Purpose: The purpose was to investigate the correlation between epicardial adipose tissue (EAT) thickness, EAT volume, and severity of coronary artery stenosis.
Methods: We retrospectively enrolled 188 patients that underwent coronary computed tomography (CT) angiography for clinically suspected coronary artery disease using 64-MDCT. Images were reconstructed using a retrospective electrocardiogram-gated algorithm with 0.625-mm-thick sections. EAT thickness and volume were calculated.
Results: The coronary CT angiography showed 106 patients who had coronary artery pathology (178 lesions), 21 patients with moderate stenosis (27 lesions), 12 patients with severe stenosis (18 lesions), and 6 patients with complete occlusion (8 lesions). EAT thickness, EAT volume, and Gensini score were statistically different among groups (FT=32.306, FV=27.743, F=110.483, P=.000). Pearson correlation analysis showed that Gensini score had significantly positive correlation with EAT thickness and volume, respectively.
Conclusion: EAT thickness and volume demonstrated a positive correlation with severity of coronary artery stenosis.
Keywords: 64-slice CT; Coronary artery stenosis; Epicardial adipose tissue; Risk factor.
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