Predictive Modeling of Survival and Toxicity in Patients With Hepatocellular Carcinoma After Radiotherapy.

Ibrahim M Chamseddine Yejin Kim Brian Sandeep De Issam El Naqa Dan G DudaJohn WolfgangJennifer PursleyHarald PaganettiJennifer WoTheodore S Hong Eugene Jon Koay Clemens Grassberger

Published in: JCO clinical cancer informatics (2022)

Machine learning approaches can provide reliable outcome predictions in patients with hepatocellular carcinoma after RT in diverse cohorts across institutions. The excellent performance, particularly in high-risk patients, suggests novel strategies for patient stratification and treatment selection.

Keyphrases

machine learning
end stage renal disease
newly diagnosed
ejection fraction
chronic kidney disease
peritoneal dialysis
prognostic factors
case report
radiation induced
deep learning
locally advanced
patient reported
replacement therapy