This study aimed to investigate if a commercial, knowledge-based tool for radiotherapy
planning could be used to estimate the amount of sparing in organs at risk (OARs) in the re …

The intrinsic stochasticity of patients' response to treatment is a major consideration for
clinical decision‐making in radiation therapy. Markov models are powerful tools to capture …

Purpose Head and neck cancer (HNC) patients in radiotherapy require adaptive treatment
plans due to anatomical changes. Deformable image registration (DIR) is used in adaptive …

Oncology is becoming increasingly personalised through advancements in precision in
diagnostics and therapeutics, with more and more data available on both ends to create …

Objective. Modern radiotherapy stands to benefit from the ability to efficiently adapt plans
during treatment in response to setup and geometric variations such as those caused by …

We successfully implemented an APRT specializing in CBCT-guided online adaptive
contouring. These data show statistical improvements in contouring time with APRT-led vs …

In image-guided particle therapy (PT), images of the patients acquired with different imaging
scanners and at different time-points must be integrated. This chapter will describe the …

The concept of “adaptive radiotherapy”(ART) was introduced more than 20 years ago. It
refers to imaging feedback control strategies with treatment plan modification in response to …

Purpose The objective of this study was to develop a linear accelerator (LINAC)-based
adaptive radiation therapy (ART) workflow for the head and neck that is informed by …

Purpose To perform a comprehensive evaluation of eight adaptive radiation therapy
strategies in the treatment of prostate cancer patients who underwent hypofractionated …