Projects per year
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.
|Number of pages||8|
|Early online date||14 Feb 2018|
|Publication status||Published - 14 Feb 2018|
- Discrete event simulation
- mathematical modelling
- patient selection
- proton therapy
Research Beacons, Institutes and Platforms
- Manchester Cancer Research Centre
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- 2 Finished
Grand Challenge Network in Network+ in Proton Therapy.
1/05/16 → 31/10/21
Global Challenge Network + in Advanced Radiotherapy.
Kirkby, K., Illidge, T., Kirkby, N., Mackay, R., Merchant, M. & Owen, H.
1/07/15 → 30/06/21
Establishing the UK’s first high-energy proton therapy service at the Christie Hospital Manchester and University College London Hospital.
Hywel Owen (Participant), Robert Appleby (Participant), Ranald Mackay (Participant), Karen Kirkby (Participant) & Roger Barlow (Participant)
Impact: Health and wellbeing, Economic, Technological