Epicardial fat volume measured on nongated chest CT is a predictor of coronary artery disease

被引:35
作者
Nagayama, Yasunori [1 ]
Nakamura, Naoki [2 ]
Itatani, Ryo [2 ]
Oda, Seitaro [1 ]
Kusunoki, Shinichiro [2 ]
Takahashi, Hideo [2 ]
Nakaura, Takeshi [1 ]
Utsunomiya, Daisuke [3 ]
Yamashita, Yasuyuki [1 ]
机构
[1] Kumamoto Univ, Grad Sch Med Sci, Dept Diagnost Radiol, Chuo Ku, 1-1-1 Honjo, Kumamoto 8608556, Japan
[2] Minamata City Gen Hosp & Med Ctr, Dept Radiol, 1-2-1 Tenjin Cho, Minamata 8670041, Japan
[3] Yokohama City Univ Med, Dept Diagnost Radiol, Kanazawa Ku, 3-9 Fukuura, Yokohama, Kanagawa 2360004, Japan
基金
日本学术振兴会;
关键词
Multidetector computed tomography; Pericardium; Body fat distribution; Coronary artery disease; Predictive value of tests; CARDIOVASCULAR COMPUTED-TOMOGRAPHY; ADIPOSE-TISSUE VOLUME; INDEPENDENT PREDICTOR; LIVER FAT; CALCIUM; QUANTIFICATION; ASSOCIATION; AGREEMENT; SCANS; ANGIOGRAPHY;
D O I
10.1007/s00330-019-06079-x
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectiveTo investigate whether epicardial fat volume (EFV) quantified on ECG-nongated noncontrast CT (nongated-NCCT) could be used as a reliable and reproducible predictor for coronary artery disease (CAD).MethodsOne hundred seventeen subjects (65 men, mean age 66.611.9years) underwent coronary CT angiography (CCTA) and nongated-NCCT during a single session because of symptoms suggestive of CAD. Two observers independently quantified EFV on both images. Correlation between CCTA-EFV and nongated-NCCT-EFV was assessed using Pearson's correlation coefficient and Bland-Altman plots. Inter-observer agreement was analyzed using concordance correlation coefficients (CCC). Coronary risk factors including EFV were compared between CAD-positive (>50% stenosis) and CAD-negative groups. The association between EFV and CAD was analyzed using multivariate logistic regression. ROC analysis was performed, and AUC was compared with DeLong's method.ResultsSeventy-four subjects were diagnosed with CAD. An excellent correlation was noted between CCTA-EFV and nongated-NCCT-EFV (r=0.948, p<0.001), despite the systematic difference between both measurements (mean bias, 1.26). Inter-observer agreement was nearly perfect (CCC, 0.988 and 0.985 for CCTA and nongated-NCCT, respectively, p<0.001). Significant differences were noted between subjects with versus without CAD in age, hypertension, and EFV on both types of images (p0.026). Multivariate analysis revealed that increased EFV on CCTA (odds ratio 1.185, p=0.003) and nongated-NCCT (odds ratio 1.20, p=0.015) was independently associated with CAD. There was no significant difference between CCTA-EFV and nongated-NCCT-EFV in AUC for the prediction of CAD (0.659 vs 0.665, p=0.706).ConclusionsDespite the absence of ECG gating, EFV measured on NCCT may serve as a reproducible predictor for CAD with accuracy equivalent to EFV measured on CCTA.Key Points center dot Despite the absence of ECG gating, the EFV on NCCT provides nearly perfect inter-observer reproducibility and shows excellent correlation with measurements on gated CCTA.center dot EFV on nongated-NCCT may serve as an independent biomarker for predicting coronary artery disease with accuracy equivalent to that of EFV on gated CCTA.
引用
收藏
页码:3638 / 3646
页数:9
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