Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Tsang, H S, Kamerling, C P, Ziegenhein, P, Nill, S, Oelfke, U
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2017
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
_version_ 1783323328665092096
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
work_keys_str_mv AT tsanghs anovelprobabilisticapproachtogeneratingptvwithpartialvoxelcontributions
AT kamerlingcp anovelprobabilisticapproachtogeneratingptvwithpartialvoxelcontributions
AT ziegenheinp anovelprobabilisticapproachtogeneratingptvwithpartialvoxelcontributions
AT nills anovelprobabilisticapproachtogeneratingptvwithpartialvoxelcontributions
AT oelfkeu anovelprobabilisticapproachtogeneratingptvwithpartialvoxelcontributions
AT tsanghs novelprobabilisticapproachtogeneratingptvwithpartialvoxelcontributions
AT kamerlingcp novelprobabilisticapproachtogeneratingptvwithpartialvoxelcontributions
AT ziegenheinp novelprobabilisticapproachtogeneratingptvwithpartialvoxelcontributions
AT nills novelprobabilisticapproachtogeneratingptvwithpartialvoxelcontributions
AT oelfkeu novelprobabilisticapproachtogeneratingptvwithpartialvoxelcontributions