Incorporating biological modeling into patient-specific plan verification.
IMRT QA
radiobiological QA
radiobiological verification
radiobiology
Journal
Journal of applied clinical medical physics
ISSN: 1526-9914
Titre abrégé: J Appl Clin Med Phys
Pays: United States
ID NLM: 101089176
Informations de publication
Date de publication:
Mar 2020
Mar 2020
Historique:
received:
22
10
2019
revised:
13
01
2020
accepted:
14
01
2020
pubmed:
27
2
2020
medline:
3
2
2021
entrez:
27
2
2020
Statut:
ppublish
Résumé
Dose-volume histogram (DVH) measurements have been integrated into commercially available quality assurance systems to provide a metric for evaluating accuracy of delivery in addition to gamma analysis. We hypothesize that tumor control probability and normal tissue complication probability calculations can provide additional insight beyond conventional dose delivery verification methods. A commercial quality assurance system was used to generate DVHs of treatment plan using the planning CT images and patient-specific QA measurements on a phantom. Biological modeling was performed on the DVHs produced by both the treatment planning system and the quality assurance system. The complication-free tumor control probability, P Dose measurements on a phantom can be used for pretreatment estimation of tumor control and normal tissue complication probabilities. Results in this study show how biological modeling can be used to provide additional insight about accuracy of delivery during pretreatment verification.
Identifiants
pubmed: 32101368
doi: 10.1002/acm2.12831
pmc: PMC7075379
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
94-107Informations de copyright
© 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.
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