| Project/Area Number |
20H04052
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 59010:Rehabilitation science-related
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| Research Institution | Okayama University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
中原 龍一 岡山大学, 大学病院, 助教 (30509477)
大塚 愛二 岡山大学, 医歯薬学総合研究科, 特命教授 (50168986)
木股 敬裕 岡山大学, 医歯薬学域, 教授 (50392345)
山田 潔 岡山大学, 医歯薬学域, 准教授 (10319965)
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥18,070,000 (Direct Cost: ¥13,900,000、Indirect Cost: ¥4,170,000)
Fiscal Year 2022: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2021: ¥6,630,000 (Direct Cost: ¥5,100,000、Indirect Cost: ¥1,530,000)
Fiscal Year 2020: ¥10,530,000 (Direct Cost: ¥8,100,000、Indirect Cost: ¥2,430,000)
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| Keywords | リンパ浮腫 / 婦人科癌 / リンパ管造影 / lymphedema / Artificial Intelligence / 複合的理学療法 / 解剖 / リンパ解剖 / 人工知能 |
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| Outline of Research at the Start |
リンパ浮腫は、癌サバイバーが増加とともに患者数が急速に増加しているが、一方で解剖学的根拠のある画像診断法とそれに基づいた治療指針は確立されていない。しかし申請者は遺体研究に基づいたリンパ画像診断技術、さらに新・複合的理学療法治療体系を構築した。
今回、撮像機器の開発により人工知能(AI)学習用データを大量に収拾し、AI画像診断技術システムを開発、さらには画像診断学的根拠に基づいた新・複合的理学療法を普及させる。
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| Outline of Final Research Achievements |
This study revealed the whole anatomy of the lower limb lymphatic system. It was previously believed that there was only one lymphatic system in the lower limbs, but it has been proven that there are two major systems, and more specifically, four systems. Additionally, it was also discovered that the lymphatic system in the lower abdomen is independent of the lower limbs. Furthermore, success was achieved in developing an imaging device that can visualize this anatomy. Existing devices could only observe small areas, but the new imaging device combines a wide-angle camera with a light source capable of illuminating a wide area, enabling real-time imaging of the entire system. Additionally, work has begun on developing an AI algorithm that colors the overall images captured. At present, by taking images repeatedly at different angles, the learning efficiency of the algorithm has been improved.
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| Academic Significance and Societal Importance of the Research Achievements |
成果は、リンパ浮腫画像診断におけるリンパ管造影法の検査手技の標準化や、画像診断法の確立に役立っている。装置の開発により全体像を観察できることで、画像所見の理解が容易になった。
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