Three Dimensional Quantitative Coronary Angiography Can Detect Reliably Ischemic Coronary Lesions Based on Fractional Flow Reserve.
10.3346/jkms.2015.30.6.716
- Author:
Woo Young CHUNG
1
;
Byoung Joo CHOI
;
Seong Hoon LIM
;
Yoshiki MATSUO
;
Ryan J LENNON
;
Rajiv GULATI
;
Gurpreet S SANDHU
;
David R HOLMES
;
Charanjit S RIHAL
;
Amir LERMAN
Author Information
1. Devision of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University, College of Medicine, Seoul, Korea.
- Publication Type:Original Article
- Keywords:
Coronary Angiography;
Myocardial Ischemia;
Coronary Artery Disease
- MeSH:
Aged;
Coronary Angiography/*methods;
Coronary Circulation;
Coronary Stenosis/etiology/*physiopathology/*radiography;
Female;
*Fractional Flow Reserve, Myocardial;
Humans;
Imaging, Three-Dimensional/*methods;
Male;
Myocardial Ischemia/complications/physiopathology/*radiography;
Radiographic Image Enhancement/methods;
Radiographic Image Interpretation, Computer-Assisted/methods;
Reproducibility of Results;
Sensitivity and Specificity
- From:Journal of Korean Medical Science
2015;30(6):716-724
- CountryRepublic of Korea
- Language:English
-
Abstract:
Conventional coronary angiography (CAG) has limitations in evaluating lesions producing ischemia. Three dimensional quantitative coronary angiography (3D-QCA) shows reconstructed images of CAG using computer based algorithm, the Cardio-op B system (Paieon Medical, Rosh Ha'ayin, Israel). The aim of this study was to evaluate whether 3D-QCA can reliably predict ischemia assessed by myocardial fractional flow reserve (FFR) < 0.80. 3D-QCA images were reconstructed from CAG which also were evaluated with FFR to assess ischemia. Minimal luminal diameter (MLD), percent diameter stenosis (%DS), minimal luminal area (MLA), and percent area stenosis (%AS) were obtained. The results of 3D-QCA and FFR were compared. A total of 266 patients was enrolled for the present study. FFR for all lesions ranged from 0.57 to 1.00 (0.85 +/- 0.09). Measurement of MLD, %DS, MLA, and %AS all were significantly correlated with FFR (r = 0.569, 0609, 0.569, 0.670, respectively, all P < 0.001). In lesions with MLA < 4.0 mm2, %AS of more than 65.5% had a 80% sensitivity and a 83% specificity to predict FFR < 0.80 (area under curve, AUC was 0.878). 3D-QCA can reliably predict coronary lesions producing ischemia and may be used to guide therapeutic approach for coronary artery disease.
