Development of prognosis prediction AI program after endovascular aortic repair

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K09245
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 55030:Cardiovascular surgery-related
• Research Institution: Osaka University
• Principal Investigator: Shimamura Kazuo 大阪大学, 医学系研究科, 准教授 (10507205)
• Co-Investigator(Kenkyū-buntansha): 政田 健太 大阪大学, 医学部附属病院, 特任助教 (60770584) ; 金 啓和 大阪大学, 医学系研究科, 特任研究員 (70532985) ; 倉谷 徹 大阪大学, 医学系研究科, 特任教授 (90448035)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 大動脈解離 / AI / 大動脈弾性率

Outline of Final Research Achievements

In this research, AI based program which predicts the thrombosis/shrinkage of the false lumen in late phase after primary entry closure by TEVAR in aortic dissection was developed. Preoperative, operative and postoperative parameters which related to the fate of false lumen was determined by traditional statistically method, and comprehensive aortic dissection database was build.
Elastic modulus was involved in the AI program as a key factor for prediction of false lumen status. A program to calculate the elastic modulus of the ascending aorta using ECG-gated CT scan in vivo was developed, and it was validated ex-vivo by examining the aortic samples with tensile test. Histological examination was also performed.

Free Research Field

大動脈解離

Academic Significance and Societal Importance of the Research Achievements

本研究により大動脈解離に対するTEVARの遠隔期有効性（＝偽腔退縮性）を予見するプログラムを構築する基盤が構築されたと考えられる。大動脈解離に対する治療はリスクが高くかつ高額であることから、治療前に遠隔期有効性を予見することで治療成績の向上および医療費削減に大きく貢献することが期待される。