Evidence map›Paper›PMID 42000984›Full record

ArticleInsights into imaging2026

Development and validation of fat-corrected virtual MR elastography to assess fibrosis stage in metabolic dysfunction-associated steatotic liver disease.

Jie Yuan, Xinxin Xu, Fuhua Yan, Zhiwei Qin, Huamei Yan, Wenjie Yang, Huimin Lin

Erratum issuedAbstract read
In one paragraph

Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jie Yuan *Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xinxin Xu *Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fuhua YanDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhiwei QinMR Research Collaboration, Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China.
Huamei YanClinical Research Center, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Wenjie YangDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Lisa_ywj@163.com.
Huimin LinDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. lhm12362@rjh.com.cn.ORCID http://orcid.org/0000-0001-8784-0472

Funding

National Natural Science Foundation of China 81901694National Natural Science Foundation of China and the Medical Technology Young Talent 81901694Shanghai Explorer Program 21TS1400600
6 · The paper itself

Abstract

objectivesThis study aimed to develop and validate a fat-corrected virtual magnetic resonance elastography (FC-vMRE) framework based on diffusion-weighted imaging (DWI) to assess liver fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). MATERIALS AND

methodsA total of 463 MASLD patients underwent multi-b-values (0-1500 s/mm²) DWI acquisition, proton density fat fraction (PDFF), and conventional magnetic resonance elastography (MRE). Apparent diffusion coefficient (ADC) parameters were calculated with or without fat correction (based on PDFF). Using the training cohort (n = 361), ADC-to-MRE formulas were derived to compute virtual MRE (vMRE) and FC-vMRE. In the validation cohort (n = 102, with biopsy), the diagnostic performance of vMRE, FC-vMRE, and MRE for fibrosis staging was compared.

resultsADC

conclusionFC-vMRE provides a clinically promising alternative requiring only standard MRI equipment, effectively correcting for fat-related confounding in MASLD, and demonstrating encouraging diagnostic concordance with MRE and histology. This approach shows potential for broader clinical implementation. CRITICAL RELEVANCE STATEMENT: Fat-corrected virtual MRE using diffusion-weighted imaging provides promising fibrosis staging accuracy to conventional magnetic resonance elastography in metabolic dysfunction-associated steatotic liver disease patients without requiring specialized hardware. KEY POINTS: Fat infiltration confounds diffusion measurements in metabolic steatotic liver disease. Fat-corrected virtual MRE showed superior agreement with standard MRE. Hardware-free fibrosis assessment enables accessible liver stiffness measurement.

Indexed as

Diffusion-weighted imagingFat correctionMetabolic dysfunction-associated steatotic liver diseaseVirtual magnetic resonance elastography

Identifiers

PMID42000984
PMCPMC13091820

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.