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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944332/ https://www.ncbi.nlm.nih.gov/pubmed/31905221 http://dx.doi.org/10.1371/journal.pone.0227146 |
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author | Witulla, Barbara Goerig, Nicole Putz, Florian Frey, Benjamin Engelhorn, Tobias Dörfler, Arnd Uder, Michael Fietkau, Rainer Bert, Christoph Laun, Frederik Bernd |
author_facet | Witulla, Barbara Goerig, Nicole Putz, Florian Frey, Benjamin Engelhorn, Tobias Dörfler, Arnd Uder, Michael Fietkau, Rainer Bert, Christoph Laun, Frederik Bernd |
author_sort | Witulla, Barbara |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6944332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69443322020-01-17 On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data Witulla, Barbara Goerig, Nicole Putz, Florian Frey, Benjamin Engelhorn, Tobias Dörfler, Arnd Uder, Michael Fietkau, Rainer Bert, Christoph Laun, Frederik Bernd PLoS One Research Article 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. Public Library of Science 2020-01-06 /pmc/articles/PMC6944332/ /pubmed/31905221 http://dx.doi.org/10.1371/journal.pone.0227146 Text en © 2020 Witulla 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 Witulla, Barbara Goerig, Nicole Putz, Florian Frey, Benjamin Engelhorn, Tobias Dörfler, Arnd Uder, Michael Fietkau, Rainer Bert, Christoph Laun, Frederik Bernd On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data |
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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944332/ https://www.ncbi.nlm.nih.gov/pubmed/31905221 http://dx.doi.org/10.1371/journal.pone.0227146 |
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