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Journal article : Review

Imaging Biomarkers in Metabolic Dysfunction Associated Steatotic Liver Disease

Abstract:
Purpose of Review: Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) is the most common chronic liver disease in developed countries, affecting up to one third of adults. While the majority of individuals experience a benign course, a significant subset develop progressive liver disease and complications. This review aims to evaluate the role of non-invasive magnetic resonance (MR) biomarkers in assessing the key features of MASLD, namely steatosis, steatohepatitis, and fibrosis. Recent Findings: Emerging evidence demonstrates that MR techniques, including magnetic resonance elastography (MRE), LiverMultiScan (LMS), and proton density fat fraction (PDFF), provide accurate and reproducible measures of fibrosis, steatosis, and disease activity. MRE shows the highest diagnostic accuracy for fibrosis staging, LMS has been validated in population studies, and PDFF is increasingly recognized as a predictor of treatment response. Summary: MR-based biomarkers are promising non-invasive tools for diagnosis, risk stratification, and monitoring of MASLD. They may reduce reliance on liver biopsy in clinical practice and trials, though further validation of standardized thresholds and cost-effectiveness analyses are still needed.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s11901-025-00711-9

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Radcliffe Department of Medicine
Sub department:
RDM-Strategic
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author


Publisher:
Springer
Journal:
Current Hepatology Reports More from this journal
Volume:
24
Issue:
1
Article number:
37
Publication date:
2025-11-13
Acceptance date:
2025-10-24
DOI:
EISSN:
2195-9595
ISSN:
2195-9595


Language:
English
Keywords:
Subtype:
Review
Pubs id:
2335367
UUID:
uuid_58e2fddb-9bb9-4955-9f33-b6c553f6e2bd
Local pid:
pubs:2335367
Source identifiers:
3469081
Deposit date:
2025-11-13
ARK identifier:
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