Mathematical Modelling for Patient Selection in Proton Therapy

Thomas Mee, Norman Kirkby, Karen Kirkby

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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.
Original languageEnglish
Pages (from-to)299-306
Number of pages8
JournalClinical Oncology
Issue number5
Early online date14 Feb 2018
Publication statusPublished - 14 Feb 2018


  • Discrete event simulation
  • NTCP
  • mathematical modelling
  • patient selection
  • proton therapy

Research Beacons, Institutes and Platforms

  • Manchester Cancer Research Centre


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