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A novel probabilistic approach to generating PTV with partial voxel contributions
Radiotherapy treatment planning for use with high-energy photon beams currently employs a binary approach in defining the planning target volume (PTV). We propose a margin concept that takes the beam directions into account, generating beam-dependent PTVs (bdPTVs) on a beam-by-beam basis. The result...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOP Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953212/ https://www.ncbi.nlm.nih.gov/pubmed/28379156 http://dx.doi.org/10.1088/1361-6560/aa6b90 |
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author | Tsang, H S Kamerling, C P Ziegenhein, P Nill, S Oelfke, U |
author_facet | Tsang, H S Kamerling, C P Ziegenhein, P Nill, S Oelfke, U |
author_sort | Tsang, H S |
collection | PubMed |
description | Radiotherapy treatment planning for use with high-energy photon beams currently employs a binary approach in defining the planning target volume (PTV). We propose a margin concept that takes the beam directions into account, generating beam-dependent PTVs (bdPTVs) on a beam-by-beam basis. The resulting degree of overlaps between the bdPTVs are used within the optimisation process; the optimiser effectively considers the same voxel to be both target and organ at risk (OAR) with fractional contributions. We investigate the impact of this novel approach when applied to prostate radiotherapy treatments, and compare treatment plans generated using beam dependent margins to conventional margins. Five prostate patients were used in this planning study, and plans using beam dependent margins improved the sparing of high doses to target-surrounding OARs, though a trade-off in delivering additional low dose to the OARs can be observed. Plans using beam dependent margins are observed to have a slightly reduced target coverage. Nevertheless, all plans are able to satisfy 90% population coverage with the target receiving at least 95% of the prescribed dose to [Formula: see text] . |
format | Online Article Text |
id | pubmed-5953212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | IOP Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-59532122018-05-18 A novel probabilistic approach to generating PTV with partial voxel contributions Tsang, H S Kamerling, C P Ziegenhein, P Nill, S Oelfke, U Phys Med Biol Paper Radiotherapy treatment planning for use with high-energy photon beams currently employs a binary approach in defining the planning target volume (PTV). We propose a margin concept that takes the beam directions into account, generating beam-dependent PTVs (bdPTVs) on a beam-by-beam basis. The resulting degree of overlaps between the bdPTVs are used within the optimisation process; the optimiser effectively considers the same voxel to be both target and organ at risk (OAR) with fractional contributions. We investigate the impact of this novel approach when applied to prostate radiotherapy treatments, and compare treatment plans generated using beam dependent margins to conventional margins. Five prostate patients were used in this planning study, and plans using beam dependent margins improved the sparing of high doses to target-surrounding OARs, though a trade-off in delivering additional low dose to the OARs can be observed. Plans using beam dependent margins are observed to have a slightly reduced target coverage. Nevertheless, all plans are able to satisfy 90% population coverage with the target receiving at least 95% of the prescribed dose to [Formula: see text] . IOP Publishing 2017-06-21 2017-05-22 /pmc/articles/PMC5953212/ /pubmed/28379156 http://dx.doi.org/10.1088/1361-6560/aa6b90 Text en © 2017 Institute of Physics and Engineering in Medicine http://creativecommons.org/licenses/by/3.0/ Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (http://creativecommons.org/licenses/by/3.0) . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
spellingShingle | Paper Tsang, H S Kamerling, C P Ziegenhein, P Nill, S Oelfke, U A novel probabilistic approach to generating PTV with partial voxel contributions |
title | A novel probabilistic approach to generating PTV with partial voxel contributions |
title_full | A novel probabilistic approach to generating PTV with partial voxel contributions |
title_fullStr | A novel probabilistic approach to generating PTV with partial voxel contributions |
title_full_unstemmed | A novel probabilistic approach to generating PTV with partial voxel contributions |
title_short | A novel probabilistic approach to generating PTV with partial voxel contributions |
title_sort | novel probabilistic approach to generating ptv with partial voxel contributions |
topic | Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953212/ https://www.ncbi.nlm.nih.gov/pubmed/28379156 http://dx.doi.org/10.1088/1361-6560/aa6b90 |
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