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Published on: August 26, 2025
MAST versus FAST for active fibrotic MASH: a meta-analysis supporting risk-stratified diagnostic pathways
Shengfang Liu1, Qingjuan Zhang1, Lijing Wang1
1Yibin Hospital of T.C.M., Yibin, China.
This meta-analysis compared FibroScan-AST (FAST) and MRI-AST (MAST) scores for diagnosing metabolic dysfunction-associated steatohepatitis (MASH) with significant fibrosis. Both scores showed similar diagnostic accuracy, though MAST demonstrated better sensitivity and consistency.
Area of Science:
- Hepatology
- Diagnostic Accuracy
- Medical Imaging
Background:
- Metabolic dysfunction-associated steatohepatitis (MASH) with significant fibrosis is a growing health concern.
- Accurate non-invasive diagnostic tools are crucial for managing MASH.
- Existing diagnostic methods have limitations in identifying MASH with significant fibrosis.
Purpose of the Study:
- To compare the diagnostic accuracy of two novel non-invasive scores: FibroScan-AST (FAST) and MRI-AST (MAST).
- To evaluate the performance of FAST and MAST in identifying MASH with significant fibrosis.
- To assess the sensitivity, specificity, and overall accuracy of these scores against liver biopsy.
Main Methods:
- A systematic review and meta-analysis were conducted following PRISMA guidelines.
- Four studies comparing FAST and MAST against liver biopsy were included.
- Bivariate random-effects models were used to calculate pooled sensitivity, specificity, diagnostic odds ratio (DOR), and area under the curve (AUC).
Main Results:
- MAST showed higher sensitivity (55.9%) and specificity (88.1%) with an AUC of 0.84 compared to FAST (sensitivity 44.7%, specificity 87.5%, AUC 0.83).
- The difference in AUC between MAST and FAST was not statistically significant (p=0.964).
- MAST exhibited greater consistency, while FAST showed significant threshold variability.
Conclusions:
- MAST and FAST demonstrate comparable overall diagnostic accuracy for MASH with significant fibrosis.
- MAST may offer advantages in sensitivity and consistency.
- The limited number of included studies necessitates cautious interpretation of findings.
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