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Investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE(®) 3D dosimeter and Monte Carlo simulations

Dosimetric quality assurance (QA) of the new Elekta Unity (MR-linac) will differ from the QA performed of a conventional linac due to the constant magnetic field, which creates an electron return effect (ERE). In this work we aim to validate PRESAGE(®) dosimetry in a transverse magnetic field, and a...

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Autores principales: Costa, Filipa, Doran, Simon J, Hanson, Ian M, Nill, Simeon, Billas, Ilias, Shipley, David, Duane, Simon, Adamovics, John, Oelfke, Uwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964337/
https://www.ncbi.nlm.nih.gov/pubmed/29393066
http://dx.doi.org/10.1088/1361-6560/aaaca2
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author Costa, Filipa
Doran, Simon J
Hanson, Ian M
Nill, Simeon
Billas, Ilias
Shipley, David
Duane, Simon
Adamovics, John
Oelfke, Uwe
author_facet Costa, Filipa
Doran, Simon J
Hanson, Ian M
Nill, Simeon
Billas, Ilias
Shipley, David
Duane, Simon
Adamovics, John
Oelfke, Uwe
author_sort Costa, Filipa
collection PubMed
description Dosimetric quality assurance (QA) of the new Elekta Unity (MR-linac) will differ from the QA performed of a conventional linac due to the constant magnetic field, which creates an electron return effect (ERE). In this work we aim to validate PRESAGE(®) dosimetry in a transverse magnetic field, and assess its use to validate the research version of the Monaco TPS of the MR-linac. Cylindrical samples of PRESAGE(®) 3D dosimeter separated by an air gap were irradiated with a cobalt-60 unit, while placed between the poles of an electromagnet at 0.5 T and 1.5 T. This set-up was simulated in EGSnrc/Cavity Monte Carlo (MC) code and relative dose distributions were compared with measurements using 1D and 2D gamma criteria of 3% and 1.5 mm. The irradiation conditions were adapted for the MR-linac and compared with Monaco TPS simulations. Measured and EGSnrc/Cavity simulated profiles showed good agreement with a gamma passing rate of 99.9% for 0.5 T and 99.8% for 1.5 T. Measurements on the MR-linac also compared well with Monaco TPS simulations, with a gamma passing rate of 98.4% at 1.5 T. Results demonstrated that PRESAGE(®) can accurately measure dose and detect the ERE, encouraging its use as a QA tool to validate the Monaco TPS of the MR-linac for clinically relevant dose distributions at tissue-air boundaries.
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spelling pubmed-59643372018-05-29 Investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE(®) 3D dosimeter and Monte Carlo simulations Costa, Filipa Doran, Simon J Hanson, Ian M Nill, Simeon Billas, Ilias Shipley, David Duane, Simon Adamovics, John Oelfke, Uwe Phys Med Biol Note Dosimetric quality assurance (QA) of the new Elekta Unity (MR-linac) will differ from the QA performed of a conventional linac due to the constant magnetic field, which creates an electron return effect (ERE). In this work we aim to validate PRESAGE(®) dosimetry in a transverse magnetic field, and assess its use to validate the research version of the Monaco TPS of the MR-linac. Cylindrical samples of PRESAGE(®) 3D dosimeter separated by an air gap were irradiated with a cobalt-60 unit, while placed between the poles of an electromagnet at 0.5 T and 1.5 T. This set-up was simulated in EGSnrc/Cavity Monte Carlo (MC) code and relative dose distributions were compared with measurements using 1D and 2D gamma criteria of 3% and 1.5 mm. The irradiation conditions were adapted for the MR-linac and compared with Monaco TPS simulations. Measured and EGSnrc/Cavity simulated profiles showed good agreement with a gamma passing rate of 99.9% for 0.5 T and 99.8% for 1.5 T. Measurements on the MR-linac also compared well with Monaco TPS simulations, with a gamma passing rate of 98.4% at 1.5 T. Results demonstrated that PRESAGE(®) can accurately measure dose and detect the ERE, encouraging its use as a QA tool to validate the Monaco TPS of the MR-linac for clinically relevant dose distributions at tissue-air boundaries. IOP Publishing 2018-03 2018-02-26 /pmc/articles/PMC5964337/ /pubmed/29393066 http://dx.doi.org/10.1088/1361-6560/aaaca2 Text en © 2018 Institute of Physics and Engineering in Medicine http://creativecommons.org/licenses/by/3.0/ Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (http://creativecommons.org/licenses/by/3.0) . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
spellingShingle Note
Costa, Filipa
Doran, Simon J
Hanson, Ian M
Nill, Simeon
Billas, Ilias
Shipley, David
Duane, Simon
Adamovics, John
Oelfke, Uwe
Investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE(®) 3D dosimeter and Monte Carlo simulations
title Investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE(®) 3D dosimeter and Monte Carlo simulations
title_full Investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE(®) 3D dosimeter and Monte Carlo simulations
title_fullStr Investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE(®) 3D dosimeter and Monte Carlo simulations
title_full_unstemmed Investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE(®) 3D dosimeter and Monte Carlo simulations
title_short Investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE(®) 3D dosimeter and Monte Carlo simulations
title_sort investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using presage(®) 3d dosimeter and monte carlo simulations
topic Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964337/
https://www.ncbi.nlm.nih.gov/pubmed/29393066
http://dx.doi.org/10.1088/1361-6560/aaaca2
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