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.
- Discrete event simulation
- mathematical modelling
- patient selection
- proton therapy
Research Beacons, Institutes and Platforms
- Manchester Cancer Research Centre
FingerprintDive into the research topics of 'Mathematical Modelling for Patient Selection in Proton Therapy'. Together they form a unique fingerprint.
- 2 Finished
1/05/16 → 31/10/21
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.
Impact: Health and wellbeing, Economic, Technological