Tokushima University / Educator and Researcher Directory --- Ookushi, Yuichiro

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Tokushima University ⟩ University Hospital ⟩ 先端医科医療開発研究プロジェクト ⟩
Tokushima University ⟩ University Hospital ⟩ Clinical Division ⟩ Department of Internal Medicine ⟩ Cardiovascular Medicine ⟩
Tokushima University ⟩ Faculty of Medicine ⟩ School of Medicine ⟩ Course of Diseased Organ and Repair Medicine ⟩ Cardiovascular Medicine ⟩

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Research

Field of Study

Subject of Study

Book / Paper

Academic Paper (Judged Full Paper):

1.	Yoshihito Saijyo, Robert Zheng, Yuichiro Ookushi, Yuka Nomura, Yukina Hirata, Hiroaki Inoue, Hirotsugu Yamada, Kenya Kusunose and Masataka Sata : Fully automated artificial intelligence-based echocardiographic analysis for global longitudinal strain monitoring and cancer therapy-related cardiac dysfunction detection in breast cancer patients, European Heart Journal. Digital Health, 7, 6, ztag097, 2026. (Summary) Global longitudinal strain (GLS) is essential for the early detection of cancer therapy-related cardiac dysfunction (CTRCD). A fully automated echocardiographic analysis system using artificial intelligence (AI) may improve workflow efficiency in cardio-oncology. We sought to evaluate the feasibility and diagnostic performance of a fully automated AI-based echocardiographic system in breast cancer patients receiving cardiotoxic chemotherapy. In this prospective observational study, patients with breast cancer undergoing anthracyclines and/or HER2-targeted therapy between January 2022 and June 2025 were enrolled. Transthoracic echocardiography was performed at baseline and every 12 weeks. GLS was measured manually by two experts and automatically by a fully automated AI-based analysis system. A total of 92 patients (456 echocardiographic studies) were analysed. AI-derived GLS values were significantly lower than expert measurements (17.7 ± 2.9% vs. 18.4 ± 2.8%, P = 0.007). Correlation and agreement between the two methods were moderate (R = 0.64, intraclass correlation coefficient = 0.63). On linear mixed-effects modelling, longitudinal changes in GLS were not significantly different between methods (P = 0.72). GLS-based CTRCD was detected in 31.5% of patients by experts and 34.8% by AI (P = 0.58), with similar detection timing (P = 0.47). Diagnostic agreement was substantial (κ = 0.68, P < 0.001). The fully automated AI-based echocardiographic system demonstrated acceptable agreement and diagnostic performance for GLS assessment and showed a similar ability to track temporal relative GLS changes and identify CTRCD. However, systemic underestimation of absolute GLS values may contribute to threshold-based classification discordance in borderline cases. (Keyword) artificial intelligence / breast cancer / Cardiac dysfunction / Chemotherapy / CTRCD / GLS (Tokushima University Institutional Repository) ● Metadata: 2014658 (Link to Publication Site) ● Publication site (DOI): 10.1093/ehjdh/ztag097 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 42388419 ● Summary page in Scopus @ Elsevier: 2-s2.0-105043533627 (Tokushima University Institutional Repository: 2014658, DOI: 10.1093/ehjdh/ztag097, PubMed: 42388419, Elsevier: Scopus)

Review, Commentary:

1.	Yuichiro Ookushi, Tomonori Takahashi and Kenya Kusunose : Echocardiographic evaluation and clinical implications of cardiac remodeling in obesity, Journal of Echocardiography, 24, 69-79, Jan. 2026. (Keyword) Bariatric surgery / Cardiac function / Cardiac structure / transesophageal echocardiography / GLP-1 RA / obesity (Link to Publication Site) ● Publication site (DOI): 10.1007/s12574-026-00721-6 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-105030391785 (DOI: 10.1007/s12574-026-00721-6, Elsevier: Scopus)

Proceeding of Domestic Conference:

1.	Yukina Hirata, Ren Nonaka, NOMURA Yuka, YAMAGUCHI Natsumi, Susumu Nishio, Zheng Robert, Yuichiro Ookushi, Tomonori Takahashi, Yoshihito Saijyo, Hirotsugu Yamada, Kenya Kusunose and Masataka Sata : 装置非依存AI解析によるGlobal Longitudinal Strain装置間差の検討, 日本心エコー図学会第37回学術集会, Apr. 2026.
2.	平田有紀奈, 片岡明久, 野中蓮, 野村侑香, 山口夏美, 西尾進, Yuichiro Ookushi, Zheng Robert, Tomonori Takahashi, Yoshihito Saijyo, 吉住多聞, 荒川雅崇, 太田隆, Hirotsugu Yamada and Masataka Sata : Let's try hands-on! Hand modelで学ぶ三尖弁3Dエコーの第一歩, 日本心エコー図学会第37回学術集会, Apr. 2026.

Grants-in-Aid for Scientific Research (KAKEN Grants Database @ NII.ac.jp)

Complication rate and prognostic impact of cancer on cardiovascular diseases in Japan (Project/Area Number: 20K17084 )
Search by Researcher Number (10868780)