Cargando…

Comparison between two different algorithms used for pretreatment QA via aSi portal images

Several algorithms exist to perform quality assurance for volumetric‐modulated arc therapy (VMAT) treatments based on electronic portal imaging devices (EPID). These algorithms are used to compare doses (convert into water, GLAaS) and fluences (in amorphous silicon (aSi), Varian portal dosimetry). T...

Descripción completa

Detalles Bibliográficos
Autores principales: Merheb, Charbel, Chevillard, Clément, Ksouri, Wassim, Fawzi, Maher, Bollet, Marc, Toledano, Alain
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/PMC5690134/
https://www.ncbi.nlm.nih.gov/pubmed/26103481
http://dx.doi.org/10.1120/jacmp.v16i3.5202
_version_ 1783279537754210304
author Merheb, Charbel
Chevillard, Clément
Ksouri, Wassim
Fawzi, Maher
Bollet, Marc
Toledano, Alain
author_facet Merheb, Charbel
Chevillard, Clément
Ksouri, Wassim
Fawzi, Maher
Bollet, Marc
Toledano, Alain
author_sort Merheb, Charbel
collection PubMed
description Several algorithms exist to perform quality assurance for volumetric‐modulated arc therapy (VMAT) treatments based on electronic portal imaging devices (EPID). These algorithms are used to compare doses (convert into water, GLAaS) and fluences (in amorphous silicon (aSi), Varian portal dosimetry). The aim of this study is to compare the two methods using clinical data. In this study, Varian portal dosimetry (VPD) and Epiqa solutions were compared. We used a same set of patient images data treated with 6 MV and 20 MV photon energies and different locations. The response of the portal imaging device was also investigated with different field sizes, monitor units, dose rates, sag effect, and linac daily output. All images were acquired on an electronic portal imaging device (EPID) positioned at source detector distance (SDD) of 100 cm. A virtual water phantom was used for Epiqa to calculate the dose matrices at the maximum depth doses [Formula: see text]. The 2D gamma evaluation index (GAI) was performed to quantitatively compare the results given by the two solutions. The response of the EPID gave a good agreement with Epiqa (deviation less than 1%) for MU greater than 20 for both 6 MV and 20 MV photon energies. For VPD, the upward sloping trend showed a good agreement for MU higher than 50. Dose rate evaluations for both methods gave a deviation of, respectively, 0.4 and 0.5 % for 6 MV and 20 MV. The gamma criteria of 3 mm for distance to agreement and 3 % for dose difference was, as mean [Formula: see text] , [Formula: see text] and [Formula: see text] for VPD and Epiqa, respectively, for 6 MV photon energy. The mean values of the gamma criteria for the collected data using 20 MV photon energy were, respectively, [Formula: see text] and [Formula: see text] for VPD and Epiqa. The output constancy deviation correction (a [Formula: see text] reference field plan to obtain absorbed dose despite the linac monitor daily variations) showed a mean deviation of, respectively, [Formula: see text] and [Formula: see text] for 6 MV and 20 MV photon energies. For sag effect, a slight improvement was noticed for realignment of the integrated image and was [Formula: see text] for 6 MV and [Formula: see text] for 20 MV. The clinical data were used for pretreatment QA with the two systems, both VPD and Epiqa software, showed acceptable and similar results for low and high energies. Furthermore, Epiqa shows better linearity response for low MU. PACS number: 87.53.Bn, 87.55.km, 87.57.uq
format Online
Article
Text
id pubmed-5690134
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-56901342018-04-02 Comparison between two different algorithms used for pretreatment QA via aSi portal images Merheb, Charbel Chevillard, Clément Ksouri, Wassim Fawzi, Maher Bollet, Marc Toledano, Alain J Appl Clin Med Phys Radiation Oncology Physics Several algorithms exist to perform quality assurance for volumetric‐modulated arc therapy (VMAT) treatments based on electronic portal imaging devices (EPID). These algorithms are used to compare doses (convert into water, GLAaS) and fluences (in amorphous silicon (aSi), Varian portal dosimetry). The aim of this study is to compare the two methods using clinical data. In this study, Varian portal dosimetry (VPD) and Epiqa solutions were compared. We used a same set of patient images data treated with 6 MV and 20 MV photon energies and different locations. The response of the portal imaging device was also investigated with different field sizes, monitor units, dose rates, sag effect, and linac daily output. All images were acquired on an electronic portal imaging device (EPID) positioned at source detector distance (SDD) of 100 cm. A virtual water phantom was used for Epiqa to calculate the dose matrices at the maximum depth doses [Formula: see text]. The 2D gamma evaluation index (GAI) was performed to quantitatively compare the results given by the two solutions. The response of the EPID gave a good agreement with Epiqa (deviation less than 1%) for MU greater than 20 for both 6 MV and 20 MV photon energies. For VPD, the upward sloping trend showed a good agreement for MU higher than 50. Dose rate evaluations for both methods gave a deviation of, respectively, 0.4 and 0.5 % for 6 MV and 20 MV. The gamma criteria of 3 mm for distance to agreement and 3 % for dose difference was, as mean [Formula: see text] , [Formula: see text] and [Formula: see text] for VPD and Epiqa, respectively, for 6 MV photon energy. The mean values of the gamma criteria for the collected data using 20 MV photon energy were, respectively, [Formula: see text] and [Formula: see text] for VPD and Epiqa. The output constancy deviation correction (a [Formula: see text] reference field plan to obtain absorbed dose despite the linac monitor daily variations) showed a mean deviation of, respectively, [Formula: see text] and [Formula: see text] for 6 MV and 20 MV photon energies. For sag effect, a slight improvement was noticed for realignment of the integrated image and was [Formula: see text] for 6 MV and [Formula: see text] for 20 MV. The clinical data were used for pretreatment QA with the two systems, both VPD and Epiqa software, showed acceptable and similar results for low and high energies. Furthermore, Epiqa shows better linearity response for low MU. PACS number: 87.53.Bn, 87.55.km, 87.57.uq John Wiley and Sons Inc. 2015-05-08 /pmc/articles/PMC5690134/ /pubmed/26103481 http://dx.doi.org/10.1120/jacmp.v16i3.5202 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
Merheb, Charbel
Chevillard, Clément
Ksouri, Wassim
Fawzi, Maher
Bollet, Marc
Toledano, Alain
Comparison between two different algorithms used for pretreatment QA via aSi portal images
title Comparison between two different algorithms used for pretreatment QA via aSi portal images
title_full Comparison between two different algorithms used for pretreatment QA via aSi portal images
title_fullStr Comparison between two different algorithms used for pretreatment QA via aSi portal images
title_full_unstemmed Comparison between two different algorithms used for pretreatment QA via aSi portal images
title_short Comparison between two different algorithms used for pretreatment QA via aSi portal images
title_sort comparison between two different algorithms used for pretreatment qa via asi portal images
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690134/
https://www.ncbi.nlm.nih.gov/pubmed/26103481
http://dx.doi.org/10.1120/jacmp.v16i3.5202
work_keys_str_mv AT merhebcharbel comparisonbetweentwodifferentalgorithmsusedforpretreatmentqaviaasiportalimages
AT chevillardclement comparisonbetweentwodifferentalgorithmsusedforpretreatmentqaviaasiportalimages
AT ksouriwassim comparisonbetweentwodifferentalgorithmsusedforpretreatmentqaviaasiportalimages
AT fawzimaher comparisonbetweentwodifferentalgorithmsusedforpretreatmentqaviaasiportalimages
AT bolletmarc comparisonbetweentwodifferentalgorithmsusedforpretreatmentqaviaasiportalimages
AT toledanoalain comparisonbetweentwodifferentalgorithmsusedforpretreatmentqaviaasiportalimages