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Updated: Nov 1, 2025

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
Published on: July 21, 2023
Fibrosis-4 Index vs Nonalcoholic Fatty Liver Disease Fibrosis Score in Identifying Advanced Fibrosis in Subjects With
Marco Castellana1, Rossella Donghia1, Vito Guerra1
1Population Health Unit, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy.
Introduction:
In subjects with nonalcoholic fatty liver disease (NAFLD), advanced fibrosis (AF) carries the highest risk of adverse liver-related events. To reduce the number of unnecessary biopsies, several noninvasive tools (NITs) for the risk stratification of fibrosis have been developed. We conducted this meta-analysis to assess the performance of the fibrosis-4 index (FIB-4) and NAFLD fibrosis scores (NFS), the 2 most common NITs, for the appropriate selection of subjects with AF for biopsy.
Methods:
Four databases were searched until December 2020 (CRD42021224766). Original articles reporting data on the performance of FIB-4 and NFS, interpreted according to standard cutoffs in subjects with biopsy-proven NAFLD, were included. Separate data extractions were performed according to the lower cutoff, the higher cutoff, and the dual threshold approach. The numbers of subjects classified as true-negative, true-positive, false-negative, and false-positive were extracted. Summary operating points were estimated using a random-effects model.
Results:
Eighteen studies evaluating 12,604 subjects were included. Participants were adult outpatients with biopsy-proven NAFLD or nonalcoholic steatohepatitis. Overall, a weak-to-moderate performance was found for both scores. The head-to-head comparison showed FIB-4 to be associated with a higher performance in ruling in and NFS in ruling out AF in the single threshold approach, whereas, with the dual threshold approach, a lower prevalence of indeterminate findings was found for FIB-4.
Discussion:
This meta-analysis suggested that currently available NITs have a limited performance in identifying AF among subjects with NAFLD. Further studies are needed to optimize existing thresholds or develop new NITs.
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