Evidence map›Paper›PMID 42579768›Full record

ArticleHepatology communications2026

Simplified definition and imaging-based stratification of at-risk MASH using magnetic resonance elastography.

Jiahui Li, Hao Wu, Kevin J Glaser, Fang-Shu Ou, Armando Manduca, Sudhakar K Venkatesh, Claude Sirlin, Rohit Loomba, Vijay H Shah, Richard L Ehman and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Hepatology communications, 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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0citing papers in PubMed
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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

12 authors.

Jiahui LiDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-4889-0714
Hao WuDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0009-0007-2278-057
Kevin J GlaserDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-7464-5042
Fang-Shu OuDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-1267-8735
Armando ManducaDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-9411-5671
Sudhakar K VenkateshDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-7514-1030
Claude SirlinDepartment of Radiology, University of California at San Diego, La Jolla, California, USA.ORCID 0000-0002-6639-9072
Rohit LoombaDivision of Gastroenterology and Hepatology, Department of Medicine, University of California at San Diego, La Jolla, California, USA.ORCID 0000-0002-4845-9991
Vijay H ShahDivision of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-7620-573
Richard L EhmanDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-7041-5074
Alina M AllenDivision of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-8393-8410
Meng YinDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-6778-192

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Pediatric Trials in Non-Alcoholic Steatohepatitis (NASH)U01DK061734 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2002 to 2026
$24.4M
Tissue-specific roles of FXR in CVD and NASHP01HL147835 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT · 2020 to 2024
$12.2M
San Diego Digestive Diseases Research CenterP30DK120515 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Bernd G. Schnabl · 2019 to 2026
$10.8M
HIV MASLD Clinical Research Network (HCRN)R01DK121378 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI NAGA P CHALASANI, ROHIT LOOMBA · 2020 to 2026
$8.7M
Comprehensive noninvasive assessment of liver histopathology in nonalcoholic fatty liver disease (NAFLD) via magnetic resonance imaging, cytometry and elastography (MR-ICE)R01EB017197 · NIBIB · MAYO CLINIC ROCHESTER · PI YIN, MENG · 2014 to 2025
$4.3M
Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
Molecular Mechanisms of Liver Fibrosis (Diversity Supplement)R37AA021171 · NIAAA · MAYO CLINIC ROCHESTER · PI VIJAY H. SHAH · 2019 to 2026
$3.0M
San Diego Cirrhosis Clinical Research NetworkU01DK130190 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2021 to 2026
$2.3M
Non-invasive screening of diabetics for advanced fibrosis due to NAFLDR01DK124318 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT · 2020 to 2022
$1.7M
NAFLD Diagnosis and OutcomesR01DK134448 · NIDDK · MAYO CLINIC ROCHESTER · PI Alina M Allen · 2024 to 2026
$1.5M
NCATS NIH HHS UL1 TR001442NHLBI NIH HHS P01 HL147835NIAAA NIH HHS R37 AA021171NIBIB NIH HHS R01 EB017197NIBIB NIH HHS R37 EB001981NIDDK NIH HHS P30 DK120515NIDDK NIH HHS R01 DK106419NIDDK NIH HHS R01 DK121378NIDDK NIH HHS R01 DK124318NIDDK NIH HHS R01 DK134448NIDDK NIH HHS U01 DK061734NIDDK NIH HHS U01 DK130190
6 · The paper itself

Abstract

backgroundAccurate identification of patients with metabolic dysfunction-associated steatohepatitis (MASH) at risk of disease progression (at-risk MASH) is critical for guiding resmetirom and semaglutide therapy. Inconsistent definitions of at-risk MASH complicate clinical risk classification and comparisons across studies. This study aimed to standardize the definition of at-risk MASH and propose optimized MRE-based liver stiffness (LS-MRE) cutoffs to improve noninvasive risk stratification and better guide pharmacotherapy.

methodsIn this prospective study, 413 patients with suspected or diagnosed MASLD from two medical centers underwent liver biopsy and MRE.

resultsA simplified definition of at-risk MASH (MASH with fibrosis stage≥2) identified a broader group of patients requiring clinical attention than a stricter definition requiring NAFLD Activity Score≥4 with ≥1 point in steatosis, inflammation, and ballooning (n=122 vs. 77). LS-MRE alone showed the highest diagnostic accuracy for identifying at-risk MASH using the simplified definition (AUC 0.91 [0.87, 0.95]) and cirrhosis (AUC 0.93 [0.88, 0.99]), compared with FIB-4 and individual laboratory parameters (AST, ALT, and platelet count) (p<0.01 for all, paired DeLong tests). Optimized LS-MRE cutoffs (2.8-6.4 kPa) captured 25 additional biopsy-proven pharmacotherapy candidates (28% of all eligible patients) compared to AASLD guidelines-recommended cutoffs (3.1-4.4 kPa), improving sensitivity (80% vs. 50%) with acceptable specificity (73% vs. 88%).

conclusionsA simplified definition of at-risk MASH enables broader identification of treatment candidates. LS-MRE demonstrates excellent diagnostic performance and improves noninvasive risk stratification when paired with optimized cutoffs. These findings support the use of MRE to guide resmetirom and semaglutide eligibility and improve access to emerging therapies.

Indexed as

Elasticity Imaging TechniquesFatty LiverNon-alcoholic Fatty Liver DiseaseAdultBiopsyDisease ProgressionFemaleHumansLiverLiver CirrhosisMaleMiddle AgedProspective StudiesRisk AssessmentSemaglutideSemaglutidefibrosisNASHnoninvasiveresmetiromsemaglutide

Identifiers

PMID42579768
PMCPMC13466114

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Registered trials

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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.