MR Radiomics Combined With Radiologic Features to Predict Recurrence Location in Nonviable Hepatocellular Carcinoma After Transarterial Chemoembolization.
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
The fusion model combining radiomics and radiologic features shows good performance in predicting recurrence location and may support personalized follow-up and retreatment planning.