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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOP Publishing
2018
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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. |
format | Online Article Text |
id | pubmed-5964337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | IOP Publishing |
record_format | MEDLINE/PubMed |
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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