ArticleEuropean radiology2019
Epicardial fat volume measured on nongated chest CT is a predictor of coronary artery disease.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 40 citations in OpenAlex.
- Relationship Between Routine Preoperative Chest CT-Based Cardiac Parameters and Recanalization After Mechanical Thrombectomy in Patients with Acute Ischemic Stroke.Journal of clinical medicine · 2026Article
- The Relationship Between Left Atrial Epicardial Adipose Tissue Volume and Coronary Microvascular Dysfunction in Patients with Non-Obstructive Coronary Artery Disease.International journal of general medicine · 2026Article
- The Impact of Exercise Training Plus Dietary Interventions on Ectopic Fat in Population with Overweight/Obesity with and without Chronic Disease: A Systematic Review, Meta-analysis, and Metaregression of Randomized Clinical Trials.Current developments in nutrition · 2025Review
- Epicardial Fat Tissue: A Potential Marker for Coronary Microvascular Dysfunction.Journal of the American Heart Association · 2025Article
- Opportunistic screening at chest computed tomography: literature review of cardiovascular significance of incidental findings.Cardiovascular diagnosis and therapy · 2023Review
- Quantification of epicardial fat volume using low-dose cardiac scan in patients with low calcium score.Quantitative imaging in medicine and surgery · 2023Article
- Epicardial fat volume is related to the degree of cardiac allograft vasculopathy.European radiology · 2023Article
- Comparison of epicardial adipose tissue volume quantification between ECG-gated cardiac and non-ECG-gated chest computed tomography scans.BMC cardiovascular disorders · 2022Article
- Epicardial Adipose Tissue: A Novel Potential Imaging Marker of Comorbidities Caused by Chronic Inflammation.Nutrients · 2022Review
- Measurement of epicardial adipose tissue using non-contrast routine chest-CT: a consideration of threshold adjustment for fatty attenuation.BMC medical imaging · 2022Article
- Association of epicardial adipose tissue with different stages of coronary artery disease: A cross-sectional UK Biobank cardiovascular magnetic resonance imaging substudy.International journal of cardiology. Heart & vasculature · 2022Article
- Role of anatomical location, cellular phenotype and perfusion of adipose tissue in intermediary metabolism: A narrative review.Reviews in endocrine & metabolic disorders · 2022Review
- Dual-layer spectral detector CT to study the correlation between pericoronary adipose tissue and coronary artery stenosis.Journal of cardiothoracic surgery · 2021Article
- Ectopic Fat Accumulation in Pancreas and Heart.Journal of clinical medicine · 2021Review
- Article
- Epicardial adipose tissue characteristics and CT high-risk plaque features: correlation with coronary thin-cap fibroatheroma determined by intravascular ultrasound.The international journal of cardiovascular imaging · 2020Article
- Novel imaging biomarkers: epicardial adipose tissue evaluation.The British journal of radiology · 2020 · on this mapReview
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 66.6 ± 11.9 years) 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 (p ≤ 0.026). 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: • 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. • 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.
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