Evaluating the efficacy of 8 non-invasive models in predicting MASLD and progression: a prospective study.

ABSTRACT:

Background

Selecting the optimal non-invasive diagnostic model for MASLD (Metabolic Dysfunction-Associated Steatosis Liver Disease) and steatosis progression is a critical issue given the variety of available models. We aimed to compare the performance of eight clinical prediction models for diagnosing and predicting the progression of hepatic steatosis using MRI-PDFF (Magnetic Resonance Imaging-Derived Proton Density Fat Fraction), and validate the findings with FibroScan and histopathological results.

Methods

In this study, 846 participants were initially enrolled, with 108 undergoing liver biopsy and 706 completing one-year follow-up, including 26 who underwent repeat biopsy. We calculated scores for eight clinical prediction models (FAST, KNAFLD, HSI, FLI, Liver Fat Scor

SUBMITTER: Yang A 

PROVIDER: S-EPMC11472641 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature