With increasing computing power, artificial intelligence (AI) and machine learning (ML) have
prospered, which facilitate the analysis of large datasets, especially those found in critical …

Purpose Thoracic stereotactic body radiation therapy (SBRT) is associated with high rates of
local control but carries a risk of pneumonitis. Immunotherapy is a standard treatment for …

Purpose Lymphedema after regional nodal irradiation is a severe complication that could be
minimized without significantly compromising nodal coverage if the anatomic region (s) …

Institutions' adherence to protocol, quality assurance, and radiation parameter reporting are
key to adequately interpret and compare treatment outcomes in radiation oncology. In 2017 …

Abstract Large Digital Imaging and Communications in Medicine (DICOM) datasets are key
to support research and the development of machine learning technology in radiotherapy …

Purpose This study aimed to develop a quality control framework for intensity modulated
radiation therapy plan evaluations that can account for variations in patient-and treatment …

Background To improve split-VMAT technique by optimizing treatment delivery time for deep-
inspiration breath hold (DIBH) radiotherapy in left-sided breast cancer patients, when …

Purpose Statistical process control tools such as control charts were recommended by the
American Association of Physicists in Medicine (AAPM) Task Group 218 for radiotherapy …

Radiotherapy (RT) treatment planning systems (TPS) are designed for the fast calculation of
dose to the tumor bed and nearby organs at risk using x-ray computed tomography (CT) …

Background and purpose The ability to determine the risk and predictors of lymphedema is
vital in improving the quality of life for head and neck (HN) cancer patients. However …