Evidence map›Paper›PMID 42665335›Full record

ReviewBMJ open gastroenterology2026

MRI in MASLD: technical foundations and guideline-based applications.

Jun Pu, Liang Zhu, Yanlei Wu, Fan Ping, Jia Xu, Kang Zhou, Xuan Wang, Jie Pan

Abstract readReview
In one paragraph

Review in BMJ open gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jun PuDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, China.ORCID http://orcid.org/0000-0003-2681-1613
Liang ZhuDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, China.
Yanlei WuDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Fan PingDepartment of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, China.
Jia XuDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, China.
Kang ZhouDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, China.
Xuan WangDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, China wangxuan99@pumch.cn panjie@pumch.cn.
Jie PanDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, China wangxuan99@pumch.cn panjie@pumch.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major global health burden and fibrosis stage remains the principal determinant of liver-related and overall outcomes. As management increasingly relies on non-invasive risk stratification and treatment monitoring, MRI has become an important quantitative platform for liver assessment. This narrative review summarises the technical foundations and guideline-based applications of MRI in MASLD. MRI proton density fat fraction quantifies hepatic steatosis, magnetic resonance elastography measures liver stiffness as a marker of fibrosis and corrected T1 provides information on fibroinflammatory activity. MRI-based composite models, including magnetic resonance elastography combined with the fibrosis-4 index and MRI-aspartate aminotransferase score, integrate imaging and biochemical biomarkers for risk assessment. Current international guidelines generally recommend a stepwise pathway beginning with high-risk case-finding and blood-based fibrosis assessment, followed by elastography or other imaging-based tests when indicated. MRI is not routinely recommended for universal first-line screening but may add value in indeterminate or discordant cases, suspected advanced fibrosis or at-risk metabolic dysfunction-associated steatohepatitis, treatment selection and longitudinal monitoring. By integrating technical evidence with recommendations from major international societies, this review provides a practical framework for the use of MRI across the MASLD care pathway.

Indexed as

Fatty LiverLiver CirrhosisMagnetic Resonance ImagingNon-alcoholic Fatty Liver DiseaseBiomarkersElasticity Imaging TechniquesHumansLiverPractice Guidelines as TopicRisk AssessmentBiomarkersABDOMINAL MRIHEPATIC FIBROSISHEPATOBILIARY RADIOLOGYLIVER IMAGING

Identifiers

PMID42665335
PMCPMC13536074

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.