From the Nagoya PE study

Nakano, Y; Adachi, S; Nishiyama, I; Yasuda, K; Yoshida, M; Iwano, S; Kondo, T; Murohara, T

THROMBOSIS RESEARCH Vol. 216 page： 113 - 119 2022.8

Usefulness of a refined computed tomography imaging method to assess the prevalence of residual pulmonary thrombi in patients 1 year after acute pulmonary embolism: The Nagoya PE study Reviewed

Nakano Y, Adachi S, Nishiyama I, Yasuda K, Imai R, Yoshida M, Iwano S, Kondo T, Murohara T

JOURNAL OF THROMBOSIS AND HAEMOSTASIS Vol. 20 ( 4 ) page： 888 - 898 2022.4

End-Systolic Eccentricity Index Obtained by Enhanced Computed Tomography Is a Predictor of Pulmonary Vascular Resistance in Patients with Chronic Thromboembolic Pulmonary Hypertension Invited Reviewed

Tsutsumi Y, Adachi S, Nakano Y, Iwano S, Abe S, Kato K, Naganawa S

LIFE Vol. 12 ( 4 ) page： 593 2022.4

An Empirical Study on the Use of Visual Explanation in Kidney Cancer Detection

Takahashi, M; Kameya, Y; Yamada, K; Hotta, K; Takahashi, T; Sassa, N; Iwano, S; Yamamoto, T

TWELFTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2020) Vol. 11519 2020

Does I-131 uptake in the subhyoid portion or lymph nodes affect the outcome of low-dose ablation therapy for patients with differentiated thyroid cancer?

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

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING Vol. 46 ( SUPPL 1 ) page： S662 - S663 2019.10

Impact of Combined Evaluation Using Tumor Volume and Metastatic Nodal Extent in Stage III NSCLC Treated with CRT

Tamiya, Y; Morise, M; Matsuzawa, R; Tanaka, I; Okada, T; Iwano, S; Hase, T; Hashimoto, N; Sato, M; Itoh, Y; Hasegawa, Y

JOURNAL OF THORACIC ONCOLOGY Vol. 14 ( 10 ) page： S909 - S910 2019.10

Postoperative recurrence of clinical early-stage non-small cell lung cancers: a comparison between solid and subsolid nodules

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

CANCER IMAGING Vol. 19 ( 1 ) page： 33 2019.6

Evaluation of intra-tumoral blood feeding to predict the effect of induction therapy in patients with locally advanced lung cancer

Kawaguchi, K; Fukui, T; Goto, M; Nakamura, S; Hakiri, S; Ozeki, N; Kato, T; Mori, S; Hashimoto, K; Iwano, S; Yokoi, K

NAGOYA JOURNAL OF MEDICAL SCIENCE Vol. 81 ( 2 ) page： 291 - 301 2019.5

Prediction of recurrence using volume-based metabolic index obtained by preoperative FDG-PET for non-small-cell lung cancer

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

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING Vol. 45 page： S506 - S506 2018.10

Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images

Oda Hirohisa, Roth Holger R., Bhatia Kanwal K., Oda Masahiro, Kitasaka Takayuki, Iwano Shingo, Homma Hirotoshi, Takabatake Hirotsugu, Mori Masaki, Natori Hiroshi, Schnabel Julia A., Mori Kensaku

MEDICAL IMAGING 2018: COMPUTER-AIDED DIAGNOSIS Vol. 10575 2018

Risk Factor Evaluation of Programmed Death 1 Inhibitor Related Pneumonitis in Patients with Non-Small Cell Lung Cancer

Fukihara, J; Sakamoto, K; Iwano, S; Morise, M; Hashimoto, N; Hasegawa, Y

AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE Vol. 197 2018

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

Fuga Uota, Shingo Iwano, Shinichiro Kamiya, Rintaro Ito, Shota Nakamura, Toyofumi Fengshi Chen-Yoshikawa, Shinji Naganawa

European radiology 2025.1

Language：English Publishing type：Research paper (scientific journal)

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

Open Access

Web of Science

PubMed

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

Shingo Iwano, Shinichiro Kamiya, Rintaro Ito, Akira Kudo, Yoshiro Kitamura, Keigo Nakamura, Shinji Naganawa

Scientific reports Vol. 13 ( 1 ) page： 21709 - 21709 2023.12

Language：English Publishing type：Research paper (scientific journal)

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

Open Access

Web of Science

PubMed

Prognostic impact of highly solid component in early-stage solid lung adenocarcinoma. Reviewed International journal

Taketo Kato, Shingo Iwano, Yuki Hanamatsu, Masato Nakaguro, Ryo Emoto, Shoji Okado, Keiyu Sato, Osamu Noritake, Keita Nakanishi, Yuka Kadomatsu, Harushi Ueno, Naoki Ozeki, Shota Nakamura, Koichi Fukumoto, Tamotsu Takeuchi, Kennosuke Karube, Shigeyuki Matsui, Toyofumi Fengshi Chen-Yoshikawa

Quantitative imaging in medicine and surgery Vol. 13 ( 9 ) page： 5641 - + 2023.9

Language：English Publishing type：Research paper (scientific journal)

BACKGROUND: Based on computed tomography (CT) findings of lung cancer, solid nodules have a much worse prognosis than subsolid nodules, even if the nodules are subcentimeter in size. There is, however, no systematic method for determining the prognosis of solid tumors on CT. This study aimed to discover the prognostic factor of early-stage solid lung adenocarcinoma using three-dimensional CT volumetry. METHODS: Patients with pathological stage I solid lung adenocarcinoma who underwent complete resection between 2007 and 2012 were selected in this retrospective study. Clinicopathological data and preoperative multidetector CT findings, such as tumor size on the two-dimensional axial image, three-dimensional tumor volume between -600 and 199 HU, and three-dimensional solid volume between 0 and 199 HU, which corresponded to highly solid components, were compared between recurrence and non-recurrence. Furthermore, these radiological values were compared to pathological invasive volume (PIV). RESULTS: During this time, 709 patients had their lung cancer completely removed. From this cohort, 90 patients with pathological stage I solid lung adenocarcinoma were selected. In addition, recurrence was found in 26 patients (28.9%). Although two-dimensional axial image, serum carcinoembryonic antigen (CEA) level, and SUVmax on 18F fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) did not differ statistically between recurrent and non-recurrent patients, three-dimensional tumor and solid tumor volume did. Multivariate analysis indicated that three-dimensional solid tumor volume [hazard ratio: 2.440; 95% confidence interval (CI): 1.110-5.361, P=0.026] and epidermal growth factor receptor (EGFR) mutation (hazard ratio: 4.307; 95% CI: 1.328-13.977, P=0.015) were significantly associated with disease-free survival (DFS). When three-dimensional tumor and solid tumor volume were compared to PIV, three-dimensional solid tumor volume (3,091 mm3 on average) showed a highly similar value with PIV (2,930 mm3 on average), whereas three-dimensional tumor volume (6,175 mm3 on average) was significantly larger than PIV (P<0.001). CONCLUSIONS: In patients with early-stage solid lung adenocarcinoma, the measurement of three-dimensional solid tumor volume, which is correlated with PIV, accurately predicted the postoperative outcome.

DOI： 10.21037/qims-23-36

Web of Science

PubMed

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Papers - IWANO, Shingo