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Radiomics Models Predict Complications in Hepatocellular Carcinoma

New radiomic prediction models effectively identify post-hepatectomy complications and early recurrences in hepatocellular carcinoma patients. Utilizing features from two-dimensional shear wave elastography, the comprehensive complication index (CCI) model achieved an AUC of 0.896, while the recurrence model reached 0.854. Key predictors included radiomic signatures, platelet count, age, and blood flow. These advancements enable targeted interventions for high-risk individuals at a crucial postoperative stage, enhancing patient outcomes.

Observational Study by Jiang D, Ren J (…) Li Y et 8 al. in Eur J Med Res

© 2025. The Author(s).

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