ReviewQuantitative imaging in medicine and surgery2024
The role of cardiac adipose tissue in coronary artery disease: a narrative review of cardiac imaging studies.
Review in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Role of Echocardiography in the Assessment of Epicardial Adipose Tissue: A Systematic Review and Meta-analysis.Current obesity reports · 2026Pooled it
- Prognostic impact of epicardial fat volume, anatomical and functional imaging across the cardiovascular risk spectrum in patients with suspected coronary artery disease: a single-center retrospective cohort study.Quantitative imaging in medicine and surgery · 2026Article
- Epicardial adipose tissue density, myocardial fibrosis, and heart failure with preserved ejection fraction in postmenopausal women: a mediation analysis.Quantitative imaging in medicine and surgery · 2026Article
- Plaque characteristics and parameters derived from coronary computed tomography angiography for predicting major adverse cardiovascular events in patients with and without diabetes.Quantitative imaging in medicine and surgery · 2026Article
- Pericardial Fat Tissue as a Predictor of the Severity of Acute Coronavirus Infection COVID-19.Journal of clinical medicine research · 2025Article
- Epicardial adipose tissue provides incremental value in predicting major adverse cardiac events in systemic sclerosis patients without pulmonary arterial hypertension beyond traditional risk factors.Quantitative imaging in medicine and surgery · 2025Article
- Diagnostic potential of pericoronary adipose tissue mean attenuation for coronary atherosclerotic heart disease: a comparative analysis with the fat attenuation index.Quantitative imaging in medicine and surgery · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: Cardiac adipose tissue's (CAT) role in the pathogenesis of coronary artery disease (CAD) has become a hot topic in the literature in recent years. Cardiac computed tomography (CCT), a cutting-edge imaging modality, has become vital in quantifying and characterizing CAT. CAT is divided into paracardial adipose tissue (PAT), epicardial adipose tissue (EAT), and pericoronary adipose tissue (PCAT). Despite numerous studies investigating the association of EAT and PCAT with CAD, their connection remains equivocal. In this review, we clarify the relationship between EAT and PCAT with atherosclerotic burden, high-risk plaque, major adverse cardiovascular events, and the prediction of CAD through the use of CCT. Methods: A thorough literature research spanning from January 2004 to May 2024 of the PubMed database was conducted. Only publications in English which included reviews, clinical trials, meta-analyses, and systematic reviews on CAT's association with CAD were considered. The 63 articles in the review honed in on the influence of CAT metrics obtained mainly by CCT with multiple stages of CAD. Key Content and Findings: Current evidence supports the interaction between dysfunctioning EAT and PCAT and the release of several molecules within the neighboring coronary arteries which is linked with the development and progression of CAD. EAT is related to coronary plaque synthesis. PCAT underlines ongoing inflammation within the plaques. CAT evaluation provides significant incremental value compared to existing assessment methods. It enables enhanced prognostic judgment and further stratified management of CAD patients. Conclusions: CAT metrics have the potential to become future biomarkers of CAD. Additional investigations are required to explore the potential of these metrics as composite scores CAD risk prediction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.