Anonymous Comparison of Various Angiography-Derived Fractional Flow Reserve Software With Pressure-Derived Physiological Assessment

部分流量储备 医学 接收机工作特性 血管造影 软件 核医学 狭窄 放射科 心脏病学 冠状动脉造影 内科学 计算机科学 心肌梗塞 程序设计语言
作者
Kai Ninomiya,Patrick W. Serruys,Nozomi Kotoku,Jinying Zhou,Shigetaka Kageyama,Shinichiro Masuda,Pruthvi C Revaiah,Bo Wang,Xinming He,Tsung-Ying Tsai,Momoko Kageyama,Emelyne Sevestre,Faisal Sharif,Scot Garg,Takashi Akasaka,Javier Escaned,Manesh R. Patel,Yoshinobu Onuma
出处
期刊:Jacc-cardiovascular Interventions [Elsevier]
卷期号:16 (14): 1778-1790 被引量:7
标识
DOI:10.1016/j.jcin.2023.04.026
摘要

Software to compute angiography-derived fractional flow reserve (angio-FFR) have been validated against pressure wire-derived fractional flow reserve (PW-FFR) with an area under the receiver-operating characteristic curve (AUC) of 0.93 to 0.97.The aim of this study was to investigate diagnostic accuracies of 5 angio-FFR software/methods by an independent core lab in a prospective cohort of 390 vessels with carefully documented sites of PW-FFR and pressure wire-derived instantaneous wave-free ratio.One "matcher investigator" colocalized on angiography the sites of pressure wire measurement with angio-FFR measurements and provided the same 2 optimal angiographic views and frame selection to independent analysts who were blinded to invasive physiological results and results from other software. The results were anonymized and randomly presented. The AUC of each angio-FFR was compared with 2-dimensional quantitative coronary angiography (QCA) percent diameter stenosis (%DS) using a 2-tailed paired comparison of AUC.All 5 software/methods yielded a high proportion of analyzable vessels (A: 100%, B: 100%, C: 92.1%, D: 99.5%, and E: 92.1%). The AUCs for predicting fractional flow reserve ≤0.8 for software A, B, C, D, E, and 2-dimensional QCA %DS were 0.75, 0.74, 0.74, 0.73, 0.73, and 0.65, respectively. The AUC for each angio-FFR was significantly greater than that for 2-dimensional QCA %DS.This head-to-head comparison by an independent core lab demonstrated that the diagnostic accuracy of various angio-FFR software for predicting PW-FFR ≤0.80 was useful, with a higher discrimination compared with 2-dimensional QCA %DS; however, it did not reach the diagnostic accuracy previously reported in validation studies of various vendors. Therefore, the intrinsic clinical value of "angiography-derived fractional flow reserve" requires confirmation in large clinical trials.
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