Establishing prognostic factors of diabetes mellitus patients using 320-row comprehensive cardiac CT

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K07573
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: Juntendo University
• Principal Investigator: Tomizawa Nobuo 順天堂大学, 医学部, 准教授 (60728509)
• Co-Investigator(Kenkyū-buntansha): 藤本 進一郎 順天堂大学, 医学部, 准教授 (70385871) ; 三田 智也 順天堂大学, 医学部, 准教授 (90532557)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 心臓CT / 心筋血流量 / 数値流体力学

Outline of Final Research Achievements

The purpose of this study was to determine the factors that predict coronary artery lesion progression in patients with diabetes mellitus using comprehensive cardiac CT and computational fluid dynamics. A recently developed deep learning image reconstruction method allowed us to perform comprehensive cardiac CT with low radiation exposure. Computational fluid dynamics based on this data showed that vorticity and energy loss were related to pressure loss in coronary lesions. An observational study of patients of diabetes educational admission and underwent two coronary CT scans at 2-year intervals regarding the parameters obtained in the simulation and the presence of plaque progression showed that lesions with higher vorticity were more likely to progress.

Free Research Field

CT画像診断

Academic Significance and Societal Importance of the Research Achievements

本研究ではCTによる心筋血流の標準化への礎を築き、心筋血流評価を臨床で行うことが簡便にできるようになる。さらに、数値流体力学から得られるパラメータを加味することで、従来より糖尿病患者のプラーク進行を良い精度で診断できるようになる。このことから、CTを用いることで糖尿病患者のリスク層別化が容易になり、心血管イベントを起こさないように早期から介入することで予後が改善できるようになる。