Reduced blood flow to the heart can progress to a heart attack, increasing the need for reliable ways to detect it without invasive testing.
Researchers conducted a literature review of computational approaches designed to improve the noninvasive assessment of myocardial ischemia through fractional flow reserve (FFRCT) and instantaneous wave-free ratio (iFRCT).
The authors note that current computational fluid dynamics models can oversimplify how artery walls and different types of plaque affect resistance at narrowed sections of coronary arteries, while failing to fully account for compensatory changes in coronary microcirculation โ factors that can reduce diagnostic accuracy. They also evaluated strategies for improving physiological fidelity and computational efficiency, including the integration of multimodal clinical data, AI, and digital twin technology.
Defining where current models fall short and where innovation is most needed can guide the development of more effective tools for detecting dangerous cardiovascular changes before they cause lasting heart damage.
๐ฅ๐ฒ๐ฎ๐ฑ ๐บ๐ผ๐ฟ๐ฒ:
link.springer.com/article/10โฆ
๐ฅ๐ฒ๐๐ถ๐ฒ๐: Non-Invasive Computational Techniques for Diagnosing Myocardial Ischemia: Challenges and Future of FFRCT/iFRCT
๐๐๐๐ต๐ผ๐ฟ๐: Bao Li, Jincheng Liu, Yang Yang, Hao Sun, Chi Zhu, Leo Hwa Liang, Zijie Wang, Luyao Fan, Suqin Huang, Xueke Li, Guangfei Li, Liyuan Zhang, Yanping Zhang, Jinping Dong, Boyan Mao, Chang Hou, Jian Liu, Wenchang Tan, and Youjun Liu
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๐ฆ๐๐ฏ๐บ๐ถ๐ ๐๐ผ๐๐ฟ ๐บ๐ฎ๐ป๐๐๐ฐ๐ฟ๐ถ๐ฝ๐:
link.springer.com/journal/10โฆ