MR Radiomics Combined With Radiologic Features to Predict Recurrence Location in Nonviable Hepatocellular Carcinoma After Transarterial Chemoembolization.

Key Points

• This research aims to develop a model that combines MR radiomics and radiologic features to predict where hepatocellular carcinoma may recur after treatment.
• Developed a fusion model that integrates radiomics and radiologic features.
• Analyzed data from patients with nonviable hepatocellular carcinoma after transarterial chemoembolization.
• Evaluated the model's performance in predicting recurrence locations.
• The fusion model demonstrates high accuracy in predicting recurrence locations.
• Findings may enhance personalized treatment plans and follow-up strategies.

Abstract