Evidence map›Paper›PMID 41063238›Full record

ArticleCardiovascular diabetology2025

Association of epicardial fat volume index with coronary artery disease phenotypes based on anatomical and functional imaging: a linkage with the severity of coronary artery disease.

Chunbo Wang, Wenji Yu, Xiaoyu Yang, Fan Sun, Yu Tian, Yue Yue, Feifei Zhang, Xiaoliang Shao, Yunmei Shi, Bao Liu and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Chunbo WangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China.
Wenji YuDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China.
Xiaoyu YangDepartment of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Fan SunDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China.
Yu TianDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China.
Yue YueDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China.
Feifei ZhangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China.
Xiaoliang ShaoDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China.
Yunmei ShiDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China.
Bao LiuDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China.
Jianfeng WangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China.
Sijin LiDepartment of Nuclear Medicine, The First Hospital of Shanxi Medical University, Taiyuan, China.
Yuetao WangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, No. 185, Juqian Street, Changzhou, 213003, China. yuetao-w@163.com.

Funding

Changzhou Clinical Medical Center (2022)261, PI: Yuetao WangNational Natural Science Foundation of China 82272031, 81871381, PI: Yuetao Wang; No. U22A6008, PI: Sijin LiThe Science and Technology Plan Projects of Changzhou City (Special Program for Applied Basic Research) No. CJ20244010, PI: Wenji YuTop Talent of Changzhou "The 14th Five-Year Plan" High-Level Health Talents Training Project (2022)260, PI: Yuetao WangYoung Talent Development Plan of Changzhou Health Commission No. CZQM2023008, PI: Wenji Yu
6 · The paper itself

Abstract

backgroundEpicardial adipose tissue (EAT) plays an important role in the pathogenesis of coronary artery disease (CAD). The association between EAT and obstructive CAD or myocardial ischemia has been established, but its relationship with CAD phenotypes based on anatomical and functional imaging remains unclear.

methodsA total of 495 suspected CAD patients who underwent both single-photon emission computed tomography/computed tomography myocardial perfusion imaging (SPECT/CT MPI) and coronary angiography (CAG/CTA) were enrolled in this retrospective study. Epicardial fat volume (EFV) and epicardial fat volume indexed to body surface (EFVi) were measured on non-contrast CT. CAD phenotypes were categorized into 4 groups based on the presence or absence of obstructive CAD (any epicardial coronary diameter stenosis ≥ 50% by CAG/CTA) and myocardial ischemia (diagnosed by MPI): Group1 (non-obstructive CAD without ischemia, n = 165), Group2 (ischemia with non-obstructive CAD, INOCA, n = 69), Group3 (obstructive CAD without ischemia, n = 149), Group4 (obstructive CAD with ischemia, n = 112).

resultsBoth EFV and EFVi had an increasing trend across 4 groups [EFVi: median (interquartile range), cm

conclusionEFVi was correlated with the severity of CAD phenotype levels based on anatomical and functional imaging. EFVi had the strongest correlation with CAD phenotypes levels in diabetes subgroup. Notably, EFVi rather than EFV exhibits a distinct linkage with INOCA. EFVi was more effective to provide incremental value of differentiating CAD phenotypes over traditional cardiovascular risk factors than EFV in diabetes subgroup.

Indexed as

AdiposityCoronary Artery DiseaseCoronary StenosisEpicardial Adipose TissueMyocardial IschemiaAgedBody Surface AreaCoronary AngiographyCoronary VesselsDiagnosis, DifferentialFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedMyocardial Perfusion ImagingCoronary artery diseaseCoronary artery disease phenotypeEpicardial adipose tissueMyocardial ischemiaObstructive coronary artery disease

Identifiers

PMID41063238
PMCPMC12505754

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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 OpenQuestion graph.