abstract© 2018 Published by Elsevier BV on behalf of European Society for Radiotherapy
and Oncology. This is an open access article under the CC BY-NC-ND license (http …

Purpose For unbiased comparison of different radiation modalities and techniques, consensus
on delineation of radiation sensitive organs at risk (OARs) and on their dose constraints is …

The potential benefits of positron emission tomography (PET) imaging for the management
of head and neck tumours are increasingly being recognized. Integrated PET–CT has found …

Background Radiomic features may quantify characteristics present in medical imaging.
However, the lack of standardized definitions and validated reference values have hampered …

FDG-PET-derived textural features describing intra-tumor heterogeneity are increasingly
investigated as imaging biomarkers. As part of the process of quantifying heterogeneity, image …

Radiomics applies machine learning algorithms to quantitative imaging data to characterise
the tumour phenotype and predict clinical outcome. For the development of radiomics risk …

Purpose An overview of the Rapid Learning methodology, its results, and the potential
impact on radiotherapy. Material and results Rapid Learning methodology is divided into four …

Image features need to be robust against differences in positioning, acquisition and
segmentation to ensure reproducibility. Radiomic models that only include robust features can be …

Accelerated tumor cell proliferation is an important mechanism adversely affecting therapeutic
outcome in head and neck cancer. 3′-deoxy-3′- 18 F-fluorothymidine ( 18 F-FLT) is a …

Repopulation of clonogenic tumor cells is inversely correlated with radiation treatment
outcome in head and neck squamous cell carcinomas. A functional imaging tool to assess the …