Evidence map›Paper›PMID 41801376›Full record

ArticleAbdominal radiology (New York)2026

MRI-derived visceral adipose tissue quantification enhances stratification of nonalcoholic steatohepatitis severity and fibrosis in obesity.

Xin Yu, Ying-Long Li, You-Zhen Feng, Zhong-Yuan Cheng, Bin Sun, Xiang-Ran Cai

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Article in Abdominal radiology (New York), 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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5 · Who and what money

Authors and funding

6 authors.

Xin YuDepartment of Interventional Radiology, Guizhou Provincial People's Hospital, Guiyang, China.
Ying-Long LiDepartment of Interventional Radiology, Guizhou Provincial People's Hospital, Guiyang, China.
You-Zhen FengMedical Imaging Centre, First Affiliated Hospital of Jinan University, Guangzhou, China.
Zhong-Yuan ChengMedical Imaging Centre, First Affiliated Hospital of Jinan University, Guangzhou, China.
Bin SunDepartment of Interventional Radiology, Guizhou Provincial People's Hospital, Guiyang, China. bingosun1221@163.com.
Xiang-Ran CaiMedical Imaging Centre, First Affiliated Hospital of Jinan University, Guangzhou, China. caixran@jnu.edu.cn.

Funding

Guizhou Provincial Science and Technology Projects ZK[2023]YB206Medical Research Union Found for High-quality health development of Guizhou Province 2024GZYXKYJJXM0074Science and Technology Projects in Guangzhou 2023A03J0612
6 · The paper itself

Abstract

purposeVisceral adiposity is a key factor in the development of nonalcoholic steatohepatitis (NASH), yet its quantitative relationship with fibrotic progression remains inadequately characterized. This study aimed to assess the diagnostic performance of MRI-derived visceral fat content (VFC) for stratifying NASH severity and fibrosis in obese individuals.

methodsIn this retrospective, single-center study, 138 obese patients (body mass index ≥ 30 kg/m²) who underwent liver biopsy and chemical shift-encoded MRI (iterative decomposition of water and fat with echo asymmetry and least-squares estimation quantitation (IDEAL-IQ)) between April 2020 and September 2022 were included. Fibrotic NASH (Fibro-NASH) was defined histologically as a NAFLD activity score (NAS) ≥ 4 and fibrosis stage ≥ 2. MRI-derived metrics, including VFC and visceral fat area (VFA), were compared between groups. Multivariable logistic regression and receiver operating characteristic (ROC) analyses were performed.

resultsPatients with Fibro-NASH had significantly lower median VFC compared to those without Fibro-NASH (P < 0.001). VFC was identified as an independent predictor of Fibro-NASH (odds ratio (OR) = 0.51, 95% CI: 0.26-0.97). A model combining VFC, muscle fat content, and aspartate aminotransferase exhibited the highest predictive accuracy for Fibro-NASH (AUC = 0.89; 95% CI, 0.80-0.97), outperforming models using VFA and VFC alone (both P < 0.05).

conclusionMRI-derived VFC represents a promising, noninvasive biomarker for assessing NASH severity and its progression to Fibro-NASH in obesity. Integrating VFC into clinical practice may enhance risk stratification and facilitate timely interventions for advanced liver disease.

Indexed as

Intra-Abdominal FatLiver CirrhosisMagnetic Resonance ImagingNon-alcoholic Fatty Liver DiseaseObesityAdultFemaleHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexFibrosisMRI-PDFFNonalcoholic steatohepatitisObesityVisceral fat content

Identifiers

PMID41801376

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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.