title: Correlation between epicardial adipose tissue and severity of coronary artery stenosis evaluated by 64-MDCT.
abstract: OBJECTIVE
  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.
  
  
  CONCLUSIONS
  EAT thickness and volume demonstrated a positive correlation with severity of coronary artery stenosis.
authors.affiliation: Department of Radiology, the Huaihe Hospital of Henan University, Henan, Kaifeng, 475000, PR China; Department of Radiology, the People's Hospital of Wuhan University, Wuhan, 430060, PR China.
authors.forename: Chunying
authors.initials: C
authors.lastname: Yang
authors.affiliation: Department of Radiology, the Huaihe Hospital of Henan University, Henan, Kaifeng, 475000, PR China.
authors.forename: Liang
authors.initials: L
authors.lastname: Li
authors.affiliation: Department of Radiology, the People's Hospital of Wuhan University, Wuhan, 430060, PR China. Electronic address: chengweicip@126.com.
authors.forename: Yunfei
authors.initials: Y
authors.lastname: Zha
authors.affiliation: Department of Radiology, the People's Hospital of Wuhan University, Wuhan, 430060, PR China.
authors.forename: Zhoufeng
authors.initials: Z
authors.lastname: Peng
mesh_terms: D000273:Adipose Tissue / Q000000981:diagnostic imaging*; D050154:Adiposity; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D017023:Coronary Angiography / Q000379:methods*; D023921:Coronary Stenosis / Q000175:diagnosis* / Q000209:etiology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D061330:Multidetector Computed Tomography / Q000379:methods*; D010496:Pericardium / Q000000981:diagnostic imaging*; D012189:Retrospective Studies; D012307:Risk Factors; D012720:Severity of Illness Index
keywords: 64-slice CT; Coronary artery stenosis; Epicardial adipose tissue; Risk factor