Affiliation
Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, ManchesterIssue Date
2018-02-13
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Show full item recordAbstract
Proton beam therapy (PBT) is still relatively new in cancer treatment and the clinical evidence base is relatively sparse. Mathematical modelling offers assistance when selecting patients for PBT and predicting the demand for service. Discrete event simulation, normal tissue complication probability, quality-adjusted life-years and Markov Chain models are all mathematical and statistical modelling techniques currently used but none is dominant. As new evidence and outcome data become available from PBT, comprehensive models will emerge that are less dependent on the specific technologies of radiotherapy planning and delivery.Citation
Mathematical modelling for patient selection in proton therapy. 2018, Clin OncolJournal
Clinical OncologyDOI
10.1016/j.clon.2018.01.007PubMed ID
29452724Type
ArticleLanguage
enISSN
1433-2981ae974a485f413a2113503eed53cd6c53
10.1016/j.clon.2018.01.007
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