Abstract
Computed Tomography derived Fractional Flow Reserve (CTFFR) is an emerging non-invasive imaging modality to assess functional significance of coronary stenosis. We performed a meta-analysis to compare the diagnostic performance of CTFFR to invasive Fractional Flow reserve (FFR). Electronic search was performed to identify relevant articles. Pooled Estimates of sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR−) and diagnostic odds ratio (DOR) with corresponding 95% confidence intervals (CI) were calculated at the patient level as well as the individual vessel level using hierarchical logistic regression, summary receiver operating characteristic (SROC) curve and area under the curve were estimated. Our search yielded 559 articles and of these 17 studies was included in the analysis. A total of 2,191 vessels in 1294 patients were analyzed. Pooled estimates of sensitivity, specificity, LR+, LR− and DOR with corresponding 95% CI at per-patient level were 83% (79–87), 72% (68–76), 3.0 (2.6–3.5), 0.23 (0.18–0.29) and 13 (9–18) respectively. Pooled estimates of sensitivity, specificity, LR+, LR− and DOR with corresponding 95% CI at per-vessel level were 85% (83–88), 76% (74–79), 3.6 (3.3–4.0), 0.19 (0.16–0.22) and 19 (15–24). The area under the SROC curve was 0.89 for both per patient level and at the per vessel level. In our meta-analysis, CTFFR demonstrated good diagnostic performance in identifying functionally significant coronary artery stenosis compared to the FFR.
Highlights
Computed Tomography derived Fractional Flow Reserve (CTFFR) is an emerging non-invasive imaging modality to assess functional significance of coronary stenosis
Coronary computed tomography angiography (CCTA) is a non-invasive imaging test to evaluate the burden of coronary artery disease (CAD) and has a high sensitivity and diagnostic accuracy in excluding obstructive CAD
Less than half of the obstructive lesions identified by CCTA were associated with functional ischemia upon evaluation by invasive coronary angiography (ICA)[4,5,6]
Summary
Multivariate meta-regression analysis was performed at per-patient level and per-vessel level for the covariates including study design, sample size (less or more than 100), year of publication, region of study, quality of study, method of CTFFR appraisal, prevalence of CAD, proportion of hypertensive patients, proportion of diabetic patients, proportion of smokers and proportion of patients with dyslipidemia to identify potential sources of heterogeneity (Supplementary Table S4). These exploratory variables were not found to have a significant impact on the heterogeneity of the results at both patient level as well as individual vessel level (Supplementary Table S5)
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