2017
DOI: 10.1016/j.jacc.2017.10.035
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Diagnostic Accuracy of Angiography-Based Quantitative Flow Ratio Measurements for Online Assessment of Coronary Stenosis

Abstract: The study met its prespecified primary performance goal for the level of diagnostic accuracy of QFR in identifying hemodynamically significant coronary stenosis. (The FAVOR [Functional Diagnostic Accuracy of Quantitative Flow Ratio in Online Assessment of Coronary Stenosis] II China study]; NCT03191708).

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Cited by 417 publications
(481 citation statements)
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“…Diagnostic performance of QFR in FAVOR II E‐J was noteworthy and comparable with the findings in the recent and almost similar FAVOR II China study 12. SDs for mean difference FFR‐QFR were identical (0.06).…”
Section: Discussionsupporting
confidence: 86%
“…Diagnostic performance of QFR in FAVOR II E‐J was noteworthy and comparable with the findings in the recent and almost similar FAVOR II China study 12. SDs for mean difference FFR‐QFR were identical (0.06).…”
Section: Discussionsupporting
confidence: 86%
“…The diagnostic performance of QFR with FFR as reference is well documented in patients with stable angina . Our data indicate that QFR might also be a valuable tool in the evaluation of NCLs in patients with acute STEMI undergoing primary PCI.…”
Section: Discussionmentioning
confidence: 56%
“…The complete list of anatomical and angiographic exclusion criteria is presented in Supporting Information Table S1. These criteria for QFR analysis match those of prior QFR studies …”
Section: Methodsmentioning
confidence: 86%
“…To improve access to functional lesion evaluation during invasive coronary angiography, quantitative flow ratio (QFR) based on three‐dimensional reconstruction of coronary arteries and application of mathematical equations was recently developed. Validation of QFR in mid‐sized prospective studies showed good diagnostic accuracy of QFR in core‐lab and in‐procedure settings using FFR as the reference standard with an overall classification agreement ranging between 80 and 90% . In this systematic, individual participant data meta‐analysis based on prospective studies, we aimed to evaluate the diagnostic performance of the CE‐marked QFR algorithm (Medis medical imaging b.v. and Pulse Medical Imaging Technology Co.) and identify predictors for discrepancy between QFR and FFR.…”
Section: Introductionmentioning
confidence: 99%