ArticleExperimental and therapeutic medicine2020
Cardiac CT scanning in coronary artery disease: Epicardial fat volume and its correlation with coronary artery lesions and left ventricular function.
Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Epicardial Adipose Tissue Shows No Significant Incremental Value for Discriminating Coronary Artery Disease in Adults Aged 80 Years and Older: A Machine Learning Analysis.Journal of cardiovascular development and disease · 2026Article
- Epicardial Fat Thickness as a Marker of Coronary Artery Disease Severity and Ischemic Burden: A Prospective Echocardiographic Study.Journal of clinical medicine · 2026Article
- Sex-specific association of epicardial adipose tissue with coronary artery disease in an Indian cohort: a cross-sectional study.International journal of cardiology. Cardiovascular risk and prevention · 2025Article
- Influence of specific components of pericardial fat on coronary high-risk plaque prediction.Quantitative imaging in medicine and surgery · 2025Article
- The correlation of pericoronary adipose tissue with coronary artery disease and left ventricular function.BMC cardiovascular disorders · 2022Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronary artery disease (CAD) is a major and common disease that poses a threat to human health. Recent studies suggested that epicardial fat may have an important role in the pathogenesis of CAD. Therefore, the association between epicardial fat volume (EFV) and left ventricular function with CAD was investigated in the present study. A total of 61 patients with suspected CAD who underwent CT scanning were enrolled. Baseline data, parameters of left heart function and EFV of the subjects were collected and analyzed. The degree of coronary artery lesions was assessed using the Gensini score. Pearson's correlation analysis and a logistic regression model were applied to assess the association between EFV and risk factors for CAD, the Gensini score and left ventricular function index. A total of 29 female and 32 male subjects with a median age of 63 years were enrolled. The median body mass index (BMI) of the subjects was 23.37 kg/m
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