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Spatial optimization for radiation therapy of brain tumours

Glioblastomas are the most common primary brain tumours. They are known for their highly aggressive growth and invasion, leading to short survival times. Treatments for glioblastomas commonly involve a combination of surgical intervention, chemotherapy, and external beam radiation therapy (XRT). Pre...

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Detalles Bibliográficos
Autores principales: Meaney, Cameron, Stastna, Marek, Kardar, Mehran, Kohandel, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599149/
https://www.ncbi.nlm.nih.gov/pubmed/31251755
http://dx.doi.org/10.1371/journal.pone.0217354
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author Meaney, Cameron
Stastna, Marek
Kardar, Mehran
Kohandel, Mohammad
author_facet Meaney, Cameron
Stastna, Marek
Kardar, Mehran
Kohandel, Mohammad
author_sort Meaney, Cameron
collection PubMed
description Glioblastomas are the most common primary brain tumours. They are known for their highly aggressive growth and invasion, leading to short survival times. Treatments for glioblastomas commonly involve a combination of surgical intervention, chemotherapy, and external beam radiation therapy (XRT). Previous works have not only successfully modelled the natural growth of glioblastomas in vivo, but also show potential for the prediction of response to radiation prior to treatment. This suggests that the efficacy of XRT can be optimized before treatment in order to yield longer survival times. However, while current efforts focus on optimal scheduling of radiotherapy treatment, they do not include a similarly sophisticated spatial optimization. In an effort to improve XRT, we present a method for the spatial optimization of radiation profiles. We expand upon previous results in the general problem and examine the more physically reasonable cases of 1-step and 2-step radiation profiles during the first and second XRT fractions. The results show that by including spatial optimization in XRT, while retaining a constant prescribed total dose amount, we are able to increase the total cell kill from the clinically-applied uniform case.
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spelling pubmed-65991492019-07-12 Spatial optimization for radiation therapy of brain tumours Meaney, Cameron Stastna, Marek Kardar, Mehran Kohandel, Mohammad PLoS One Research Article Glioblastomas are the most common primary brain tumours. They are known for their highly aggressive growth and invasion, leading to short survival times. Treatments for glioblastomas commonly involve a combination of surgical intervention, chemotherapy, and external beam radiation therapy (XRT). Previous works have not only successfully modelled the natural growth of glioblastomas in vivo, but also show potential for the prediction of response to radiation prior to treatment. This suggests that the efficacy of XRT can be optimized before treatment in order to yield longer survival times. However, while current efforts focus on optimal scheduling of radiotherapy treatment, they do not include a similarly sophisticated spatial optimization. In an effort to improve XRT, we present a method for the spatial optimization of radiation profiles. We expand upon previous results in the general problem and examine the more physically reasonable cases of 1-step and 2-step radiation profiles during the first and second XRT fractions. The results show that by including spatial optimization in XRT, while retaining a constant prescribed total dose amount, we are able to increase the total cell kill from the clinically-applied uniform case. Public Library of Science 2019-06-28 /pmc/articles/PMC6599149/ /pubmed/31251755 http://dx.doi.org/10.1371/journal.pone.0217354 Text en © 2019 Meaney et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Meaney, Cameron
Stastna, Marek
Kardar, Mehran
Kohandel, Mohammad
Spatial optimization for radiation therapy of brain tumours
title Spatial optimization for radiation therapy of brain tumours
title_full Spatial optimization for radiation therapy of brain tumours
title_fullStr Spatial optimization for radiation therapy of brain tumours
title_full_unstemmed Spatial optimization for radiation therapy of brain tumours
title_short Spatial optimization for radiation therapy of brain tumours
title_sort spatial optimization for radiation therapy of brain tumours
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599149/
https://www.ncbi.nlm.nih.gov/pubmed/31251755
http://dx.doi.org/10.1371/journal.pone.0217354
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