Correlation between epicardial adipose tissue and severity of coronary artery stenosis evaluated by 64-MDCT.

Abstract:

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.

journal_name

Clin Imaging

journal_title

Clinical imaging

authors

Yang C,Li L,Zha Y,Peng Z

doi

10.1016/j.clinimag.2015.12.003

subject

Has Abstract

pub_date

2016-05-01 00:00:00

pages

477-80

issue

3

eissn

0899-7071

issn

1873-4499

pii

S0899-7071(15)00321-6

journal_volume

40

pub_type

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