Noninvasive Methods for Detecting Advanced Liver Fibrosis and Cirrhosis in Patients with Chronic Hepatitis B: A Single-Center Retrospective Study
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Updated: Jul 15, 2025

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
Published on: July 21, 2023
Ran Cheng1, Ning Tan2, Hao Luo2
1Department of Infectious Diseases, Peking University Third Hospital, Beijing, People's Republic of China.
Background And Aims:
The performance of noninvasive assessments to rule-in or rule-out fibrosis may improve when combined. We aimed to evaluate the efficiencies of sequential algorithms based on the aspartate aminotransferase-to-platelet ratio index (APRI), the fibrosis index based on four factors (FIB-4), and transient elastography (TE) for the assessment of advanced fibrosis (AF) and cirrhosis.
Methods:
This study enrolled 179 CHB subjects who underwent liver biopsy (LB) before antiviral treatment.
Results:
AF and cirrhosis were identified in 71 (39.7%) and 28 (15.7%) patients, respectively. Compared with TE alone, sequential FIB-4-TE and APRI-TE algorithms saved a slightly higher number of liver biopsies for the identification of advanced fibrosis (69.3% or 68.2% vs 63.7%, P=0.263 or P=0.372, respectively). For the identification of cirrhosis, sequential FIB-4-TE and APRI-TE algorithms saved a significantly higher number of liver biopsies than TE alone (83.2% or 88.3% vs 69.8%, P=0.003 or P=0.000, respectively). No significant difference was found between the sequential algorithms and TE alone in the diagnostic accuracy for the detection of AF and cirrhosis.
Conclusion:
The sequential algorithms could significantly reduce the need for liver biopsy with high accuracy for diagnosis of AF and cirrhosis in CHB patients, which would be optimal especially in resource-limited areas.

