BACKGROUND: Three-dimensional quantitative coronary angiography (3D-QCA) can provide more accurate measurement of true vessel size and may be comparable to intravascular ultrasound (IVUS) in identifying functionally significant coronary stenosis, as determined by fractional flow reserve (FFR). This study aimed to evaluate the diagnostic accuracy of 3D-QCA for predicting FFR <0.8. METHODS: We assessed 175 lesions in 175 patients by FFR, IVUS, and 3D-QCA. Correlations between 3D-QCA values, IVUS values, and FFR values were analyzed. Receiver operating characteristic (ROC) curves were used to evaluate diagnostic accuracy of 3D-QCA for predicting FFR <0.8 and to determine the appropriate cut-off value. RESULTS: Upon evaluating 3D-QCA values, minimum lumen area (MLA) correlated with FFR value (r=0.48, P<0.001). Considering IVUS values, MLA correlated with FFR value (r=0.43, P<0.001). Also, 3D-QCA MLA was well correlated with IVUS MLA (r=0.61, P<0.001). The area under the ROC curve (AUC) for 3D-QCA MLA was 0.77, and the best cut-off value was 2.37 (sensitivity: 73%, specificity: 71%). The AUC for IVUS MLA was 0.73, and the best cut-off value was 3.01 (sensitivity: 71%, specificity: 65%). There was no significant difference in AUC for 3D-MLA and IVUS-MLA (P=0.27). CONCLUSIONS: 3D-QCA is not inferior to IVUS for functional assessment of intermediate coronary lesions. We can consider 3D-QCA as a suitable substitute for IVUS or FFR in determining coronary intervention. 2020 Cardiovascular Diagnosis and Therapy. All rights reserved.
BACKGROUND: Three-dimensional quantitative coronary angiography (3D-QCA) can provide more accurate measurement of true vessel size and may be comparable to intravascular ultrasound (IVUS) in identifying functionally significant coronary stenosis, as determined by fractional flow reserve (FFR). This study aimed to evaluate the diagnostic accuracy of 3D-QCA for predicting FFR <0.8. METHODS: We assessed 175 lesions in 175 patients by FFR, IVUS, and 3D-QCA. Correlations between 3D-QCA values, IVUS values, and FFR values were analyzed. Receiver operating characteristic (ROC) curves were used to evaluate diagnostic accuracy of 3D-QCA for predicting FFR <0.8 and to determine the appropriate cut-off value. RESULTS: Upon evaluating 3D-QCA values, minimum lumen area (MLA) correlated with FFR value (r=0.48, P<0.001). Considering IVUS values, MLA correlated with FFR value (r=0.43, P<0.001). Also, 3D-QCA MLA was well correlated with IVUS MLA (r=0.61, P<0.001). The area under the ROC curve (AUC) for 3D-QCA MLA was 0.77, and the best cut-off value was 2.37 (sensitivity: 73%, specificity: 71%). The AUC for IVUS MLA was 0.73, and the best cut-off value was 3.01 (sensitivity: 71%, specificity: 65%). There was no significant difference in AUC for 3D-MLA and IVUS-MLA (P=0.27). CONCLUSIONS: 3D-QCA is not inferior to IVUS for functional assessment of intermediate coronary lesions. We can consider 3D-QCA as a suitable substitute for IVUS or FFR in determining coronary intervention. 2020 Cardiovascular Diagnosis and Therapy. All rights reserved.
Authors: Kaneshka Masdjedi; Laurens J C van Zandvoort; Matthew M Balbi; Frank J H Gijsen; Jurgen M R Ligthart; Marcel C M Rutten; Miguel E Lemmert; Jeroen Wilschut; Roberto Diletti; Peter De Jaegere; Felix Zijlstra; Nicolas M Van Mieghem; Joost Daemen Journal: EuroIntervention Date: 2019-05-14 Impact factor: 6.534
Authors: Shengxian Tu; Emanuele Barbato; Zsolt Köszegi; Junqing Yang; Zhonghua Sun; Niels R Holm; Balázs Tar; Yingguang Li; Dan Rusinaru; William Wijns; Johan H C Reiber Journal: JACC Cardiovasc Interv Date: 2014-07 Impact factor: 11.195
Authors: Woo-Young Chung; Byoung-Joo Choi; Seong-Hoon Lim; Yoshiki Matsuo; Ryan J Lennon; Rajiv Gulati; Gurpreet S Sandhu; David R Holmes; Charanjit S Rihal; Amir Lerman Journal: J Korean Med Sci Date: 2015-05-13 Impact factor: 2.153