PT - JOURNAL ARTICLE AU - Yang, Fu-Bin AU - Guo, Wan-Liang AU - Sheng, Mao AU - Sun, Ling AU - Ding, Yue-Yue AU - Xu, Qiu-Qin AU - Xu, Ming-Guo AU - Lv, Hai-Tao TI - Diagnostic accuracy of coronary angiography using 64-slice computed tomography in coronary artery disease AID - 10.15537/smj.2015.10.12415 DP - 2015 Oct 01 TA - Saudi Medical Journal PG - 1156--1162 VI - 36 IP - 10 4099 - http://smj.org.sa/content/36/10/1156.short 4100 - http://smj.org.sa/content/36/10/1156.full SO - Saudi Med J2015 Oct 01; 36 AB - Objectives: To conduct a meta-analysis and investigate the diagnostic value of 64-slice computed tomography (CT) angiography for diagnosing coronary artery disease (CAD) in patients.Methods: A comprehensive literature search from March 2005 to August 2014 was performed on the following databases: Cochrane Library; Medline; EmBase; PubMed; and BioMed Central database. As a reference standard, studies that assessed 64-slice CT angiography in detecting coronary artery stenosis (CAS) with invasive coronary angiography were included. Coronary artery stenosis was defined as ≥50% diameter stenosis. Diagnostic value was determined by pooling sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR) values at segment-level analysis. Diagnostic accuracy was undertaken using area under the curve (AUC) value and summary receiver operating characteristic (SROC) curves. Publication bias was examined by Deek’s funnel plot asymmetry test.Results: Eight studies were included in the analysis, enrolling a total of 579 patients (7,407 segment coronary vessels). At segment-level, pooled sensitivity value was 90% (95% confidence interval [CI]: 83-95%), specificity was 91% (95% CI: 61-98%), PLR value was 9.7 (95% CI: 1.8-53.3), and NLR value was 0.11 (95% CI: 0.05-0.22) for CAS. Optimal cut-off point of sensitivity was 90%, and specificity under the SROC curve was 91%. The AUC value was 0.94.Conclusion: The 64-slice CT angiography is a reliable tool for detection of CAD when using a cut-off of ≥50% diameter stenosis in elderly population.