Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography The International Multicenter FAVOR Pilot Study
Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography The International Multicenter FAVOR Pilot Study
复制标题
从诊断性冠状动脉造影得出血流储备分数的快速计算方法的诊断准确性国际多中心 FAVOR 试点研究
DOI：
10.1016/j.jcin.2016.07.013
复制
发表时间：
2016-10-10
影响因子：
11.3
通讯作者：
Wijns, William
中科院分区：
文献类型：
--
作者：
Tu, Shengxian;Westra, Jelmer;Wijns, William
结论这项前瞻性多中心研究的目的是确定简单快速的血流储备分数（FFR）计算的最佳方法，从放射照相冠状动脉造影，称为定量流量比（QFR）。背景一种新的，快速计算QFR回调从三维定量冠状动脉造影最近开发。方法QFR来自3个流量模型：1）固定经验性充血流速（固定流量QFR [fQFR]）; 2）无药物诱导充血的血管造影术得出的模型充血流速（造影剂流量QFR [cQFR]）; 3）腺苷诱导充血期间血管造影术得出的测量充血流速（腺苷流量QFR [aQFR]）。在最大充血期间测量的压力导丝导出的FFR用作参考。独立的核心实验室分析了来自7个国家8个中心的血管造影图像和压力描记。结果比较了73例中度冠状动脉病变患者84支血管的QFR和FFR。平均血管造影直径狭窄百分比（DS%）为46.1 ± 8.9%; 27条血管（32%）有FFR
OBJECTIVES The aim of this prospective multicenter study was to identify the optimal approach for simple and fast fractional flow reserve (FFR) computation from radiographic coronary angiography, called quantitative flow ratio (QFR).BACKGROUND A novel, rapid computation of QFR pullbacks from 3-dimensional quantitative coronary angiography was developed recently.METHODS QFR was derived from 3 flow models with: 1) fixed empiric hyperemic flow velocity (fixed-flow QFR [fQFR]); 2) modeled hyperemic flow velocity derived from angiography without drug-induced hyperemia (contrast-flow QFR [cQFR]); and 3) measured hyperemic flow velocity derived from angiography during adenosine-induced hyperemia (adenosine-flow QFR [aQFR]). Pressure wire-derived FFR, measured during maximal hyperemia, served as the reference. Separate independent core laboratories analyzed angiographic images and pressure tracings from 8 centers in 7 countries.RESULTS The QFR and FFR from 84 vessels in 73 patients with intermediate coronary lesions were compared. Mean angiographic percent diameter stenosis (DS%) was 46.1 +/- 8.9%; 27 vessels (32%) had FFR