Evidence map›Paper›PMID 41642476›Full record

ArticleHepatology international2026

Dual elastography ultrasound for classifying metabolic dysfunction-associated steatotic liver disease: a cross-sectional study within a prospective cohort.

Sitong Chen, Yuejuan Gao, GuangWen Cheng, FanKun Meng, Ying Zheng, Bo Zhang, Jie Chen, Yao Zhang, Zhiyong Yin, Hong Yang and 12 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Hepatology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Sitong Chen *Department of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Yuejuan Gao *Department of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
GuangWen Cheng *Departments of Ultrasound, Huashan Hospital, Fudan University, Shanghai, China.
FanKun MengDepartments of Ultrasound, Beijing Institute of Hepatoligy, Beijing Youan Hospital Capitial Medical University, Beijing, China.
Ying ZhengDepartments of Ultrasound, Beijing Institute of Hepatoligy, Beijing Youan Hospital Capitial Medical University, Beijing, China.
Bo ZhangDepartments of Ultrasound, China-Japan Friendship Hospital, Beijing, China.
Jie ChenDepartments of Ultrasound, China-Japan Friendship Hospital, Beijing, China.
Yao ZhangDepartments of Ultrasound, Beijing Ditan Hospital Capital Medical University, Beijing, China.
Zhiyong YinDepartments of Ultrasound, Beijing Ditan Hospital Capital Medical University, Beijing, China.
Hong YangDepartments of Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Peng LinDepartments of Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
ShuJing WeiDepartments of Ultrasound, The Fifth Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Xiting XuDepartments of Ultrasound, The Fifth Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Bulin ZhangDepartments of Ultrasound, Liuzhou People's Hospital, Guangxi, China.
Wei ZhangDepartments of Ultrasound, Liuzhou People's Hospital, Guangxi, China.
Lixin YangDepartments of Ultrasound, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Jiangsu, China.
Yadan TangDepartments of Ultrasound, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Jiangsu, China.
Xueling LiuDepartments of Ultrasound, The First Affiliated Hospital of Guangxi University of Chinses Medicine, Guangxi, China.
Dan WangDepartments of Ultrasound, The First Affiliated Hospital of Guangxi University of Chinses Medicine, Guangxi, China.
Hong DingDepartments of Ultrasound, Huashan Hospital, Fudan University, Shanghai, China. ding_hong@fudan.edu.cn.
Ping LiangDepartment of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China. liangping301@126.com.
Jie YuDepartment of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China. jiemi301@163.com.

Funding

National nature science foundation of China 82030047National nature science foundation of China 82325027National nature science foundation of China 92159305
6 · The paper itself

Abstract

backgroundThe binary diagnostic approach does not reflect the entire spectrum of metabolic dysfunction associated steatotic liver disease (MASLD. We used an elastography technology, dual elastography ultrasound (DEUS), to discriminate the different stages of MASLD.

methodThis prospective multicenter study was conducted from December 2020 to March 2022. All patients underwent DEUS scan, a liver biopsy, and a liver function laboratory test. The optimal model was developed (Model

resultsThe study included 312 patients in the derivation cohort and 135 in the validation cohort (7:3). Combining DEUS and clinical parameters, a ternary classification of MASLD in the validation cohort achieved a macro-average AUC of 0.858 (95% CI: 0.793, 0.925). The AUC for the diagnosis of MASH with ≥ F3 fibrosis of Model

conclusionMulticenter data analysis demonstrated DEUS' advanced ability in continuous stratification of MASLD, which will provide a low-cost, easily accessible, and accurate noninvasive tools (NIT) for MASLD.

Indexed as

Elasticity Imaging TechniquesFatty LiverNon-alcoholic Fatty Liver DiseaseAdultCross-Sectional StudiesFemaleHumansLiverMaleMiddle AgedProspective StudiesDual elastography ultrasoundFatty liverMetabolic dysfunction-associated steatotic liver diseaseNASH

Identifiers

PMID41642476

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