Updated on 2022/04/26

写真a

 
EMOTO Ryo
 
Organization
Graduate School of Medicine Program in Integrated Medicine Clinical Pharmacology Designated assistant professor
Title
Designated assistant professor

Degree 1

  1. 博士(医学) ( 2021.3   名古屋大学 ) 

Research Areas 1

  1. Informatics / Statistical science  / 生物統計

Research History 1

  1. Nagoya University   Graduate School of Medicine Program in Integrated Medicine Clinical Pharmacology   Designated assistant professor

    2020.4

Education 1

  1. Nagoya University

    2016.4 - 2020.3

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    Country: Japan

Professional Memberships 2

  1. 日本計量生物学会

    2014

  2. 日本統計学会

    2014

 

Papers 12

  1. Machine learning prediction models for postpartum depression: A multicenter study in Japan.

    Matsuo S, Ushida T, Emoto R, Moriyama Y, Iitani Y, Nakamura N, Imai K, Nakano-Kobayashi T, Yoshida S, Yamashita M, Matsui S, Kajiyama H, Kotani T

    The journal of obstetrics and gynaecology research     2022.4

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    Language:English  

    DOI: 10.1111/jog.15266

    PubMed

  2. Clinical paper The rCAST score is useful for estimating the neurological prognosis in pediatric patients with post-cardiac arrest syndrome before ICU admission: External validation study using a nationwide prospective registry

    Yasuda Yuma, Nishikimi Mitsuaki, Matsui Kota, Numaguchi Atsushi, Nishida Kazuki, Emoto Ryo, Matsui Shigeyuki, Matsuda Naoyuki

    RESUSCITATION   Vol. 168   page: 103 - 109   2021.11

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    Language:Japanese   Publisher:Resuscitation  

    Introduction: The objective of this cohort study was to investigate whether the revised post-Cardiac Arrest Syndrome for Therapeutic hypothermia score (rCAST), which we previously developed as a prognostic score for adult patients with post-cardiac arrest syndrome (PCAS), is also applicable to pediatric patients. Methods: Pediatric PCAS patients were included from an out-of-hospital cardiac arrest (OHCA) registry of the Japanese Association for Acute Medicine (JAAM). We validated the predictive accuracy of the rCAST for the neurological outcomes at 30 and 90 days. We also evaluated the probability of a good neurological outcome in each of the three specified severity categories based on the rCAST (low severity: ≤5.5; moderate severity: 6.0–14.0; high severity: ≥14.5). Results: Among the 737 pediatric patients with OHCA, the data of 179 pediatric PCAS patients in whom return of spontaneous circulation was achieved were analyzed. The areas under the curve (AUC) of the rCAST for predicting the neurological outcomes at 30 days and 90 days were 0.95 (95% CI: 0.90–0.99) and 0.96 (0.91–1.00), respectively. The proportions of patients with a good neurological outcome at 30 days were 100% (12/12) in the low severity group, 36.1% (13/36) in the moderate severity group, and 2.3% (3/131) in the high severity group. Conclusions: The AUC of the rCAST for pediatric PCAS patients was found to be greater than 0.9 in the external validation, which corresponds to excellent predictive accuracy. There was no patient with good neurological outcome among the patients with more than 17.0 points (extremely high severity group).

    DOI: 10.1016/j.resuscitation.2021.09.025

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  3. Postoperative stroke and neurological outcomes in the early phase after revascularization surgeries for moyamoya disease: an age-stratified comparative analysis

    Araki Yoshio, Yokoyama Kinya, Uda Kenji, Kanamori Fumiaki, Kurimoto Michihiro, Shiba Yoshiki, Mamiya Takashi, Nishihori Masahiro, Izumi Takashi, Sumitomo Masaki, Okamoto Sho, Matsui Kota, Emoto Ryo, Wakabayashi Toshihiko, Matsui Shigeyuki, Natsume Atsushi

    NEUROSURGICAL REVIEW   Vol. 44 ( 5 ) page: 2785 - 2795   2021.10

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    Language:Japanese   Publisher:Neurosurgical Review  

    Stroke and neurological outcomes in the early phase following revascularization for moyamoya disease (MMD) may depend on the patient’s age. In this study, an age-stratified comparative analysis was performed to clarify this issue. We reviewed 105 MMD patients who underwent 179 revascularization surgeries. The demographic characteristics were collected in four age groups (≤ 5 and 6–17 years for pediatric patients and 18–49 and ≥ 50 years for adults). Additionally, we assessed the incidence of subsequent stroke and deterioration of modified Rankin Scale (mRS) score. Then, we evaluated predictors of postoperative stroke and mRS deterioration using logistic regression. The mean patient age was 26.2 ± 18.5 years. No significant difference in the incidence of postoperative stroke was observed between age groups; however, the incidence tended to be increased among patients aged ≤ 5 years (17.9%) and patients aged ≥ 50 years (16.7%). Deterioration of mRS scores was significantly associated with ages ≤ 5 years (17.9%) and ≥ 50 years (11.1%). Logistic regression showed that posterior cerebral artery involvement (odds ratio [OR], 4.6) and postoperative transient neurological events (TNEs) (OR, 5.93) were risk factors for postoperative stroke. Age ≤ 5 years (OR, 9.73), postoperative TNEs (OR, 7.38), and postoperative stroke (OR, 49) were identified as predictors of unfavorable neurological outcomes. The novel feature of this comparative analysis by age group is that membership in the early-childhood MMD patient group (under 5 years old) was an independent risk factor for unfavorable short-term neurological outcomes and was mainly associated with the incidence of postoperative severe cerebral infarction.

    DOI: 10.1007/s10143-020-01459-0

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  4. Outcome Related to Level of Targeted Temperature Management in Postcardiac Arrest Syndrome of Low, Moderate, and High Severities: A Nationwide Multicenter Prospective Registry

    Nishikimi Mitsuaki, Ogura Takayuki, Nishida Kazuki, Hayashida Kei, Emoto Ryo, Matsui Shigeyuki, Matsuda Naoyuki, Iwami Taku

    CRITICAL CARE MEDICINE   Vol. 49 ( 8 ) page: E741 - E750   2021.8

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    Language:Japanese   Publisher:Critical Care Medicine  

    OBJECTIVES: The optimal target temperature during targeted temperature management for patients after cardiac arrest remains under debate. The aim of this study was to evaluate the association between targeted temperature management at lower target temperatures and the neurologic outcomes among patients classified by the severity of postcardiac arrest syndrome. DESIGN: A multicenter observational study from the out-of-hospital cardiac arrest registry of the Japanese Association for Acute Medicine, which is a nationwide prospective registry of out-of-hospital cardiac arrest patients. SETTING: A total of 125 critical care medical centers or hospitals with an emergency care department across Japan. PATIENTS: A total of 1,111 out-of-hospital cardiac arrest patients who had received targeted temperature management. MEASUREMENTS AND MAIN RESULTS: We divided all 1,111 postcardiac arrest syndrome patients treated with targeted temperature management into two groups: those who received targeted temperature management at a lower target temperature (33-34°C) and those who received targeted temperature management at a higher target temperature (35-36°C). In regard to classification of the patients, we divided the patients into three categories of severity (low, moderate, and high severities) using the risk classification tool, post-Cardiac Arrest Syndrome for Therapeutic hypothermia, which was previously validated. The primary outcome was the percentage of patients with a good neurologic outcome at 30 days, and the secondary outcome was the survival rate at 30 days. Multivariate analysis showed that targeted temperature management at 33-34°C was significantly associated with a good neurologic outcome and survival at 30 days in the moderate severity (odds ratio, 1.70 [95% CI, 1.03-2.83] and 1.90 [95% CI, 1.15-3.16], respectively), but not in the patients of low or high severity (pinteraction = 0.033). Propensity score analysis also showed that targeted temperature management at 33-34°C was associated with a good neurologic outcome in the moderate-severity group (p = 0.022). CONCLUSIONS: Targeted temperature management at 33-34°C was associated with a significantly higher rate of a good neurologic outcome in the moderate-severity postcardiac arrest syndrome group, but not in the low- or high-severity group.

    DOI: 10.1097/CCM.0000000000005025

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  5. A large-scale multi-institutional study evaluating prognostic aspects of positive ascites cytology and effects of therapeutic interventions in epithelial ovarian cancer

    Yoshihara Masato, Emoto Ryo, Kitami Kazuhisa, Iyoshi Shohei, Uno Kaname, Mogi Kazumasa, Tano Sho, Yoshikawa Nobuhisa, Matsui Shigeyuki, Kajiyama Hiroaki

    SCIENTIFIC REPORTS   Vol. 11 ( 1 ) page: 15154   2021.7

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    Language:Japanese   Publisher:Scientific Reports  

    Positive ascites cytology is a strong prognostic factor in patients with early-stage ovarian cancer (OvCa). However, limited information is currently available on the impact of positive ascites cytology on patient prognoses under each clinical background. We herein investigated the comprehensive impact of positive ascites cytology on patients with epithelial OvCa and the effectiveness of additional therapeutic interventions, including complete staging surgery and chemotherapy. Among 4730 patients with malignant ovarian neoplasms, retrospectively identified in multiple institutions, 1906 with epithelial OvCa were included. In the investigation of its effects on clinical factors using a multivariate analysis, positive ascites cytology correlated with a poor prognosis. Positive ascites cytology had a significantly worse prognosis than those with negative cytology in all subgroups except for patients with stage IV tumors and a mucinous histology. Chemotherapy may be effective in reducing the negative impact of positive ascites cytology on the prognosis of patients in terms of progression-free and overall survivals, while complete staging surgery did not improve the prognosis of patients with positive ascites cytology. Collectively, our findings suggested that positive ascites cytology had a negative impact on the prognosis of patients with epithelial OvCa, but not those with stage IV tumors or a mucinous histology.

    DOI: 10.1038/s41598-021-93718-3

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  6. The interplay between bystander cardiopulmonary resuscitation and ambient temperature on neurological outcome after cardiac arrest: A nationwide observational cohort study

    Hayashida Kei, Takegawa Ryosuke, Nishikimi Mitsuaki, Aoki Tomoaki, Emoto Ryo, Shinozaki Koichiro, Miyara Santiago J., Rolston Daniel M., Li Timmy, Shoaib Muhammad, Fukuda Tatsuma, Molmenti Ernesto P., Suzuki Masaru, Sasaki Junichi, Matsui Shigeyuki, Becker Lance B.

    RESUSCITATION   Vol. 164   page: 46 - 53   2021.7

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    Language:Japanese   Publisher:Resuscitation  

    Background: At lower ambient temperature, patients with out-of-hospital cardiac arrest (OHCA) easily experience hypothermia. Hypothermia has shown to improve the rate of successful return of spontaneous circulation (ROSC) in animal models. We hypothesized that lower temperature affects the impact of bystander cardiopulmonary resuscitation (CPR) on the increased odds of a favorable neurological outcome post-OHCA. Methods: This study used information collected by the prospective, nationwide, Utstein registry to examine data from 352,689 adult patients who experienced OHCA from 2012 to 2016 in Japan. The primary outcome was a 1-month favorable neurological outcomes. Multivariable logistic regression analyses were conducted to test the impact of bystander CPR according to the temperature on the favorable outcome. Results: A total of 201,111 patients with OHCA were included in the complete case analysis. The lower temperature group had lower proportions of receiving bystander CPR (46.5 vs. 47.9%) and having favorable outcome (2.1 vs 2.8%) than those in the higher group. Multivariable analysis revealed that bystander CPR at lower temperatures was significantly associated with favorable outcomes (adjusted odds ratio, 1.22; 95% CI, 1.09–1.37), whereas bystander CPR at higher temperatures was not associated with favorable outcomes (1.02; 0.92–1.13). The nonlinear relationship using a spline curve in the multivariable model revealed that odds ratio of favorable neurological outcomes associated with bystander CPR increased as the temperature decreased. Conclusion: Bystander CPR was associated with favorable neurological outcomes at lower temperatures. The odds of a favorable outcome associated with bystander CPR increased as the temperature decreased.

    DOI: 10.1016/j.resuscitation.2021.05.008

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  7. Semi-parametric empirical Bayes factor for genome-wide association studies

    Morisawa Junji, Otani Takahiro, Nishino Jo, Emoto Ryo, Takahashi Kunihiko, Matsui Shigeyuki

    EUROPEAN JOURNAL OF HUMAN GENETICS   Vol. 29 ( 5 ) page: 800 - 807   2021.5

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    Language:Japanese   Publisher:European Journal of Human Genetics  

    Bayes factor analysis has the attractive property of accommodating the risks of both false negatives and false positives when identifying susceptibility gene variants in genome-wide association studies (GWASs). For a particular SNP, the critical aspect of this analysis is that it incorporates the probability of obtaining the observed value of a statistic on disease association under the alternative hypotheses of non-null association. An approximate Bayes factor (ABF) was proposed by Wakefield (Genetic Epidemiology 2009;33:79–86) based on a normal prior for the underlying effect-size distribution. However, misspecification of the prior can lead to failure in incorporating the probability under the alternative hypothesis. In this paper, we propose a semi-parametric, empirical Bayes factor (SP-EBF) based on a nonparametric effect-size distribution estimated from the data. Analysis of several GWAS datasets revealed the presence of substantial numbers of SNPs with small effect sizes, and the SP-EBF attributed much greater significance to such SNPs than the ABF. Overall, the SP-EBF incorporates an effect-size distribution that is estimated from the data, and it has the potential to improve the accuracy of Bayes factor analysis in GWASs.

    DOI: 10.1038/s41431-020-00800-x

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  8. Effect-Size Estimation Using Semiparametric Hierarchical Mixture Models in Disease-Association Studies with Neuroimaging Data

    Emoto Ryo, Kawaguchi Atsushi, Takahashi Kunihiko, Matsui Shigeyuki

    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE   Vol. 2020   page: 7482403   2020.12

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    Language:Japanese   Publisher:Computational and Mathematical Methods in Medicine  

    In disease-association studies using neuroimaging data, evaluating the biological or clinical significance of individual associations requires not only detection of disease-associated areas of the brain but also estimation of the magnitudes of the associations or effect sizes for individual brain areas. In this paper, we propose a model-based framework for voxel-based inferences under spatial dependency in neuroimaging data. Specifically, we employ hierarchical mixture models with a hidden Markov random field structure to incorporate the spatial dependency between voxels. A nonparametric specification is proposed for the effect size distribution to flexibly estimate the underlying effect size distribution. Simulation experiments demonstrate that compared with a naive estimation method, the proposed methods can substantially reduce the selection bias in the effect size estimates of the selected voxels with the greatest observed associations. An application to neuroimaging data from an Alzheimer's disease study is provided.

    DOI: 10.1155/2020/7482403

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  9. Desmoid with biweekly methotrexate and vinblastine shows similar effects to weekly administration: A phase II clinical trial

    Nishida Yoshihiro, Hamada Shunsuke, Urakawa Hiroshi, Ikuta Kunihiro, Sakai Tomohisa, Koike Hiroshi, Ito Kan, Emoto Ryo, Ando Yuichi, Matsui Shigeyuki

    CANCER SCIENCE   Vol. 111 ( 11 ) page: 4187 - 4194   2020.11

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    Language:Japanese   Publisher:Cancer Science  

    Low-dose methotrexate (MTX) plus vinblastine (VBL) chemotherapy is an effective treatment for desmoid-type fibromatosis (DF). However, previous reports have described a weekly regimen, with no reports available on a biweekly one. The aim of this study was to determine the clinical outcomes of a biweekly regimen in a cohort prospectively treated in our single institution. Since 2010, we have prospectively treated refractory DF patients with biweekly MTX (30 mg/m2) + VBL (6 mg/m2). Efficacy, progression-free survival (PFS), and correlating factors were analyzed. Adverse events (AEs) were recorded. In total, 38 patients received low-dose MTX + VBL therapy, and its efficacy was assessed in 37 of them. Nineteen (51%) patients showed partial response (PR). Clinical benefit rate was 95%. PFS at 5 y was 80.8%. In PR cases, median time to response was 10 mo. Longer duration of therapy was significantly associated with the response of PR (P =.007) by univariate analysis. There was no clear association between various clinicopathological factors, including tumor size, location, catenin beta-1 (CTNNB1) mutation status with effect. Only 3 AEs of grade 3/4 were observed. Tumor regrowth after MTX + VBL discontinuation was observed in 5 (20%) of 25 patients. Biweekly administration of MTX + VBL chemotherapy was well tolerated compared with weekly administration, and its efficacy was anticipated in DF patents, although the time needed to achieve a response may be relatively long. The treatment interval should be determined taking into account both the condition of the tumor and the patient's preference.

    DOI: 10.1111/cas.14626

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  10. Two-stage analysis for selecting fixed numbers of features in omics association studies

    Kawabata Takanori, Emoto Ryo, Nishino Jo, Takahashi Kunihiko, Matsui Shigeyuki

    STATISTICS IN MEDICINE   Vol. 38 ( 16 ) page: 2956 - 2971   2019.7

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    Language:Japanese   Publisher:Statistics in Medicine  

    One of main roles of omics-based association studies with high-throughput technologies is to screen out relevant molecular features, such as genetic variants, genes, and proteins, from a large pool of such candidate features based on their associations with the phenotype of interest. Typically, screened features are subject to validation studies using more established or conventional assays, where the number of evaluable features is relatively limited, so that there may exist a fixed number of features measurable by these assays. Such a limitation necessitates narrowing a feature set down to a fixed size, following an initial screening analysis via multiple testing where adjustment for multiplicity is made. We propose a two-stage screening approach to control the false discovery rate (FDR) for a feature set with fixed size that is subject to validation studies, rather than for a feature set from the initial screening analysis. Out of the feature set selected in the first stage with a relaxed FDR level, a fraction of features with most statistical significance is firstly selected. For the remaining feature set, features are selected based on biological consideration only, without regard to any statistical information, which allows evaluating the FDR level for the finally selected feature set with fixed size. Improvement of the power is discussed in the proposed two-stage screening approach. Simulation experiments based on parametric models and real microarray datasets demonstrated substantial increment in the number of screened features for biological consideration compared with the standard screening approach, allowing for more extensive and in-depth biological investigations in omics association studies.

    DOI: 10.1002/sim.8150

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  11. A Model-Based Framework for Voxel and Region Level Inferences in Neuroimaging Disease-Association Studies

    Emoto Ryo, Kawaguchi Atsushi, Otani Takahiro, Matsui Shigeyuki

    16TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY-NEW GENERATIONS (ITNG 2019)   Vol. 800   page: 367 - 372   2019

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    Publisher:Advances in Intelligent Systems and Computing  

    DOI: 10.1007/978-3-030-14070-0_50

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  12. Application of the Multi-Dimensional Hierarchical Mixture Model to Cross-Disorder Genome-Wide Association Studies

    Otani Takahiro, Nishino Jo, Emoto Ryo, Matsui Shigeyuki

    16TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY-NEW GENERATIONS (ITNG 2019)   Vol. 800   page: 361 - 366   2019

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    Language:Japanese   Publisher:Advances in Intelligent Systems and Computing  

    DOI: 10.1007/978-3-030-14070-0_49

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Presentations 7

  1. 脳画像を用いた疾患関連解析における神経学的,機能的領域を考慮した多重検定.

    江本遼,松井茂之

    2020年度統計関連学会連合大会  2020.9.12 

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    Event date: 2020.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  2. A model-based framework for voxel and region level inferences in neuroimaging disease-association studies. International conference

    Emoto R, Kawaguchi A, Otani T, Matsui S.

    16th International Conference on Information Technology: New Generations.  2019.4.2 

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    Event date: 2019.4

    Language:English   Presentation type:Oral presentation (general)  

    Country:United States  

  3. Multiple testing and estimation of disease associations based on semi-parametric hierarchical mixture models, possibly incorporating brain areas. International conference

    Emoto R, Otani T, Matsui S.

    Eastern North American Region International Biometric Society Spring Meeting.  2019.3.24  International Biometric Society

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    Event date: 2019.3

    Language:English   Presentation type:Poster presentation  

    Venue:PHILADELPHIA   Country:United States  

  4. 脳画像と疾患の関連解析における効果サイズ推定

    江本遼,川口淳, 松井茂之

    統計・機械学習若手シンポジウム「統計・機械学習の交わりと拡がり」  2018.8.11 

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    Event date: 2018.8

    Language:Japanese   Presentation type:Poster presentation  

  5. Hierarchical mixture modeling for multiple testing and effect size estimation in voxel-level inference of neuroimaging data. International conference

    Emoto R, Kawaguchi A, Yoshida H, Matsui S

    Joint Statistical Meetings  2018.7.30  The American Statistical Association

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    Event date: 2018.7 - 2018.8

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Vancouver, BC   Country:Canada  

  6. Multiple testing based on semi-parametric hierarchical mixture models under dependency in disease-association studies with neuroimaging data. International conference

    Emoto R, Kawaguchi A, Yoshida H, Matsui S.

    Eastern North American Region International Biometric Society Spring Meeting.  2018.3.25  Eastern North American Region International Biometric Society.

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    Event date: 2018.3

    Language:English   Presentation type:Poster presentation  

    Venue:Atlanta, Georgia   Country:United States  

  7. 脳画像解析における従属性を考慮した関連解析

    江本遼,松井茂之

    科研費基盤S・第8回生物統計ネットワークシンポジウム「統計科学が切り拓く個別化医療:方法論・実践のフロンティア」  2017.3 

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    Event date: 2017.3

    Language:Japanese   Presentation type:Poster presentation  

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KAKENHI (Grants-in-Aid for Scientific Research) 1

  1. 脳画像を用いた疾患関連解析:脳機能学的知見を取り入れた深層潜在構造モデリング

    Grant number:21K17714  2021.4 - 2024.3

    科学研究費助成事業  若手研究

    江本 遼

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    Authorship:Principal investigator 

    Grant amount:\3770000 ( Direct Cost: \2900000 、 Indirect Cost:\870000 )

    社会の急速な高齢化により、認知症などの精神疾患患者の脳機能や形態の客観的評価がますます必要とされている。疾患に関連する脳の部位の検出、及び特定された部位と疾患の関連の大きさを推定するため、脳画像データの持つ空間的構造だけではなく機能的構造を脳全体で統計的にモデリングする必要がある。本研究では、関連構造の統計モデリングに機械学習分野で用いられる深層モデルを導入し、さらに既知の脳の機能構造を取り入れた方法を開発することで、脳画像データの持つ空間的、機能的構造を考慮した疾患関連部位・脳機能の検出、さらに検出部位・機能の有意性の定量的評価を行うための統計的手法を開発する。