Predicting post stent fractional flow reserve virtually from quantitative flow ratio – Can we really get there from here?

2020 ◽  
Vol 96 (6) ◽  
pp. 1154-1155
Author(s):  
Morton J. Kern ◽  
Arnold H. Seto
Keyword(s):  
Fractional Flow Reserve ◽  
Flow Ratio ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Quantitative Flow Ratio ◽  
Quantitative Flow

scholarly journals P4635Referral of patients for fractional flow reserve using quantitative flow ratio

2018 ◽  
Vol 39 (suppl_1) ◽  
Author(s):  
J M Smit ◽  
G Koning ◽  
A R Van Rosendael ◽  
M El Mahdiui ◽  
B J Mertens ◽  
...  
Keyword(s):  
Fractional Flow Reserve ◽  
Flow Ratio ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Quantitative Flow Ratio ◽  
Quantitative Flow

scholarly journals Meta-Analysis of Diagnostic Performance of Contrast-Fractional Flow Reserve versus Quantitative Flow Ratio for Functional Assessment of Coronary Stenoses

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Ruitao Zhang ◽  
Jianwei Zhang ◽  
Lijun Guo
Keyword(s):  
Sensitivity And Specificity ◽  
Fractional Flow Reserve ◽  
Coronary Stenosis ◽  
Diagnostic Performance ◽  
Meta Analysis ◽  
Flow Ratio ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Quantitative Flow Ratio ◽  
Quantitative Flow

Background. Use of the fractional flow reserve (FFR) technique is recommended to evaluate coronary stenosis severity and guide revascularization. However, its high cost, time to administer, and the side effects of adenosine reduce its clinical utility. Two novel adenosine-free indices, contrast-FFR (cFFR) and quantitative flow ratio (QFR), can simplify the functional evaluation of coronary stenosis. This study aimed to analyze the diagnostic performance of cFFR and QFR using FFR as a reference index. Methods. We conducted a systematic review and meta-analysis of observational studies in which cFFR or QFR was compared to FFR. A bivariate model was applied to pool diagnostic parameters. Cochran’s Q test and the I2 index were used to assess heterogeneity and identify the potential source of heterogeneity by metaregression and sensitivity analysis. Results. Overall, 2220 and 3000 coronary lesions from 20 studies were evaluated by cFFR and QFR, respectively. The pooled sensitivity and specificity were 0.87 (95% CI: 0.81, 0.91) and 0.92 (95% CI: 0.88, 0.94) for cFFR and 0.87 (95% CI: 0.82, 0.91) and 0.91 (95% CI: 0.87, 0.93) for QFR, respectively. No statistical significance of sensitivity and specificity for cFFR and QFR were observed in the bivariate analysis (P=0.8406 and 0.4397, resp.). The area under summary receiver-operating curve of cFFR and QFR was 0.95 (95% CI: 0.93, 0.97) for cFFR and 0.95 (95% CI: 0.93, 0.97). Conclusion. Both cFFR and QFR have good diagnostic performance in detecting functional severity of coronary arteries and showed similar diagnostic parameters.

Referral of patients for fractional flow reserve using quantitative flow ratio

2018 ◽  
Vol 20 (11) ◽  
pp. 1231-1238 ◽  
Author(s):  
Jeff M Smit ◽  
Gerhard Koning ◽  
Alexander R van Rosendael ◽  
Mohammed El Mahdiui ◽  
Bart J Mertens ◽  
...  
Keyword(s):  
Coronary Angiography ◽  
Fractional Flow Reserve ◽  
Invasive Coronary Angiography ◽  
Quantitative Coronary Angiography ◽  
Coronary Intervention ◽  
Flow Ratio ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Quantitative Flow Ratio ◽  
Quantitative Flow

Abstract Aims Quantitative flow ratio (QFR) is a recently developed technique to calculate fractional flow reserve (FFR) based on 3D quantitative coronary angiography and computational fluid dynamics, obviating the need for a pressure-wire and hyperaemia induction. QFR might be used to guide patient selection for FFR and subsequent percutaneous coronary intervention (PCI) referral in hospitals not capable to perform FFR and PCI. We aimed to investigate the feasibility to use QFR to appropriately select patients for FFR referral. Methods and results Patients who underwent invasive coronary angiography in a hospital where FFR and PCI could not be performed and were referred to our hospital for invasive FFR measurement, were included. Angiogram images from the referring hospitals were retrospectively collected for QFR analysis. Based on QFR cut-off values of 0.77 and 0.86, our patient cohort was reclassified to ‘no referral’ (QFR ≥0.86), referral for ‘FFR’ (QFR 0.78–0.85), or ‘direct PCI’ (QFR ≤0.77). In total, 290 patients were included. Overall accuracy of QFR to detect an invasive FFR of ≤0.80 was 86%. Based on a QFR cut-off value of 0.86, a 50% reduction in patient referral for FFR could be obtained, while only 5% of these patients had an invasive FFR of ≤0.80 (thus, these patients were incorrectly reclassified to the ‘no referral’ group). Furthermore, 22% of the patients that still need to be referred could undergo direct PCI, based on a QFR cut-off value of 0.77. Conclusion QFR is feasible to use for the selection of patients for FFR referral.

scholarly journals Is quantitative flow ratio enough to accurately assess intermediate coronary stenosis? A comparison study with fractional flow reserve

2020 ◽  
Vol 26 (6) ◽  
pp. 793-795
Author(s):  
Paweł Kleczyński ◽  
Artur Dziewierz ◽  
Lukasz Rzeszutko ◽  
Dariusz Dudek ◽  
Jacek Legutko
Keyword(s):  
Fractional Flow Reserve ◽  
Coronary Stenosis ◽  
Comparison Study ◽  
Flow Ratio ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Quantitative Flow Ratio ◽  
Quantitative Flow
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