Association between abdominal fat parameters derived from quantitative CT and coronary artery calcification in middle-aged and elderly adults
10.3760/cma.j.cn114798-20250407-00281
- VernacularTitle:基于定量CT获取的腹部脂肪相关指标与中老年人冠状动脉钙化的关联及其诊断价值
- Author:
Yaqing LI
1
;
Li LI
;
Xinxin JIANG
;
Wenqi BAI
;
Mengyao WANG
;
Yanan ZHAO
;
Weijun QIAN
Author Information
1. 新乡医学院附属开封市中心医院医学影像科，开封 475000
- Publication Type:Journal Article
- Keywords:
Coronary disease;
Atherosclerosis;
Computed tomography, CT;
Visceral fat;
Subcutaneous fat
- From:
Chinese Journal of General Practitioners
2025;24(9):1136-1142
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the association between abdominal fat-related indicators derived from quantitative computed tomography (QCT) and coronary artery calcification (CAC) in middle-aged and elderly individuals, as well as the diagnostic value of these indicators.Methods:This cross-sectional study enrolled middle-aged and elderly participants who underwent health check-ups at Kaifeng Central Hospital between January and December 2024. Participants were divided into a CAC group and a non-CAC group based on the presence or absence of CAC. The CAC group was then stratified into mild, moderate, and severe subgroups according to CAC severity. General clinical data were collected for all participants. All subjects underwent one-stop QCT scanning of the chest and abdomen. An automated abdominal fat analysis system was used to identify fat distribution regions. If accurate identification was not possible, a semi-automated segmentation algorithm combined with manual correction was applied instead. Two physicians performed the measurements independently, and inter-observer consistency was assessed. The average values were calculated to obtain visceral fat area (VFA) and subcutaneous fat area (SFA). The ratio of visceral fat area to subcutaneous fat area (VFA/SFA) was also computed. Multivariate logistic regression analysis was performed to identify the factors associated with CAC in middle-aged and elderly individuals. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of these indicators for CAC. DeLong′s test was used to compare the differences in the area under the curve ( AUC). Results:A total of 252 middle-aged and elderly individuals were included, with a median age of 61 (interquartile rang: 59, 69) years. Of these individuals, 188(74.6%) were males. Among them, 172 were classified into the CAC group and 80 into the non-CAC group. Multivariate logistic regression analysis revealed that VFA, VFA/SFA ratio, age, low-density lipoprotein cholesterol(LDL-C), and hypertension were independently associated with CAC in middle-aged and elderly individuals (all P<0.05). The mild, moderate, and severe CAC subgroups comprised 78, 51, and 43 participants, respectively. Analysis of variance (ANOVA) demonstrated that VFA and VFA/SFA increased with CAC severity, and there were statistically significant differences between the subgroups (all P<0.05). ROC curve analysis showed that the AUCs of VFA and VFA/SFA for diagnosing CAC were 0.841 and 0.810, respectively, with no significant difference between them ( P>0.05). The optimal cutoff values were 177.45 cm2 for VFA (sensitivity: 83.1%, specificity: 72.5%) and 1.592 for VFA/SFA (sensitivity: 65.7%, specificity: 83.7%). For the diagnosis of moderate-to-severe CAC, the AUCs of VFA and VFA/SFA were 0.765 and 0.761, respectively ( P>0.05 for comparison), with cutoff values of 231.75 cm2 (sensitivity: 61.7%, specificity: 83.3%) and 1.962 (sensitivity: 64.9%, specificity: 80.8%). Conclusion:Abdominal VFA and VFA/SFA derived from QCT are independently associated with the presence of CAC in middle-aged and elderly individuals, demonstrating good diagnostic performance for both overall CAC and moderate-to-severe CAC.
