Imaging Based Modalities for Identifying “At Risk” MASH. A Diagnostic Test Meta-analysis

FAST with its accessibility and robust diagnostic performance may be well-suited for large-scale application. MRI-based techniques are effective non-invasive options for diagnosing "at risk" MASH in MASLD and may provide strong alternatives. Rather than challenging existing perspectives, this study provides a reflective overview of current evidence on imaging-based modalities for "at risk" MASH.

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Publication Details

Journal
The American Journal of Gastroenterology
Published
2026-01-13
DOI
https://doi.org/10.14309/ajg.0000000000003919
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Imaging Based Modalities for Identifying “At Risk” MASH. A Diagnostic Test Meta-analysis

Richard Lim, Shyna Gunalan, Mei Chin Lim, Nicholas L. X. Syn et al.
The American Journal of Gastroenterology
Liver Disease Diagnosis and Treatment
article

Imaging Based Modalities for Identifying “At Risk” MASH. A Diagnostic Test Meta-analysis

Richard Lim, Shyna Gunalan, Mei Chin Lim, Nicholas L. X. Syn, Mark Dhinesh Muthiah, Benjamin Nah, Michelle Shi Ni Law, Zhenning Yu, Won Mook Choi, Cheng Han Ng, Karn Wijarnpreecha, Asvin Selvakumar, Vincent L. Chen, Asahiro Morishita, Ming-Hua Zheng, Yi Xin Kua, Toru Nakamura, Hirokazu Takahashi, Zi Xuan Zhang
article en

Abstract

FAST with its accessibility and robust diagnostic performance may be well-suited for large-scale application. MRI-based techniques are effective non-invasive options for diagnosing "at risk" MASH in MASLD and may provide strong alternatives. Rather than challenging existing perspectives, this study provides a reflective overview of current evidence on imaging-based modalities for "at risk" MASH.

The American Journal of Gastroenterology
Kurume University (JP), Ulsan College (KR), University of Arizona (US), National University of Singapore (SG), University of Phoenix (US), Saga University (JP), Kagawa University (JP), Wenzhou Medical University (CN), University of Michigan (US), Asan Medical Center (KR), First Affiliated Hospital of Wenzhou Medical University (CN), University of Ulsan (KR), National University Health System (SG)
Reduced inequalities
Openalex Percentile: Top 88%
Liver Disease Diagnosis and Treatment
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Imaging Based Modalities for Identifying “At Risk” MASH. A Diagnostic Test Meta-analysis — Richard Lim, Shyna Gunalan, et al. · The American Journal of Gastroenterology (2026) | TGRS Research Map | TGRS