Validating a Monte Carlo approach to absolute dose quality assurance for proton pencil beam scanning.
Authors
Winterhalter, CFura, E
Tian, Y
Aitkenhead, Adam H
Bolsi, A
Dieterle, M
Fredh, A
Meier, G
Oxley, D
Siewert, D
Weber, D
Lomax, A
Safai, S
Affiliation
Paul Scherrer Institut, Villigen, SwitzerlandIssue Date
2018-08-23
Metadata
Show full item recordAbstract
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 BiolJournal
Physics in Medicine and BiologyDOI
10.1088/1361-6560/aad3aePubMed ID
30010613Type
ArticleLanguage
enISSN
1361-6560ae974a485f413a2113503eed53cd6c53
10.1088/1361-6560/aad3ae
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