Deep Learning Models Predict Microvascular Invasion in HCC

This meta-analysis (searched to Oct 16, 2025) pooled 52 studies with 19,531 hepatocellular carcinoma patients to evaluate imaging-based deep learning models predicting microvascular invasion. Pooled sensitivity was 0.80, specificity 0.82, and SROC 0.88, with contrast-enhanced CT achieving SROC 0.90 and pathological sections SROC 0.92. The authors note performance declines on external validation, urging prospective multicenter studies.