Mathematical Modelling for Patient Selection in Proton Therapy

T Mee; N F Kirkby; K J Kirkby

doi:10.1016/j.clon.2018.01.007

Mathematical Modelling for Patient Selection in Proton Therapy

Clin Oncol (R Coll Radiol). 2018 May;30(5):299-306. doi: 10.1016/j.clon.2018.01.007. Epub 2018 Feb 14.

Authors

T Mee¹, N F Kirkby², K J Kirkby²

Affiliations

¹ Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; NIHR Manchester Biomedical Research Centre, Manchester University, Manchester Academic Health Science Centre, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Thomas.Mee@Manchester.ac.uk.
² Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK; NIHR Manchester Biomedical Research Centre, Manchester University, Manchester Academic Health Science Centre, Manchester, UK.

PMID: 29452724
DOI: 10.1016/j.clon.2018.01.007

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 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.

Keywords: Discrete event simulation; NTCP; mathematical modelling; patient selection; proton therapy.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Humans
Models, Theoretical*
Patient Selection*
Proton Therapy / methods*

Grants and funding

Cancer Research UK/United Kingdom