Abstract
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). 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. 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. 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.
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