Preclinical Radiobiological insights to inform modelling of radiotherapy outcome

Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

Abstract

Pre-clinical data can be used to better understand various patient and treatment characteristics that need to be considered when developing risk models for the prediction of treatment outcome. Here, we describe using advanced cell/organoid culture techniques and proper animal models that could help in such a process by providing means to test and generate hypotheses in a controlled environment, which is not possible in clinical trials.
Original languageEnglish
Title of host publicationA Guide to Outcome Modeling In Radiotherapy and Oncology
Subtitle of host publicationListening to the Data
EditorsIssam El Naqa
PublisherCRC Press, Taylor and Francis Group
Chapter5
Pages47-52
Number of pages6
Edition1st
ISBN (Electronic)9780429840357
ISBN (Print)9781498768054
DOIs
Publication statusPublished - 2-Mar-2018

Publication series

NameSeries in Medical Physics and Biomedical Engineering

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