The treatment of cancer with proton radiation therapy was first suggested in 1946 followed
by the first treatments in the 1950s. As of 2020, almost 200 000 patients have been treated …

Radiation therapy to the prostate involves increasingly sophisticated delivery techniques
and changing fractionation schedules. With a low estimated α/β ratio, a larger dose per …

Purpose The aim of this work was to develop and benchmark a magnetic resonance (MR)‐
guided linear accelerator head model using the GEANT4 Monte Carlo (MC) code. The …

The fast evolution of technology in radiotherapy (RT) enabled the realization of adaptive
radiotherapy (ART). However, the new characteristics of ART pose unique challenges for …

Introduction Our institution was the first in the world to clinically implement MR-guided
adaptive radiotherapy (MRgART) in 2014. In 2021, we installed a CT-guided adaptive …

Purpose To investigate the feasibility and accuracy of proton dose calculations with artificial
neural networks (ANNs) in challenging three‐dimensional (3D) anatomies. Methods A novel …

Purpose To extend and validate the accuracy and efficiency of a graphics processing unit
(GPU)‐Monte Carlo dose engine for Elekta Unity 1.5 T Magnetic Resonance‐Linear …

Background Adaptive radiotherapy (ART) has made significant advances owing to magnetic
resonance linear accelerator (MR‐LINAC), which provides superior soft‐tissue contrast, fast …

Purpose To validate the feasibility and accuracy of commonly used collapsed cone (CC)
dose engine for Elekta Unity 1.5 T MR-LINAC online independent dose verification …

Purpose To develop an independent log file–based intensity‐modulated radiation therapy
(IMRT) quality assurance (QA) tool for the 0.35 T magnetic resonance‐linac (MR‐linac) and …