Evidence map›Paper›PMID 42106645›Full record

ArticleBMC medical imaging2026

A study on the correlation between cardiac magnetic resonance characteristics and myocardial fibrosis in overweight and obese individuals.

Lulu Liu, Yuheng Yao, Hongqing Yu, Jian Zhai

Abstract read
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Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lulu LiuRadiology Department, The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital of Wannan Medical University), Wuhu, 241001, China.
Yuheng YaoRadiology Department, The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital of Wannan Medical University), Wuhu, 241001, China.
Hongqing YuRadiology Department, The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital of Wannan Medical University), Wuhu, 241001, China.
Jian ZhaiRadiology Department, The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital of Wannan Medical University), Wuhu, 241001, China. yjszhaij@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOverweight and obesity are major risk factors for adverse cardiovascular outcomes. Cardiac magnetic resonance (CMR) can detect subclinical cardiac dysfunction through myocardial strain and quantify epicardial adipose tissue volume (EATV). This study aimed to investigate the differences in cardiac structure, function, myocardial strain, and EATV among individuals with normal weight, overweight, and obesity using CMR, and to evaluate their value for myocardial fibrosis (LGE positivity).

methodsIn this study, 192 subjects undergoing CMR were classified into control (n = 77), overweight (n = 37), and obesity (n = 78) groups based on body mass index (BMI). CMR-derived parameters included cardiac function, left ventricular global/segment strain (radial, circumferential, longitudinal), left atrial strain, EATV, and late gadolinium enhancement (LGE). Differences among groups were compared. Spearman correlation analyzed relationships between BMI, EATV, and strain parameters. Logistic regression and ROC curve analyses assessed factors independently associated with LGE positivity.

resultsCompared to the control group, the overweight and obesity groups showed significantly increased left ventricular volumes, mass, and EATV, but decreased left ventricular ejection fraction (LVEF), global longitudinal strain (GLS), and left atrial reservoir strain (εs), with the most pronounced changes in the obesity group. EATV was highly correlated with BMI (r = 0.72). Both BMI and EATV showed low-to-moderate inverse correlations with impaired myocardial strain parameters (|r| = 0.22-0.31). Multivariate logistic regression identified higher BMI (OR = 1.22, 95% CI:1.07-1.40), larger EATV (OR = 1.03, 95% CI:1.01-1.04), and lower left ventricular apical segment radial strain (A-PRS) (OR = 0.93, 95% CI:0.87-0.98) as factors independently associated with LGE positivity.

conclusionsOverweight and obesity are associated with adverse cardiac remodeling, subclinical systolic dysfunction, impaired myocardial strain, and increased EATV. BMI, EATV, and A-PRS are factors independently associated with myocardial fibrosis. These findings underscore the presence of early cardiac alterations in the overweight stage, highlighting the need for early cardiovascular risk assessment in this population.

Indexed as

CardiomyopathiesMagnetic Resonance Imaging, CineMyocardiumObesityOverweightAdultBody Mass IndexEpicardial Adipose TissueFemaleFibrosisGlobal Longitudinal StrainHumansMaleMiddle AgedCardiac magnetic resonanceMyocardial fibrosisMyocardial strainObesityOverweight

Identifiers

PMID42106645
PMCPMC13326374

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.