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Reproducibility of quantitative flow ratio: the QREP study

Jelmer Westra, Martin Sejr-Hansen, Lukasz Koltowski, Hernán Mejía-Rentería, Shengxian Tu, Janusz Kochman, Yimin Zhang, Tommy Liu, Gianluca Campo, Jakob Hjort, Lone Juul Hune Mogensen, Andrea Erriquez, Birgitte Krogsgaard Andersen, Ashkan Eftekhari, Javier Escaned, Evald Christiansen Christiansen, Niels Holm Holm

2022EuroIntervention44 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Quantitative flow ratio (QFR) is a tool for physiological lesion assessment based on invasive coronary angiography. AIMS: We aimed to assess the reproducibility of QFR computed from the same angiograms as assessed by multiple observers from different, international sites. METHODS: We included 50 patients previously enrolled in dedicated QFR studies. QFR was computed twice, one month apart by five blinded observers. The main analysis was the coefficient of variation (CV) as a measure of intra- and inter-observer reproducibility. Key secondary analysis was the identification of clinical and procedural characteristics predicting reproducibility. RESULTS: The intra-observer CV ranged from 2.3% (1.5-2.8) to 10.2% (6.6-12.0) among the observers. The inter-observer CV was 9.4% (8.0-10.5). The QFR observer, low angiographic quality, and low fractional flow reserve (FFR) were independent predictors of a large absolute difference between repeated QFR measurements defined as a difference larger than the median difference (>0.03). CONCLUSIONS: The inter- and intra-observer reproducibility for QFR computed from the same angiograms ranged from high to poor among multiple observers from different sites with an average agreement of 0.01±0.08 for repeated measurements. The reproducibility was dependent on the observer, angiographic quality and the coronary artery stenosis severity as assessed by FFR.

Topics & Concepts

ReproducibilityMedicineStenosisBiomedical engineeringRadiologyNuclear medicineCoronary artery diseaseCardiologyBlood flowCoronary angiographyInternal medicineArteryAngiographyFlow (mathematics)Coronary Interventions and DiagnosticsCardiac Imaging and DiagnosticsCerebrovascular and Carotid Artery Diseases
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