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Surface scanning for 3D dose calculation in intraoperative electron radiation therapy

BACKGROUND: Dose calculations in intraoperative electron radiation therapy (IOERT) rely on the conventional assumption of water-equivalent tissues at the applicator end, which defines a flat irradiation surface. However, the shape of the irradiation surface modifies the dose distribution. Our study...

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Autores principales: García-Vázquez, Verónica, Sesé-Lucio, Begoña, Calvo, Felipe A., Vaquero, Juan J., Desco, Manuel, Pascau, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286593/
https://www.ncbi.nlm.nih.gov/pubmed/30526626
http://dx.doi.org/10.1186/s13014-018-1181-0
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author García-Vázquez, Verónica
Sesé-Lucio, Begoña
Calvo, Felipe A.
Vaquero, Juan J.
Desco, Manuel
Pascau, Javier
author_facet García-Vázquez, Verónica
Sesé-Lucio, Begoña
Calvo, Felipe A.
Vaquero, Juan J.
Desco, Manuel
Pascau, Javier
author_sort García-Vázquez, Verónica
collection PubMed
description BACKGROUND: Dose calculations in intraoperative electron radiation therapy (IOERT) rely on the conventional assumption of water-equivalent tissues at the applicator end, which defines a flat irradiation surface. However, the shape of the irradiation surface modifies the dose distribution. Our study explores, for the first time, the use of surface scanning methods for three-dimensional dose calculation of IOERT. METHODS: Two different three-dimensional scanning technologies were evaluated in a simulated IOERT scenario: a tracked conoscopic holography sensor (ConoProbe) and a structured-light three-dimensional scanner (Artec). Dose distributions obtained from computed tomography studies of the surgical field (gold standard) were compared with those calculated under the conventional assumption or from pseudo-computed tomography studies based on surfaces. RESULTS: In the simulated IOERT scenario, the conventional assumption led to an average gamma pass rate of 39.9% for dose values greater than 10% (two configurations, with and without blood in the surgical field). Results improved when considering surfaces in the dose calculation (88.5% for ConoProbe and 92.9% for Artec). CONCLUSIONS: More accurate three-dimensional dose distributions were obtained when considering surfaces in the dose calculation of the simulated surgical field. The structured-light three-dimensional scanner provided the best results in terms of dose distributions. The findings obtained in this specific experimental setup warrant further research on surface scanning in the IOERT context owing to the clinical interest of improving the documentation of the actual IOERT scenario.
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spelling pubmed-62865932018-12-14 Surface scanning for 3D dose calculation in intraoperative electron radiation therapy García-Vázquez, Verónica Sesé-Lucio, Begoña Calvo, Felipe A. Vaquero, Juan J. Desco, Manuel Pascau, Javier Radiat Oncol Research BACKGROUND: Dose calculations in intraoperative electron radiation therapy (IOERT) rely on the conventional assumption of water-equivalent tissues at the applicator end, which defines a flat irradiation surface. However, the shape of the irradiation surface modifies the dose distribution. Our study explores, for the first time, the use of surface scanning methods for three-dimensional dose calculation of IOERT. METHODS: Two different three-dimensional scanning technologies were evaluated in a simulated IOERT scenario: a tracked conoscopic holography sensor (ConoProbe) and a structured-light three-dimensional scanner (Artec). Dose distributions obtained from computed tomography studies of the surgical field (gold standard) were compared with those calculated under the conventional assumption or from pseudo-computed tomography studies based on surfaces. RESULTS: In the simulated IOERT scenario, the conventional assumption led to an average gamma pass rate of 39.9% for dose values greater than 10% (two configurations, with and without blood in the surgical field). Results improved when considering surfaces in the dose calculation (88.5% for ConoProbe and 92.9% for Artec). CONCLUSIONS: More accurate three-dimensional dose distributions were obtained when considering surfaces in the dose calculation of the simulated surgical field. The structured-light three-dimensional scanner provided the best results in terms of dose distributions. The findings obtained in this specific experimental setup warrant further research on surface scanning in the IOERT context owing to the clinical interest of improving the documentation of the actual IOERT scenario. BioMed Central 2018-12-07 /pmc/articles/PMC6286593/ /pubmed/30526626 http://dx.doi.org/10.1186/s13014-018-1181-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
García-Vázquez, Verónica
Sesé-Lucio, Begoña
Calvo, Felipe A.
Vaquero, Juan J.
Desco, Manuel
Pascau, Javier
Surface scanning for 3D dose calculation in intraoperative electron radiation therapy
title Surface scanning for 3D dose calculation in intraoperative electron radiation therapy
title_full Surface scanning for 3D dose calculation in intraoperative electron radiation therapy
title_fullStr Surface scanning for 3D dose calculation in intraoperative electron radiation therapy
title_full_unstemmed Surface scanning for 3D dose calculation in intraoperative electron radiation therapy
title_short Surface scanning for 3D dose calculation in intraoperative electron radiation therapy
title_sort surface scanning for 3d dose calculation in intraoperative electron radiation therapy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286593/
https://www.ncbi.nlm.nih.gov/pubmed/30526626
http://dx.doi.org/10.1186/s13014-018-1181-0
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