摘要
近年来基于冠状动脉CT血管成像衍生的无创血流储备分数(FFR_(CT))是心血管成像的一项重大进步,血流储备分数能够识别病变特异性缺血,并为血运重建的临床决策提供信息,充当有创性冠状动脉造影(ICA)的把关人。本文旨在综述FFR_(CT)的研究进展,并简要探讨存在的局限性。
Noninvasive coronary fractional flow reserve derived from CT angiography(FFR_(CT)) is a major advance within cardiovascular imaging in recent years. It can identify pathology-specific ischemia and provide information for clinical decisions on revascularization, serving as a gatekeeper for invasive coronary angiography.This paper reviews the research progress of FFR_(CT) and briefly discusses its limitations.
作者
李诗航
张晓琴
LI Shihang;ZHANG Xiaoqin(Inner Mongolia Medical University,Huhhot 010110,China;Inner Mongolia People's Hospital,Huhhot 010017,China)
出处
《CT理论与应用研究（中英文）》
2023年第2期279-284,共6页
Computerized Tomography Theory and Applications
关键词
机器学习
冠状动脉疾病
血流储备分数
计算流体动力学
machine learning
coronary artery disease
fractional flow reserve
computational fluid dynamics
