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    Validating a Monte Carlo approach to absolute dose quality assurance for proton pencil beam scanning.

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    Authors
    Winterhalter, C
    Fura, E
    Tian, Y
    Aitkenhead, Adam H
    Bolsi, A
    Dieterle, M
    Fredh, A
    Meier, G
    Oxley, D
    Siewert, D
    Weber, D
    Lomax, A
    Safai, S
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    Affiliation
    Paul Scherrer Institut, Villigen, Switzerland
    Issue Date
    2018-08-23
    
    Metadata
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    Abstract
    For radiotherapy, it is crucial to guarantee that the delivered dose matches the planned dose. Therefore, patient specific quality assurance (QA) of absolute dose distributions is necessary. Here, we investigate the potential of replacing patient specific QA for pencil beam scanned proton therapy with Monte Carlo simulations. First, the set-up of the automated Monte Carlo model is presented with an emphasis on the absolute dose validation. Second, the absolute dose results obtained from the Monte Carlo simulation for a comprehensive set of patient fields are compared to patient specific QA measurements. Absolute doses measured with the Farmer chamber are shown to be 1.4% higher than the doses measured with the Semiflex chamber. For single energy layers, Monte Carlo simulated doses are 2.1%  ±  0.4% lower than the ones measured with the ionization chamber and 1.1%  ±  1.0% lower than measurements compared to patient field verification measurements. After rescaling to account for this 1.1% discrepancy, 98 fields (94.2%) agree within 2% to measurements, the maximum difference being 2.3%. In conclusion, an automated, easy-to-use Monte Carlo calculation system has been set up. This system reproduced patient specific QA results over a wide range of cases, showing that the time consuming measurements could be reduced or even replaced using Monte Carlo simulations without jeopardizing treatment quality.
    Citation
    Validating a Monte Carlo approach to absolute dose quality assurance for proton pencil beam scanning. 2018, 63(17): 175001 Phys Med Biol
    Journal
    Physics in Medicine and Biology
    URI
    http://hdl.handle.net/10541/621240
    DOI
    10.1088/1361-6560/aad3ae
    PubMed ID
    30010613
    Type
    Article
    Language
    en
    ISSN
    1361-6560
    ae974a485f413a2113503eed53cd6c53
    10.1088/1361-6560/aad3ae
    Scopus Count
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