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A method of respiratory phase optimization for better dose sparing of organs at risks: A validation study in patients with lung cancer
BACKGROUND: To propose an effective and simple cost value function to determine an optimal respiratory phase for lung treatment using either respiratory gating or breath-hold technique. RESULTS: The optimized phase was obtained at a phase close to end inhalation in 11 out of 15 patients. For the res...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5787457/ https://www.ncbi.nlm.nih.gov/pubmed/29416607 http://dx.doi.org/10.18632/oncotarget.23353 |
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author | Kang, Seong-Hee Kim, Siyong Kim, Dong-Su Kim, Tae-Ho Park, So-Hyun Shin, Dong-Seok Kim, Kyeong-Hyeon Cho, Min-Seok Kim, YeonSil Suh, Tae Suk |
author_facet | Kang, Seong-Hee Kim, Siyong Kim, Dong-Su Kim, Tae-Ho Park, So-Hyun Shin, Dong-Seok Kim, Kyeong-Hyeon Cho, Min-Seok Kim, YeonSil Suh, Tae Suk |
author_sort | Kang, Seong-Hee |
collection | PubMed |
description | BACKGROUND: To propose an effective and simple cost value function to determine an optimal respiratory phase for lung treatment using either respiratory gating or breath-hold technique. RESULTS: The optimized phase was obtained at a phase close to end inhalation in 11 out of 15 patients. For the rest of patients, the optimized phase was obtained at a phase close to end exhalation indicating that optimal phase can be patient specific. The mean doses of the Organs-at-risk (OARs) significantly decreased at the optimized phase without compromising the planning target volume (PTV) coverage (about 8% for all 3 OARs considered). MATERIALS AND METHODS: Fifteen lung patients were included for the feasibility test of the cost function. For all patients and all phases, delineation of the target volume and selected OARs such as esophagus, heart, and spinal cord was performed, and then cost values were calculated for all phases. After the breathing phases were ranked according to the cost values obtained, the relationship between score and dose distribution was evaluated by comparing dose volume histogram (DVH). CONCLUSIONS: The proposed cost value function can play an important role in choosing an optimal phase with minimal effort, that is, without actual plan optimization at all phases. |
format | Online Article Text |
id | pubmed-5787457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-57874572018-02-07 A method of respiratory phase optimization for better dose sparing of organs at risks: A validation study in patients with lung cancer Kang, Seong-Hee Kim, Siyong Kim, Dong-Su Kim, Tae-Ho Park, So-Hyun Shin, Dong-Seok Kim, Kyeong-Hyeon Cho, Min-Seok Kim, YeonSil Suh, Tae Suk Oncotarget Research Paper BACKGROUND: To propose an effective and simple cost value function to determine an optimal respiratory phase for lung treatment using either respiratory gating or breath-hold technique. RESULTS: The optimized phase was obtained at a phase close to end inhalation in 11 out of 15 patients. For the rest of patients, the optimized phase was obtained at a phase close to end exhalation indicating that optimal phase can be patient specific. The mean doses of the Organs-at-risk (OARs) significantly decreased at the optimized phase without compromising the planning target volume (PTV) coverage (about 8% for all 3 OARs considered). MATERIALS AND METHODS: Fifteen lung patients were included for the feasibility test of the cost function. For all patients and all phases, delineation of the target volume and selected OARs such as esophagus, heart, and spinal cord was performed, and then cost values were calculated for all phases. After the breathing phases were ranked according to the cost values obtained, the relationship between score and dose distribution was evaluated by comparing dose volume histogram (DVH). CONCLUSIONS: The proposed cost value function can play an important role in choosing an optimal phase with minimal effort, that is, without actual plan optimization at all phases. Impact Journals LLC 2017-12-17 /pmc/articles/PMC5787457/ /pubmed/29416607 http://dx.doi.org/10.18632/oncotarget.23353 Text en Copyright: © 2018 Kang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Kang, Seong-Hee Kim, Siyong Kim, Dong-Su Kim, Tae-Ho Park, So-Hyun Shin, Dong-Seok Kim, Kyeong-Hyeon Cho, Min-Seok Kim, YeonSil Suh, Tae Suk A method of respiratory phase optimization for better dose sparing of organs at risks: A validation study in patients with lung cancer |
title | A method of respiratory phase optimization for better dose sparing of organs at risks: A validation study in patients with lung cancer |
title_full | A method of respiratory phase optimization for better dose sparing of organs at risks: A validation study in patients with lung cancer |
title_fullStr | A method of respiratory phase optimization for better dose sparing of organs at risks: A validation study in patients with lung cancer |
title_full_unstemmed | A method of respiratory phase optimization for better dose sparing of organs at risks: A validation study in patients with lung cancer |
title_short | A method of respiratory phase optimization for better dose sparing of organs at risks: A validation study in patients with lung cancer |
title_sort | method of respiratory phase optimization for better dose sparing of organs at risks: a validation study in patients with lung cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5787457/ https://www.ncbi.nlm.nih.gov/pubmed/29416607 http://dx.doi.org/10.18632/oncotarget.23353 |
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