Purpose Concurrent chemoradiation therapy (CCRT) improves survival compared with
sequential treatment for locally advanced non-small cell lung cancer, but it increases toxicity …

Artificial Intelligence is providing astonishing results, with medicine being one of its favourite
playgrounds. Machine Learning and, in particular, Deep Neural Networks are behind this …

Purpose Machine learning classification algorithms (classifiers) for prediction of treatment
response are becoming more popular in radiotherapy literature. General Machine learning …

Head and neck cancer poses a particular challenge in radiation therapy, whilst being an
effective treatment modality it requires very high doses of radiation to provide effective …

There has recently been an increasing interest in model-based evaluation and comparison
of different treatment options in radiation oncology studies. This is partly driven by the …

Comparing incidental dose distributions (ie images) of patients with different outcomes is a
straightforward way to explore dose-response hypotheses in radiotherapy. In this paper, we …

Background and purpose The majority of normal-tissue complication probability (NTCP)
models for acute esophageal toxicity (AET) in advanced stage non-small cell lung cancer …

This review aimed to provide an overview of the level of maturity of normal tissue
complication probability (NTCP) models for head and neck cancer (HNC) patients. A …

Abstract Background/Purpose Rates of acute esophagitis in breast cancer patients
undergoing regional nodal irradiation (RNI) are under-reported. We set to identify …

Retrospective evaluation of 188 advanced stage non-small cell lung cancer patients treated
with IMRT or VMAT revealed a limited increase of moderate to severe acute esophageal …