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Imaging-Based Modalities for Identifying At Risk MASH. A Diagnostic Test Meta-Analysis.

Shyna Zhuoying Gunalan1, Michelle Shi Ni Law1, Yi Xin Kua1

  • 1Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

The American Journal of Gastroenterology
|January 14, 2026
PubMed
Summary
This summary is machine-generated.

Imaging techniques like FAST show promise for diagnosing "at risk" metabolic dysfunction-associated steatohepatitis (MASH) in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). These non-invasive methods aid in identifying patients needing further intervention.

Keywords:
FibroScanmagnetic resonance elastographymetabolic-associated steatohepatitis

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Area of Science:

  • Hepatology
  • Medical Imaging
  • Diagnostic Accuracy

Background:

  • Metabolic dysfunction-associated steatohepatitis (MASH) is an advanced liver condition requiring accurate, non-invasive diagnostic tools.
  • Identifying patients with significant fibrosis (F≥2) and inflammation (MAS≥4) is crucial for timely intervention.

Purpose of the Study:

  • To evaluate the diagnostic performance of various imaging-based technologies for ruling in (TRI) and ruling out (TRO) "at risk" MASH.
  • To compare the effectiveness of different MRI-based techniques in identifying MASH.

Main Methods:

  • Systematic literature search of Medline and Embase databases up to December 20, 2024.
  • Inclusion of 20 studies involving 9,480 participants evaluating MRI-based diagnostic techniques.
  • Bivariate meta-analysis to calculate sensitivity, specificity, and diagnostic odds ratios (DORs).

Main Results:

  • FAST demonstrated high sensitivity for ruling out MASH (0.871) and high specificity for ruling in MASH (0.900).
  • MEFIB showed high sensitivity for ruling out MASH (0.812) but lower specificity.
  • Head-to-head comparisons indicated superior performance of FAST over other diagnostic methods for "at risk" MASH.

Conclusions:

  • FAST is a promising, accessible imaging technique suitable for large-scale MASH screening.
  • MRI-based modalities offer effective non-invasive alternatives for diagnosing "at risk" MASH in MASLD patients.
  • This meta-analysis provides a comprehensive overview of current evidence on imaging techniques for MASH detection.