Three-dimensional modeling and numerical analysis of fractional flow reserve in human coronary arteries

INTRODUCTION: Noninvasive fractional flow reserve (FFR) computed from CT (FFR(CT)) is a novel method for determining the physiologic significance of coronary artery disease (CAD). Several clinical trials have been conducted, but its diagnostic performance varied among different trials. AIM: To determine the cut-off value of FFR(CT) and its correlation with the gold standard used to diagnose CAD in clinical practice. MATERIAL AND METHODS: Forty patients with single vessel disease were included in our study. Computed tomography scan and coronary angiography with FFR were conducted for these patients. Three-dimensional geometric reconstruction and numerical analysis based on the computed tomographic angiogram (CTA) of coronary arteries were applied to obtain the values of FFR(CT). The correlation between FFR(CT) and the gold standard used in clinical practice was tested. RESULTS: For FFR(CT), the best cut-off value was 0.76, with the sensitivity, specificity, positive predictive value and negative predictive values of 84.6%, 92.9%, 88% and 73.3%, respectively. The area under the receiver-operator characteristics curve was 0.945 (p < 0.0001). There was a good correlation of FFR(CT) values with FFR values (r = 0.94, p < 0.0001), with a slight overestimation of FFR(CT) as compared with measured FFR (mean difference 0.01 ±0.11, p < 0.05). For inter-observer agreement, the mean κ value was 0.69 (0.61 to 0.78) and for intra-observer agreement the mean κ value was 0.61 (0.50 to 0.72). CONCLUSIONS: FFR(CT) derived from CT of the coronary artery is a reliable non-invasive way providing reliable functional information of coronary artery stenosis.