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A simple model for predicting the signal for a head‐mounted transmission chamber system, allowing IMRT in‐vivo dosimetry without pretreatment linac time

The DAVID is a transparent, multi‐wire transmission‐style detector that attaches to a linear accelerator (linac) collimator for use as an in vivo detector. Currently, the normal method for using the DAVID is to measure a signal at the time of phantom‐based pretreatment verification and use that sign...

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Autores principales: Johnson, Daniel, Weston, Steven J., Cosgrove, Vivian P., Thwaites, David I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875507/
https://www.ncbi.nlm.nih.gov/pubmed/25207413
http://dx.doi.org/10.1120/jacmp.v15i4.4842
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author Johnson, Daniel
Weston, Steven J.
Cosgrove, Vivian P.
Thwaites, David I.
author_facet Johnson, Daniel
Weston, Steven J.
Cosgrove, Vivian P.
Thwaites, David I.
author_sort Johnson, Daniel
collection PubMed
description The DAVID is a transparent, multi‐wire transmission‐style detector that attaches to a linear accelerator (linac) collimator for use as an in vivo detector. Currently, the normal method for using the DAVID is to measure a signal at the time of phantom‐based pretreatment verification and use that signal as a baseline to compare with in vivo measurements for subsequent treatment fractions. The device has previously been shown to be both stable and accurate. (1) , (2) This work presents the development of a predictive algorithm for the expected signal, eradicating the need to spend time on the linac prior to treatment, and thereby making the process more efficient. The DAVID response at each wire is a consequence of both primary radiation, from the leaf pair associated with the wire, and scatter radiation as a result of radiation incident on other parts of the detector scattering in the Perspex plate. The primary radiation was shown to be linearly proportional to both leaf separation and delivered monitor units (MU). The scatter signal dropped off exponentially with regard to distance. Both of these effects were modeled; the resulting algorithm was used to predict the response from ten five‐field IMRT head and neck plans. The system predicted all DAVID signals to within 5%, and was able to detect artificially generated changes in linac output. Having shown that the algorithm works, a new working paradigm is suggested, and the errors that can be detected are outlined. PACS number: 87.55.N
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spelling pubmed-58755072018-04-02 A simple model for predicting the signal for a head‐mounted transmission chamber system, allowing IMRT in‐vivo dosimetry without pretreatment linac time Johnson, Daniel Weston, Steven J. Cosgrove, Vivian P. Thwaites, David I. J Appl Clin Med Phys Radiation Oncology Physics The DAVID is a transparent, multi‐wire transmission‐style detector that attaches to a linear accelerator (linac) collimator for use as an in vivo detector. Currently, the normal method for using the DAVID is to measure a signal at the time of phantom‐based pretreatment verification and use that signal as a baseline to compare with in vivo measurements for subsequent treatment fractions. The device has previously been shown to be both stable and accurate. (1) , (2) This work presents the development of a predictive algorithm for the expected signal, eradicating the need to spend time on the linac prior to treatment, and thereby making the process more efficient. The DAVID response at each wire is a consequence of both primary radiation, from the leaf pair associated with the wire, and scatter radiation as a result of radiation incident on other parts of the detector scattering in the Perspex plate. The primary radiation was shown to be linearly proportional to both leaf separation and delivered monitor units (MU). The scatter signal dropped off exponentially with regard to distance. Both of these effects were modeled; the resulting algorithm was used to predict the response from ten five‐field IMRT head and neck plans. The system predicted all DAVID signals to within 5%, and was able to detect artificially generated changes in linac output. Having shown that the algorithm works, a new working paradigm is suggested, and the errors that can be detected are outlined. PACS number: 87.55.N John Wiley and Sons Inc. 2014-07-08 /pmc/articles/PMC5875507/ /pubmed/25207413 http://dx.doi.org/10.1120/jacmp.v15i4.4842 Text en © 2014 The Authors. This is an open access article under the terms of the 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
Johnson, Daniel
Weston, Steven J.
Cosgrove, Vivian P.
Thwaites, David I.
A simple model for predicting the signal for a head‐mounted transmission chamber system, allowing IMRT in‐vivo dosimetry without pretreatment linac time
title A simple model for predicting the signal for a head‐mounted transmission chamber system, allowing IMRT in‐vivo dosimetry without pretreatment linac time
title_full A simple model for predicting the signal for a head‐mounted transmission chamber system, allowing IMRT in‐vivo dosimetry without pretreatment linac time
title_fullStr A simple model for predicting the signal for a head‐mounted transmission chamber system, allowing IMRT in‐vivo dosimetry without pretreatment linac time
title_full_unstemmed A simple model for predicting the signal for a head‐mounted transmission chamber system, allowing IMRT in‐vivo dosimetry without pretreatment linac time
title_short A simple model for predicting the signal for a head‐mounted transmission chamber system, allowing IMRT in‐vivo dosimetry without pretreatment linac time
title_sort simple model for predicting the signal for a head‐mounted transmission chamber system, allowing imrt in‐vivo dosimetry without pretreatment linac time
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875507/
https://www.ncbi.nlm.nih.gov/pubmed/25207413
http://dx.doi.org/10.1120/jacmp.v15i4.4842
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