Evidence map›Paper›PMID 41198864›Full record

ArticleEuropean radiology2026

Ultrasound-based fat fraction for detection of hepatic steatosis and quantification of liver fat content using liver biopsy as the reference standard.

Chunya Ji, Yixuan He, Yunling Fan, Anqi Zhu, Hong Han, Yao Miao, Jifeng Yu, Yuting Shen, Siming Chen, Yuli Zhu and 2 more

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Article in European radiology, 2026. 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

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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

12 authors.

Chunya Ji *Department of Medical Ultrasound, Shanghai Tenth Hospital, School of Clinical Medicine of Nanjing Medical University, Shanghai, China.
Yixuan He *School of Data Science, Fudan University, Shanghai, China.
Yunling FanDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, China.
Anqi ZhuDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, China.
Hong HanDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, China.
Yao MiaoDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, China.
Jifeng YuDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, China.
Yuting ShenDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, China.
Siming ChenSchool of Data Science, Fudan University, Shanghai, China.
Yuli ZhuDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, China. zhu.yuli@zs-hospital.sh.cn.
Huixiong XuDepartment of Medical Ultrasound, Shanghai Tenth Hospital, School of Clinical Medicine of Nanjing Medical University, Shanghai, China. xuhuixiong2022@126.com.ORCID http://orcid.org/0000-0002-9878-8590
Haohao YinDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, China. yin.haohao@zs-hospital.sh.cn.

Funding

China Postdoctoral Science Foundation 2023TQ0073Health Commission Health Sector Clinical Research Special Clinical Project 202340087National Nature Science Foundation of China 81927801National Nature Science Foundation of China 82302206National Nature Science Foundation of China 82430064Scientific Research and Development, Fund of Zhongshan Hospital of Fudan University 2022ZSQD07Shanghai Sailing Program 23YF144160Suzhou Gusu Health Talents Program GSWS2023027
6 · The paper itself

Abstract

objectivesTo analyze the diagnostic performance of tissue attenuation imaging (TAI), tissue scatter-distribution imaging (TSI) and ultrasound-based fat fraction (USFF) in suspected metabolic-associated fatty liver disease (MASLD), using histopathological hepatic steatosis as the reference standard. MATERIALS AND

methodsThis was a retrospective analysis of prospectively recruited participants with suspected MASLD from August 2022 to November 2023. TAI, TSI and USFF were measured. Spearman correlation analysis was used to evaluate the correlation of TAI, TSI and USFF with hepatic steatosis. The diagnostic performance for detecting hepatic steatosis was evaluated by multiclass or binary receiver operating characteristic (ROC) curves.

resultsA total of 264 participants were enrolled, including 227 with biopsy-confirmed MASLD and 37 with normal liver biopsy results. Compared with TAI and TSI, USFF had a better positive correlation with hepatic steatosis in the overall set (r

conclusionsUSFF has a good correlation with histopathological hepatic steatosis grade. TAI, TSI and USFF might be potential quantitative diagnostic tools for detecting mild hepatic steatosis in MASLD, though further validation in larger and more balanced cohorts is needed. KEY POINTS: Question How is the diagnostic performance of quantitative ultrasound parameters in suspected metabolic dysfunction-associated steatotic liver disease using liver biopsy as the reference standard? Findings Tissue attenuation imaging, tissue scatter-distribution imaging and ultrasound-based fat fraction show promising diagnostic potential for mild hepatic steatosis in metabolic dysfunction-associated steatotic liver disease. Clinical relevance Tissue attenuation imaging, tissue scatter-distribution imaging, and ultrasound-based fat fraction might be potential noninvasive tools for detecting mild hepatic steatosis and conducting large-scale follow-ups in metabolic dysfunction-associated steatotic liver disease.

Indexed as

Adipose TissueFatty LiverLiverAdultAgedBiopsyFemaleHumansMaleMiddle AgedReference StandardsRetrospective StudiesUltrasonographyHepatic steatosisLiver biopsyMetabolic dysfunction-associated steatotic liver diseaseQuantitative ultrasoundUltrasound-based fat fraction

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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.