Assessment of intermediate coronary lesions by fractional flow reserve and quantitative flow ratio in patients with small‐vessel disease

2019 ◽  
Vol 96 (4) ◽  
pp. 743-751 ◽  
Author(s):  
Aslihan Erbay ◽  
Julia Steiner ◽  
Alexander Lauten ◽  
Ulf Landmesser ◽  
David M. Leistner ◽  
...  
Keyword(s):  
Fractional Flow Reserve ◽  
Small Vessel Disease ◽  
Small Vessel ◽  
Flow Ratio ◽  
Fractional Flow ◽  
Vessel Disease ◽  
Flow Reserve ◽  
Coronary Lesions ◽  
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.

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