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Assessment of Eclipse electron Monte Carlo output prediction for various topologies

Monte Carlo simulation is deemed to be the leading algorithm for accurate dose calculation with electron beams. Patient anatomy (contours and tissue densities) as well as irradiation geometry is accounted for. The accuracy of the Monitor Unit (MU) determination is one essential aspect of a treatment...

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Autores principales: Lawrence, Shane L., Van Lieshout, Natascha H.M., Charland, Paule M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690142/
https://www.ncbi.nlm.nih.gov/pubmed/26103474
http://dx.doi.org/10.1120/jacmp.v16i3.5036
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author Lawrence, Shane L.
Van Lieshout, Natascha H.M.
Charland, Paule M.
author_facet Lawrence, Shane L.
Van Lieshout, Natascha H.M.
Charland, Paule M.
author_sort Lawrence, Shane L.
collection PubMed
description Monte Carlo simulation is deemed to be the leading algorithm for accurate dose calculation with electron beams. Patient anatomy (contours and tissue densities) as well as irradiation geometry is accounted for. The accuracy of the Monitor Unit (MU) determination is one essential aspect of a treatment planning system. Patient‐specific quality assurance of a Monte Carlo plan usually involves verification of the MUs with an independent simpler calculation approach, in which flat geometry is to be assumed. The magnitude of the discrepancies between flat and varied surfaces for a few scenarios has been investigated in this study. The ability to predict MUs for various surface topologies by the commercial electron Monte Carlo implementation from Varian Eclipse system (Eclipse eMC) has been evaluated and compared to the Generalized Gaussian Pencil Beam (GGPB) algorithm. Ten phantoms with different topologies were constructed of water‐equivalent material. Measurements with a parallel plate ionization chamber were performed using these phantoms to gauge their relative impact on outputs for 6, 9, 12, 16, and 20 MeV electron beams from a Varian TrueBeam with cone sizes ranging from [Formula: see text] to [Formula: see text]. The corresponding Monte Carlo simulations of the measured geometries were carried out using the CT scans of these phantoms. The results indicated that the Eclipse eMC algorithm can predict these output changes within 3% for most scenarios. However, at the lowest energy, the discrepancy was the greatest, up to 6%. In comparison, the Eclipse GGPB algorithm had much worse agreement, with discrepancies up to 17% at the lowest energies. PACS numbers: 87.55.K‐, 87.55.km
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spelling pubmed-56901422018-04-02 Assessment of Eclipse electron Monte Carlo output prediction for various topologies Lawrence, Shane L. Van Lieshout, Natascha H.M. Charland, Paule M. J Appl Clin Med Phys Radiation Oncology Physics Monte Carlo simulation is deemed to be the leading algorithm for accurate dose calculation with electron beams. Patient anatomy (contours and tissue densities) as well as irradiation geometry is accounted for. The accuracy of the Monitor Unit (MU) determination is one essential aspect of a treatment planning system. Patient‐specific quality assurance of a Monte Carlo plan usually involves verification of the MUs with an independent simpler calculation approach, in which flat geometry is to be assumed. The magnitude of the discrepancies between flat and varied surfaces for a few scenarios has been investigated in this study. The ability to predict MUs for various surface topologies by the commercial electron Monte Carlo implementation from Varian Eclipse system (Eclipse eMC) has been evaluated and compared to the Generalized Gaussian Pencil Beam (GGPB) algorithm. Ten phantoms with different topologies were constructed of water‐equivalent material. Measurements with a parallel plate ionization chamber were performed using these phantoms to gauge their relative impact on outputs for 6, 9, 12, 16, and 20 MeV electron beams from a Varian TrueBeam with cone sizes ranging from [Formula: see text] to [Formula: see text]. The corresponding Monte Carlo simulations of the measured geometries were carried out using the CT scans of these phantoms. The results indicated that the Eclipse eMC algorithm can predict these output changes within 3% for most scenarios. However, at the lowest energy, the discrepancy was the greatest, up to 6%. In comparison, the Eclipse GGPB algorithm had much worse agreement, with discrepancies up to 17% at the lowest energies. PACS numbers: 87.55.K‐, 87.55.km John Wiley and Sons Inc. 2015-05-08 /pmc/articles/PMC5690142/ /pubmed/26103474 http://dx.doi.org/10.1120/jacmp.v16i3.5036 Text en © 2015 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Lawrence, Shane L.
Van Lieshout, Natascha H.M.
Charland, Paule M.
Assessment of Eclipse electron Monte Carlo output prediction for various topologies
title Assessment of Eclipse electron Monte Carlo output prediction for various topologies
title_full Assessment of Eclipse electron Monte Carlo output prediction for various topologies
title_fullStr Assessment of Eclipse electron Monte Carlo output prediction for various topologies
title_full_unstemmed Assessment of Eclipse electron Monte Carlo output prediction for various topologies
title_short Assessment of Eclipse electron Monte Carlo output prediction for various topologies
title_sort assessment of eclipse electron monte carlo output prediction for various topologies
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690142/
https://www.ncbi.nlm.nih.gov/pubmed/26103474
http://dx.doi.org/10.1120/jacmp.v16i3.5036
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