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Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images
BACKGROUND: Intensity modulated proton therapy (IMPT) of head and neck (H&N) tumors may benefit from plan adaptation to correct for the dose perturbations caused by weight loss and tumor volume changes observed in these patients. As cone beam CT (CBCT) is increasingly considered in proton therap...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851791/ https://www.ncbi.nlm.nih.gov/pubmed/27129305 http://dx.doi.org/10.1186/s13014-016-0641-7 |
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author | Kurz, Christopher Nijhuis, Reinoud Reiner, Michael Ganswindt, Ute Thieke, Christian Belka, Claus Parodi, Katia Landry, Guillaume |
author_facet | Kurz, Christopher Nijhuis, Reinoud Reiner, Michael Ganswindt, Ute Thieke, Christian Belka, Claus Parodi, Katia Landry, Guillaume |
author_sort | Kurz, Christopher |
collection | PubMed |
description | BACKGROUND: Intensity modulated proton therapy (IMPT) of head and neck (H&N) tumors may benefit from plan adaptation to correct for the dose perturbations caused by weight loss and tumor volume changes observed in these patients. As cone beam CT (CBCT) is increasingly considered in proton therapy, it may be possible to use available CBCT images following intensity correction for plan adaptation. This is the first study exploring IMPT plan adaptation on CBCT images corrected and delineated by deformable image registration of the planning CT (pCT) to the CBCT, yielding a virtual CT (vCT). METHODS: A Morphons algorithm was used to deform the pCTs and corresponding delineations of 9 H&N cancer patients to a weekly CBCT acquired within ±3 days of a control replanning CT scan (rpCT). The IMPT treatment plans were adapted using the vCT and the adapted and original plans were recalculated on the rpCT for dose/volume parameter evaluation of the impact of adaptation. RESULTS: On the rpCT, the adapted plans were equivalent to the original plans in terms of target volumes D(95) and V(95), but showed a significant reduction of D(2) in these volumes. OAR doses were mostly equivalent or reduced. In particular, the adapted plans did not reduce parotid gland D(mean), but the dose to the optical system. For three patients the spinal cord or brain stem received higher, though well below tolerance, maximum dose. Subsequent tightening of the treatment planning constraints for these OARs on new vCT-adapted plans did not degrade target coverage and yielded pCT equivalent plans on the vCT. CONCLUSIONS: An offline automated procedure to generate an adapted IMPT plan on CBCT images was developed and investigated. When evaluating the adapted plan on a control rpCT we observed reduced D(2) in target volumes as major improvement. OAR sparing was only partially improved by the procedure. Despite potential limitations in the accuracy of the vCT approach, an improved quality of the adapted plans could be achieved. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-016-0641-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4851791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48517912016-05-01 Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images Kurz, Christopher Nijhuis, Reinoud Reiner, Michael Ganswindt, Ute Thieke, Christian Belka, Claus Parodi, Katia Landry, Guillaume Radiat Oncol Research BACKGROUND: Intensity modulated proton therapy (IMPT) of head and neck (H&N) tumors may benefit from plan adaptation to correct for the dose perturbations caused by weight loss and tumor volume changes observed in these patients. As cone beam CT (CBCT) is increasingly considered in proton therapy, it may be possible to use available CBCT images following intensity correction for plan adaptation. This is the first study exploring IMPT plan adaptation on CBCT images corrected and delineated by deformable image registration of the planning CT (pCT) to the CBCT, yielding a virtual CT (vCT). METHODS: A Morphons algorithm was used to deform the pCTs and corresponding delineations of 9 H&N cancer patients to a weekly CBCT acquired within ±3 days of a control replanning CT scan (rpCT). The IMPT treatment plans were adapted using the vCT and the adapted and original plans were recalculated on the rpCT for dose/volume parameter evaluation of the impact of adaptation. RESULTS: On the rpCT, the adapted plans were equivalent to the original plans in terms of target volumes D(95) and V(95), but showed a significant reduction of D(2) in these volumes. OAR doses were mostly equivalent or reduced. In particular, the adapted plans did not reduce parotid gland D(mean), but the dose to the optical system. For three patients the spinal cord or brain stem received higher, though well below tolerance, maximum dose. Subsequent tightening of the treatment planning constraints for these OARs on new vCT-adapted plans did not degrade target coverage and yielded pCT equivalent plans on the vCT. CONCLUSIONS: An offline automated procedure to generate an adapted IMPT plan on CBCT images was developed and investigated. When evaluating the adapted plan on a control rpCT we observed reduced D(2) in target volumes as major improvement. OAR sparing was only partially improved by the procedure. Despite potential limitations in the accuracy of the vCT approach, an improved quality of the adapted plans could be achieved. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-016-0641-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-30 /pmc/articles/PMC4851791/ /pubmed/27129305 http://dx.doi.org/10.1186/s13014-016-0641-7 Text en © Kurz et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Kurz, Christopher Nijhuis, Reinoud Reiner, Michael Ganswindt, Ute Thieke, Christian Belka, Claus Parodi, Katia Landry, Guillaume Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images |
title | Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images |
title_full | Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images |
title_fullStr | Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images |
title_full_unstemmed | Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images |
title_short | Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images |
title_sort | feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam ct images |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851791/ https://www.ncbi.nlm.nih.gov/pubmed/27129305 http://dx.doi.org/10.1186/s13014-016-0641-7 |
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