Shaikh Kashif, Lozano Patricia Rodriguez, Evangelou Sotirios, Wu En-Haw, Nurmohamed Nick S, Madan Nidhi, Verghese Dhiran, Shekar Chandana, Waheed Anam, Siddiqui Saira, Kolossváry Márton, Almeida Shone, Coombes Tyler, Suchá Dominika, Trivedi Siddharth J, Ihdayhid Abdul Rahman
Department of Medicine, Division of Cardiology, University of Tennessee, Knoxville, TN, USA.
Department of Medicine, Cardiovascular Division, University of Virgina Health, Charlottesville, VA, USA; Department of Radiology and Medical Imaging University of Virginia Health, Charlottesville, VA, USA.
J Cardiovasc Comput Tomogr. 2025 Jul-Aug;19(4):390-396. doi: 10.1016/j.jcct.2025.07.001. Epub 2025 Jul 19.
Advancements in cardiac computed tomography angiography (CCTA) have enabled the extraction of physiological data from an anatomy-based imaging modality. This review outlines the key methodologies for deriving fractional flow reserve (FFR) from CCTA, with a focus on two primary methods: 1) computational fluid dynamics-based FFR (CT-FFR) and 2) plaque-derived ischemia assessment using artificial intelligence and quantitative plaque metrics. These techniques have expanded the role of CCTA beyond anatomical assessment, allowing for concurrent evaluation of coronary physiology without the need for invasive testing. This review provides an overview of the principles, workflows, and limitations of each technique and aims to inform on the current state and future direction of non-invasive coronary physiology assessment.
心脏计算机断层扫描血管造影（CCTA）的进展使得从基于解剖结构的成像模态中提取生理数据成为可能。本综述概述了从CCTA推导血流储备分数（FFR）的关键方法，重点介绍两种主要方法：1）基于计算流体动力学的FFR（CT-FFR）和2）使用人工智能和定量斑块指标的斑块衍生缺血评估。这些技术扩展了CCTA在解剖学评估之外的作用，无需进行侵入性检测即可同时评估冠状动脉生理学。本综述概述了每种技术的原理、工作流程和局限性，旨在介绍无创冠状动脉生理学评估的现状和未来方向。
