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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2019-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0217354 |
| _version_ | 1831587995614969856 |
|---|---|
| author | Cameron Meaney Marek Stastna Mehran Kardar Mohammad Kohandel |
| author_facet | Cameron Meaney Marek Stastna Mehran Kardar Mohammad Kohandel |
| author_sort | Cameron Meaney |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-17T22:05:03Z |
| format | Article |
| id | doaj.art-b5d527797455407b9d2e15c9b764afd3 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-17T22:05:03Z |
| publishDate | 2019-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-b5d527797455407b9d2e15c9b764afd32022-12-21T21:30:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01146e021735410.1371/journal.pone.0217354Spatial optimization for radiation therapy of brain tumours.Cameron MeaneyMarek StastnaMehran KardarMohammad KohandelGlioblastomas 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.https://doi.org/10.1371/journal.pone.0217354 |
| spellingShingle | Cameron Meaney Marek Stastna Mehran Kardar Mohammad Kohandel Spatial optimization for radiation therapy of brain tumours. PLoS ONE |
| 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 |
| url | https://doi.org/10.1371/journal.pone.0217354 |
| work_keys_str_mv | AT cameronmeaney spatialoptimizationforradiationtherapyofbraintumours AT marekstastna spatialoptimizationforradiationtherapyofbraintumours AT mehrankardar spatialoptimizationforradiationtherapyofbraintumours AT mohammadkohandel spatialoptimizationforradiationtherapyofbraintumours |