Mathematical Modelling for Patient Selection in Proton Therapy. Issue 5 (May 2018)

• Record Type: Journal Article
• Authors: Mee, T.; Kirkby, N.F.; Kirkby, K.J.
• Is Part Of: Clinical oncology. Volume 30:Issue 5(2018)
• Page Start: 299
• Page End: 306
• Publication Date: 2018-05
• Subjects: Discrete event simulation -- mathematical modelling -- NTCP -- patient selection -- proton therapy; Oncology -- Periodicals; Tumors -- Periodicals; Cancer -- Treatment -- Periodicals; Radiotherapy -- Periodicals; Neoplasms -- Periodicals; Cancer -- Radiotherapy; Cancer -- Treatment; Oncology; Medical radiology; Radiotherapy; Tumors; Electronic journals; Periodicals; 616.994
• DOI: 10.1016/j.clon.2018.01.007
• Languages: English
• ISSNs: 0936-6555

Abstract

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.