2024 Fiscal Year Final Research Report
Development of an AI-based Detection of Iodinated Contrast Agent-Induced Anaphylaxis via Radiomics Analysis
| Project/Area Number |
21K12763
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 90140:Medical technology assessment-related
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| Research Institution | Fujita Health University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
寺本 篤司 藤田医科大学, 保健学研究科, 教授 (00513780)
大野 良治 藤田医科大学, 医学部, 教授 (30324924)
安田 あゆ子 藤田医科大学, 大学病院, 教授 (30402613)
太田 誠一朗 藤田医科大学, 医学部, 講師 (80726688)
外山 宏 藤田医科大学, 医学部, 教授 (90247643)
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| Project Period (FY) |
2021-04-01 – 2025-03-31
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| Keywords | アナフィラキシー / 造影剤 |
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| Outline of Final Research Achievements |
Purpose: Contrast-enhanced CT using iodine-based agents is useful for detecting lesions but can, in rare cases, trigger anaphylaxis. Because its incidence is low, early treatment may be carried forward. In this study, we aim to enable prompt intervention by using AI to detect subtle changes on imaging.
Methods: We analyzed pre- and post-contrast CT scans of patients at Fujita Health University Hospital and classified them according to whether they developed anaphylaxis after receiving contrast medium.
Results and Societal Impact: In the anaphylaxis group, we detected narrowing of major veins alongside dilation of peripheral airways. These imaging changes could serve as reliable markers for automated anaphylaxis detection, facilitating timely clinical intervention.
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| Free Research Field |
放射線医学
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| Academic Significance and Societal Importance of the Research Achievements |
ヨード造影CT検査後のアナフィラキシー発症リスクを、AIによる画像の微細変化解析で早期に検知する基盤を開発しました。学術的には、新たな画像上バイオマーカー探索の可能性を示し、放射線医学やAI医療研究の発展に寄与します。社会的には、検査現場での自動警告システムへの応用により迅速な対応が可能となり、患者の安全性向上と医療事故防止に貢献します。
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