Mathematical Modelling for Patient Selection in Proton Therapy

Research output: Contribution to journalArticle

Abstract

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 employed 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.

Bibliographical metadata

Original languageEnglish
JournalClinical Oncology
Early online date14 Feb 2018
DOIs
Publication statusPublished - 2018

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