Author profile
Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital
Stereotactic body radiotherapy (SBRT) for spinal metastases requires accurate delineation of the spinal cord and thecal sac to maximize treatment efficacy while minimizing toxicity. Deep learning-based segmentation models improve contouring efficiency and red...
RapidArc Dynamic (RAD) in Eclipse, version 18.1 integrates dynamic collimator rotation with static angle modulated ports (STAMPs) into arc to improve plan quality and treatment time. Flattening filter–free (FFF) beams further reduce beam-on time through highe...
Radiation pneumonitis (RP) remains a major toxicity in thoracic radiotherapy. While lung radiomics has shown promise for RP prediction, the optimal region for feature extraction remains unclear. This study investigated whether restricting the extraction regio...
Predicting radiation pneumonitis (RP) using machine learning is promising, particularly when functional lung heterogeneity is incorporated via dose-function histogram (DFH) and CT ventilation imaging (CTVI). However, traditional dose–function metrics often fa...
Grade ≥2 radiation pneumonitis (RP) occurs in approximately 30% of patients undergoing radiotherapy for lung cancer. Therefore, a predictive model to estimate RP risk before radiotherapy is required. Radiomics and dosiomics have shown potential for RP predict...