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Breathing adapted radiotherapy: a 4D gating software for lung cancer
PURPOSE: Physiological respiratory motion of tumors growing in the lung can be corrected with respiratory gating when treated with radiotherapy (RT). The optimal respiratory phase for beam-on may be assessed with a respiratory phase optimizer (RPO), a 4D image processing software developed with this...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3148530/ https://www.ncbi.nlm.nih.gov/pubmed/21702952 http://dx.doi.org/10.1186/1748-717X-6-78 |
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author | Peguret, Nicolas Vock, Jacqueline Vinh-Hung, Vincent Fenoglietto, Pascal Azria, David Zaidi, Habib Wissmeyer, Michael Ratib, Osman Miralbell, Raymond |
author_facet | Peguret, Nicolas Vock, Jacqueline Vinh-Hung, Vincent Fenoglietto, Pascal Azria, David Zaidi, Habib Wissmeyer, Michael Ratib, Osman Miralbell, Raymond |
author_sort | Peguret, Nicolas |
collection | PubMed |
description | PURPOSE: Physiological respiratory motion of tumors growing in the lung can be corrected with respiratory gating when treated with radiotherapy (RT). The optimal respiratory phase for beam-on may be assessed with a respiratory phase optimizer (RPO), a 4D image processing software developed with this purpose. METHODS AND MATERIALS: Fourteen patients with lung cancer were included in the study. Every patient underwent a 4D-CT providing ten datasets of ten phases of the respiratory cycle (0-100% of the cycle). We defined two morphological parameters for comparison of 4D-CT images in different respiratory phases: tumor-volume to lung-volume ratio and tumor-to-spinal cord distance. The RPO automatized the calculations (200 per patient) of these parameters for each phase of the respiratory cycle allowing to determine the optimal interval for RT. RESULTS: Lower lobe lung tumors not attached to the diaphragm presented with the largest motion with breathing. Maximum inspiration was considered the optimal phase for treatment in 4 patients (28.6%). In 7 patients (50%), however, the RPO showed a most favorable volumetric and spatial configuration in phases other than maximum inspiration. In 2 cases (14.4%) the RPO showed no benefit from gating. This tool was not conclusive in only one case. CONCLUSIONS: The RPO software presented in this study can help to determine the optimal respiratory phase for gated RT based on a few simple morphological parameters. Easy to apply in daily routine, it may be a useful tool for selecting patients who might benefit from breathing adapted RT. |
format | Online Article Text |
id | pubmed-3148530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31485302011-08-03 Breathing adapted radiotherapy: a 4D gating software for lung cancer Peguret, Nicolas Vock, Jacqueline Vinh-Hung, Vincent Fenoglietto, Pascal Azria, David Zaidi, Habib Wissmeyer, Michael Ratib, Osman Miralbell, Raymond Radiat Oncol Methodology PURPOSE: Physiological respiratory motion of tumors growing in the lung can be corrected with respiratory gating when treated with radiotherapy (RT). The optimal respiratory phase for beam-on may be assessed with a respiratory phase optimizer (RPO), a 4D image processing software developed with this purpose. METHODS AND MATERIALS: Fourteen patients with lung cancer were included in the study. Every patient underwent a 4D-CT providing ten datasets of ten phases of the respiratory cycle (0-100% of the cycle). We defined two morphological parameters for comparison of 4D-CT images in different respiratory phases: tumor-volume to lung-volume ratio and tumor-to-spinal cord distance. The RPO automatized the calculations (200 per patient) of these parameters for each phase of the respiratory cycle allowing to determine the optimal interval for RT. RESULTS: Lower lobe lung tumors not attached to the diaphragm presented with the largest motion with breathing. Maximum inspiration was considered the optimal phase for treatment in 4 patients (28.6%). In 7 patients (50%), however, the RPO showed a most favorable volumetric and spatial configuration in phases other than maximum inspiration. In 2 cases (14.4%) the RPO showed no benefit from gating. This tool was not conclusive in only one case. CONCLUSIONS: The RPO software presented in this study can help to determine the optimal respiratory phase for gated RT based on a few simple morphological parameters. Easy to apply in daily routine, it may be a useful tool for selecting patients who might benefit from breathing adapted RT. BioMed Central 2011-06-24 /pmc/articles/PMC3148530/ /pubmed/21702952 http://dx.doi.org/10.1186/1748-717X-6-78 Text en Copyright ©2011 Peguret et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Peguret, Nicolas Vock, Jacqueline Vinh-Hung, Vincent Fenoglietto, Pascal Azria, David Zaidi, Habib Wissmeyer, Michael Ratib, Osman Miralbell, Raymond Breathing adapted radiotherapy: a 4D gating software for lung cancer |
title | Breathing adapted radiotherapy: a 4D gating software for lung cancer |
title_full | Breathing adapted radiotherapy: a 4D gating software for lung cancer |
title_fullStr | Breathing adapted radiotherapy: a 4D gating software for lung cancer |
title_full_unstemmed | Breathing adapted radiotherapy: a 4D gating software for lung cancer |
title_short | Breathing adapted radiotherapy: a 4D gating software for lung cancer |
title_sort | breathing adapted radiotherapy: a 4d gating software for lung cancer |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3148530/ https://www.ncbi.nlm.nih.gov/pubmed/21702952 http://dx.doi.org/10.1186/1748-717X-6-78 |
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