Evidence map›Paper›PMID 41646166›Full record

ArticleFrontiers in nutrition2026

Body roundness index: superior predictors of intramuscular fat infiltration in general population.

Rui Yu, Yu Wang, Yiping Zhang, Xifa Gao, Dingzhe Zhang, Jianhua Wang, Xiao Chen

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Article in Frontiers in nutrition, 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

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.

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

7 authors.

Rui Yu *Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yu Wang *Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yiping ZhangDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Xifa GaoDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Dingzhe ZhangDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Jianhua WangDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Xiao ChenDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Body mass index (BMI) could not exactly reflect body fat distribution. Body Roundness Index (BRI) may be a better marker reflecting the ratio of total body fat to visceral fat. This study aimed to show the association between BRI and intramuscular fat infiltration (IMFI), and compare the ability of the BRI and BMI to predict IMFI in general populations. Methods: The assessment of IMFI was conducted via both computed tomography (CT) and magnetic resonance imaging (MRI). In the CT cohort, IMFI was defined as CT attenuation < 37.5 Hounsfield Unit. In the MRI cohort, the IMFI was evaluated by fat fraction. Those with a fat fraction higher than the third quartile of the overall population were defined as the IMFI. Logistic regression analysis, Spearman's correlation, stratified analysis, and receiver operating characteristic (ROC) curve analysis were performed to investigate the associations between BMI, BRI and the IMFI. Results: A total of 1,268 participants were included in the CT cohort and 198 subjects in MRI cohort. The subjects with high BRI (≥5.5) had higher prevalence of IMFI than those with BRI < 5.5 (67.3% vs. 25.4%, Conclusion: Compared with BMI, the BRI is a better index to evaluate the IMFI, especially in the female population.

Indexed as

body mass indexbody roundness indexfat fractionintramuscular fat infiltrationmagnetic resonance imaging

Identifiers

PMID41646166
PMCPMC12867795

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