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    Mathematical modelling for patient selection in proton therapy.

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    Authors
    Mee, Thomas
    Kirkby, Norman
    Kirkby, Karen J
    Affiliation
    Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester
    Issue Date
    2018-02-13
    
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    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.
    Citation
    Mathematical modelling for patient selection in proton therapy. 2018, Clin Oncol
    Journal
    Clinical Oncology
    URI
    http://hdl.handle.net/10541/620840
    DOI
    10.1016/j.clon.2018.01.007
    PubMed ID
    29452724
    Type
    Article
    Language
    en
    ISSN
    1433-2981
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.clon.2018.01.007
    Scopus Count
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