2023 Fiscal Year Final Research Report
Establishment of a new method for diagnosing the depth of gallbladder cancer by intraoperative imaging using artificial intelligence
Project/Area Number |
21K07154
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 50010:Tumor biology-related
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Research Institution | Oita University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
遠藤 裕一 大分大学, 医学部, 講師 (20468010)
徳安 達士 福岡工業大学, 情報工学部, 教授 (50435492)
猪股 雅史 大分大学, 医学部, 教授 (60315330)
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Project Period (FY) |
2021-04-01 – 2024-03-31
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Keywords | 胆嚢癌 / NBI / 深達度診断 / 人工知能 |
Outline of Final Research Achievements |
The aim of this study was to evaluate the relationship between cancer depth and positive intraoperative NBI findings in gallbladder cancer and to establish a new diagnostic method using artificial intelligence. A total of 26 cases of gallbladder cancer have been collected so far, and the accuracy of depth diagnosis based on NBI findings and assessment of vascular invasion has been investigated. By increasing the number of cases to 39 new cases and performing a comprehensive pathological analysis of intraoperative observations, we confirmed that NBI-positive findings were significantly associated with vascular invasion. In addition, in collaboration with the Fukuoka Institute of Technology, the learning of NBI-positive findings in artificial intelligence is underway. This has demonstrated the possibility of establishing a diagnostic method using intraoperative NBI with artificial intelligence.
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Free Research Field |
腫瘍生物学関連
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Academic Significance and Societal Importance of the Research Achievements |
本研究では、胆嚢癌の深達度と術中NBI所見の関係を評価し、新たにNBI陽性所見が脈管侵襲と関連することを確認した。これにより、術中NBIを用いた診断が有用であることを示した。今後、人工知能を用いた術中NBI陽性所見診断システム開発を進めることにより、術中NBI所見による癌深達度診断の客観性が担保され、診断の精度向上が期待される。術中の正確な癌深達度診断が可能となることにより、適切な術式による患者負担の軽減及び医療コストの削減が期待される。また今回の研究で得た知見を他領域に応用することにより、新たな領域での術中診断法の確立が期待される。
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