Sun Zheng, Jiao Wenbin
Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, Hebei 071003, P. R. China.
Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding, Hebei 071003, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Feb 25;40(1):171-179. doi: 10.7507/1001-5515.202206044.
Coronary artery fractional flow reserve (FFR) is a critical physiological indicator for assessment of impaired blood flow caused by coronary artery stenosis. The wire-based invasive measurement of blood flow pressure gradient across stenosis is the gold standard for clinical measurement of FFR. However, it has the risk of vascular injury and requires the use of vasodilators, increasing the time and overall cost of interventional examination. Coronary imaging is playing an important role in clinical diagnosis of stenotic lesions, evaluation of severity of lesions, and planning of therapies. In recent years, the computation of FFR based on the physiological information of blood flow obtained from routinely collected coronary image data has become a research focus in this field. This technique reduces the cost of physiological assessment of coronary lesions and the use of pressure wires. It is beneficial to strengthen the physiological guidance in interventional therapy. In order to better understand this emerging technique, this paper highlights its implementation principle and diagnostic performance, analyzes practical problems and current challenges in clinical applications, and discusses possible future development.
冠状动脉血流储备分数（FFR）是评估冠状动脉狭窄导致血流受损的关键生理指标。基于导丝的跨狭窄血流压力梯度侵入性测量是FFR临床测量的金标准。然而，它存在血管损伤风险，且需要使用血管扩张剂，增加了介入检查的时间和总体成本。冠状动脉成像在狭窄病变的临床诊断、病变严重程度评估及治疗方案规划中发挥着重要作用。近年来，基于常规采集的冠状动脉图像数据所获血流生理信息计算FFR已成为该领域的研究热点。该技术降低了冠状动脉病变生理评估成本及压力导丝的使用。有利于加强介入治疗中的生理指导。为更好地理解这一新兴技术，本文重点介绍其实施原理和诊断性能，分析临床应用中的实际问题和当前挑战，并探讨未来可能的发展方向。
