Abstract
INTRODUCTION: Liver stiffness measurement is principal for staging liver fibrosis but not included in routine examinations. We investigated whether comparable diagnostic performance can be achieved by mining ultrasound images and developing a novel serum index (NSI). METHODS: Texture features were extracted from ultrasound images. Spearman correlation and logistics regression selected independent variables for significant (F ≥ 2) and advanced (F ≥ 3) fibrosis. We compared the diagnostic performance of transient elastography (TE), ultrasound image biomarker, conventional serum indices (aspartate aminotransferase-to-platelet ratio index, fibrosis-4 index, gamma-glutamyl transpeptidase-to-platelet ratio), and NSI in 365 patients with chronic hepatitis B. RESULTS: Among patients, 52.1% had significant fibrosis and 24.2% had advanced fibrosis. PLT, gamma-glutamyl transferase, prealbumin, and globulin were incorporated into NSI. In the validation group, TE achieved the best performance (area under the curve [AUC]: 0.765 [0.690-0.849] for significant fibrosis; 0.812 [0.745-0.878] for advanced fibrosis), followed by ultrasound image biomarker (AUC: 0.712 [0.629-0.795]; 0.678 [0.595-0.763]) and NSI (AUC: 0.630 [0.534-0.725]; 0.659 [0.572-0.745]), outperforming conventional indices. DISCUSSION: Texture analysis enhances ultrasound's diagnostic utility, but TE remains superior. When TE is unavailable, ultrasound image analysis and NSI, incorporating prealbumin, can serve as alternative tools for fibrosis staging.