On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data.
Radiotherapy (RT) is commonly applied for the treatment of glioblastoma multiforme (GBM). Following the planning target volume (PTV) definition procedure standardized in guidelines, a 20% risk of missing non-local recurrences is present. Purpose of this study was to evaluate whether diffusion tensor...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2020-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0227146 |
| _version_ | 1818833559546232832 |
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| author | Barbara Witulla Nicole Goerig Florian Putz Benjamin Frey Tobias Engelhorn Arnd Dörfler Michael Uder Rainer Fietkau Christoph Bert Frederik Bernd Laun |
| author_facet | Barbara Witulla Nicole Goerig Florian Putz Benjamin Frey Tobias Engelhorn Arnd Dörfler Michael Uder Rainer Fietkau Christoph Bert Frederik Bernd Laun |
| author_sort | Barbara Witulla |
| collection | DOAJ |
| description | Radiotherapy (RT) is commonly applied for the treatment of glioblastoma multiforme (GBM). Following the planning target volume (PTV) definition procedure standardized in guidelines, a 20% risk of missing non-local recurrences is present. Purpose of this study was to evaluate whether diffusion tensor imaging (DTI)-based fiber tracking may be beneficial for PTV definition taking into account the prediction of distant recurrences. 56 GBM patients were examined with magnetic resonance imaging (MRI) including DTI performed before RT after resection of the primary tumor. Follow-up MRIs were acquired in three month intervals. For the seven patients with a distant recurrence, fiber tracking was performed with three algorithms and it was evaluated whether connections existed from the primary tumor region to the distant recurrence. It depended strongly on the used tracking algorithm and the used tracking parameters whether a connection was observed. Most of the connections were weak and thus not usable for PTV definition. Only in one of the seven patients with a recurring tumor, a clear connection was present. It seems unlikely that DTI-based fiber tracking can be beneficial for predicting distant recurrences in the planning of PTVs for glioblastoma multiforme. |
| first_indexed | 2024-12-19T02:20:51Z |
| format | Article |
| id | doaj.art-eb7c63ed9d1f44dc98db3887872db28c |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-19T02:20:51Z |
| publishDate | 2020-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-eb7c63ed9d1f44dc98db3887872db28c2022-12-21T20:40:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01151e022714610.1371/journal.pone.0227146On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data.Barbara WitullaNicole GoerigFlorian PutzBenjamin FreyTobias EngelhornArnd DörflerMichael UderRainer FietkauChristoph BertFrederik Bernd LaunRadiotherapy (RT) is commonly applied for the treatment of glioblastoma multiforme (GBM). Following the planning target volume (PTV) definition procedure standardized in guidelines, a 20% risk of missing non-local recurrences is present. Purpose of this study was to evaluate whether diffusion tensor imaging (DTI)-based fiber tracking may be beneficial for PTV definition taking into account the prediction of distant recurrences. 56 GBM patients were examined with magnetic resonance imaging (MRI) including DTI performed before RT after resection of the primary tumor. Follow-up MRIs were acquired in three month intervals. For the seven patients with a distant recurrence, fiber tracking was performed with three algorithms and it was evaluated whether connections existed from the primary tumor region to the distant recurrence. It depended strongly on the used tracking algorithm and the used tracking parameters whether a connection was observed. Most of the connections were weak and thus not usable for PTV definition. Only in one of the seven patients with a recurring tumor, a clear connection was present. It seems unlikely that DTI-based fiber tracking can be beneficial for predicting distant recurrences in the planning of PTVs for glioblastoma multiforme.https://doi.org/10.1371/journal.pone.0227146 |
| spellingShingle | Barbara Witulla Nicole Goerig Florian Putz Benjamin Frey Tobias Engelhorn Arnd Dörfler Michael Uder Rainer Fietkau Christoph Bert Frederik Bernd Laun On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data. PLoS ONE |
| title | On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data. |
| title_full | On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data. |
| title_fullStr | On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data. |
| title_full_unstemmed | On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data. |
| title_short | On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data. |
| title_sort | on ptv definition for glioblastoma based on fiber tracking of diffusion tensor imaging data |
| url | https://doi.org/10.1371/journal.pone.0227146 |
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