Evidence map›Paper›PMID 42393558›Full record

ArticleBMC medical imaging2026

Qualitative and quantitative assessment of intratumoral fat using chemical-shift MRI for predicting histological grade of hepatocellular carcinoma.

Xinyu Dai, Qizheng Wang, Yanjiao Hao, Juxiang Ye, Limin Feng, Jun Xu, Jing Su, Dongxu Ji, Can Liu, Ning Lang

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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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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xinyu DaiDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China.
Qizheng WangDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China.
Yanjiao HaoDepartment of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, 100191, China.
Juxiang YeDepartment of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, 100191, China.
Limin FengDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China.
Jun XuDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China.
Jing SuDepartment of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, 100191, China.
Dongxu JiDepartment of Radiology, Peking University international Hospital, Changping District, Beijing, 100096, China.
Can LiuDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China.
Ning LangDepartment of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China. langning800129@126.com.ORCID https://orcid.org/0000-0003-1860-2918

Funding

Beijing Medical Award Foundation YXJL-2025-0483-0215
6 · The paper itself

Abstract

objectivesTo evaluate intratumoral fat in hepatocellular carcinoma (HCC) using both qualitative and quantitative approaches based on routine chemical-shift magnetic resonance imaging (MRI), and to investigate its potential value in predicting histological grade.

methodsThis retrospective study included 282 patients with pathologically confirmed HCC between January 2015 and November 2025. Tumors were classified into low-grade and high-grade groups according to the Edmondson-Steiner grade. Intratumoral fat was assessed on in-phase and opposed-phase MRI images. For qualitative assessment, intratumoral fat pattern was categorized as none, heterogeneous, or homogeneous. For quantitative assessment, regions of interest were manually delineated on three consecutive slices showing the largest tumor area, and the mean fat fraction (FF) was calculated. Logistic regression analysis was performed to identify risk factors associated with high-grade HCC. Furthermore, models incorporating clinicoradiological factors were developed for the preoperative prediction of HCC histological grade.

resultsHomogeneous intratumoral fat was more frequently observed in low-grade tumors than in high-grade tumors, and FF was significantly higher in low-grade tumors than in high-grade tumors. Both homogeneous intratumoral fat (odds ratio [OR] = 0.230 [0.097-0.514], P = 0.001) and FF (OR = 0.861 [0.811-0.907], P < 0.001) were identified as independent predictors of high-grade HCC. When combined with other clinicoradiological factors, the FF-based model showed better performance than the intratumoral fat pattern-based model (area under the receiver operating characteristic curve: 0.792 vs. 0.744, P = 0.024).

conclusionIntratumoral fat assessed using chemical-shift imaging provides a simple and noninvasive imaging biomarker for predicting the histological grade of HCC. Both homogeneous intratumoral fat and higher FF were associated with a lower risk of high-grade HCC, and the model based on quantitative assessment outperformed that based on qualitative evaluation.

Indexed as

Adipose TissueCarcinoma, HepatocellularLiver NeoplasmsMagnetic Resonance ImagingAdultAgedFemaleHumansMaleMiddle AgedNeoplasm GradingRetrospective StudiesChemical-shift imagingHepatocellular carcinomaHistological gradeIntratumoral fatMagnetic resonance imaging

Identifiers

PMID42393558
PMCPMC13628716

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