Background: Biomarker-driven molecular imaging has emerged as an integral part of cancer
precision radiotherapy. The use of molecular imaging probes, including nanoprobes, have …

This position paper, led by the NRG Oncology Particle Therapy Work Group, focuses on the
concept of relative biologic effect (RBE) in clinical proton therapy, with the goal of providing …

Improvements in radiotherapy delivery have enabled higher therapeutic doses and
improved efficacy, contributing to the growing number of long-term cancer survivors. These …

Purpose Our objective was to develop an externally validated model for predicting liver
toxicity after radiation therapy in patients with hepatocellular carcinoma (HCC) that can …

Objective: The aim of this study was to evaluate the incidence of radiotherapy (RT)-related
lymphopenia, its predictors, and association with survival in unresectable intrahepatic …

Objectives This study aims to explore the synergistic effects of combining stereotactic body
radiation therapy (SBRT) and selective internal radiation therapy (SIRT) in that specific …

Purpose To evaluate the efficacy of prominent machine learning algorithms in predicting
normal tissue complication probability using clinical data obtained from 2 distinct disease …

Artificial intelligence (AI) has emerged as a transformative force in healthcare, particularly in
pulmonary diagnostics. This comprehensive review explores the impact of AI on …

Background: The study purpose was to develop a machine learning (ML)-based predictive
model for event-free survival (EFS) in patients with hepatocellular carcinoma (HCC) …

Background Early adverse skin reactions (EASRs) are common side effects of radiotherapy
(RT) that impact the quality of life of breast cancer patients. This study used global …