Evidence mapPaperPMID 42344200Full record

ArticleThe Indian journal of radiology & imaging2026

Association of Pericardial Fat with Severity of Coronary Artery Disease.

Sunil Kumar K S, Pankaj Sharma, Barun Kumar, Udit Chauhan

Abstract read
In one paragraph

Article in The Indian journal of radiology & imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sunil Kumar K SDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Pankaj SharmaDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.ORCID 0000-0003-4088-1554
Barun KumarDepartment of Cardiology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Udit ChauhanDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity is a well-known risk factor for cardiovascular disease. Measurement of pericardial fat (PF) by multidetector computed tomography (MDCT) might have potential for early diagnosis and assessment of risk of coronary artery disease (CAD). Our study is the first study from India, wherein we have tried to find the association of PF with the severity of CAD. Aim and Objective: To evaluate the association of PF quantified by MDCT with the severity of CAD. Materials and Methods: This cross-sectional study was performed at a single-tertiary-care center over a period of 18 months, and included patients who referred for coronary computed tomography: (1) suspected case of CAD, (2) symptomatic patient with intermediate pretest probability of CAD, or uninterpretable electrocardiogram, or unable to exercise on stress test. Periprostatic fat volume (PFV) was quantified using semiautomated technique, for measuring the amount of fat during end-systolic phase. Patients who had evidence of CAD were considered "CAD positive" in this study. Observation and Results: A total of 87 patients were enrolled in this study. However, 7 patients were excluded due to motion artifacts and 80 patients (females, 27.5%, and males, 72.5%; mean age, 49.30 ± 12.27 years) were eligible for this study. PFV ranged from 28 to 547 mL, and the median value of PFV was around 100 mL. Conclusion: Our study demonstrated a significant association between PF and age/body mass index/risk factors such as diabetes or family history. Higher PF was strongly associated with calcium score and severity of stenosis on computed tomography coronary angiography. Thus, PF is a risk predictor in subclinical CAD patients.

Indexed as

coronary angiographycoronary artery calcium scorecoronary artery diseaseepicardial fat volumemultidetector computer tomographypericardial fat volume

Identifiers

PMID42344200
PMCPMC13290303

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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.