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Combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using CyberKnife

We have investigated the combined effect of tissue heterogeneity and its variation associated with geometric error in stereotactic body radiotherapy (SBRT) for lung cancer. The treatment plans for eight lung cancer patients were calculated using effective path length (EPL) correction and Monte Carlo...

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Autores principales: Kang, Ki Mun, Jeong, Bae Kwon, Choi, Hoon‐Sik, Yoo, Seung Hoon, Hwang, Ui‐Jung, Lim, Young Kyung, Jeong, Hojin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690167/
https://www.ncbi.nlm.nih.gov/pubmed/26699300
http://dx.doi.org/10.1120/jacmp.v16i5.5397
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author Kang, Ki Mun
Jeong, Bae Kwon
Choi, Hoon‐Sik
Yoo, Seung Hoon
Hwang, Ui‐Jung
Lim, Young Kyung
Jeong, Hojin
author_facet Kang, Ki Mun
Jeong, Bae Kwon
Choi, Hoon‐Sik
Yoo, Seung Hoon
Hwang, Ui‐Jung
Lim, Young Kyung
Jeong, Hojin
author_sort Kang, Ki Mun
collection PubMed
description We have investigated the combined effect of tissue heterogeneity and its variation associated with geometric error in stereotactic body radiotherapy (SBRT) for lung cancer. The treatment plans for eight lung cancer patients were calculated using effective path length (EPL) correction and Monte Carlo (MC) algorithms, with both having the same beam configuration for each patient. These two kinds of plans for individual patients were then subsequently recalculated with adding systematic and random geometric errors. In the ordinary treatment plans calculated with no geometric offset, the EPL calculations, compared with the MC calculations, largely overestimated the doses to PTV by [Formula: see text] , whereas the overestimation were markedly lower in GTV by [Formula: see text] due to relatively higher density of GTV than of PTV. When recalculating the plans for individual patients with assigning the systematic and random geometric errors, no significant changes in the relative dose distribution, except for overall shift, were observed in the EPL calculations, whereas largely altered in the MC calculations with a consistent increase in dose to GTV. Considering the better accuracy of MC than EPL algorithms, the present results demonstrated the strong coupling of tissue heterogeneity and geometric error, thereby emphasizing the essential need for simultaneous correction for tissue heterogeneity and geometric targeting error in SBRT of lung cancer. PACS numbers: 87.55.D, 87.55.kh, 87.53.Ly, 87.55.‐x
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spelling pubmed-56901672018-04-02 Combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using CyberKnife Kang, Ki Mun Jeong, Bae Kwon Choi, Hoon‐Sik Yoo, Seung Hoon Hwang, Ui‐Jung Lim, Young Kyung Jeong, Hojin J Appl Clin Med Phys Radiation Oncology Physics We have investigated the combined effect of tissue heterogeneity and its variation associated with geometric error in stereotactic body radiotherapy (SBRT) for lung cancer. The treatment plans for eight lung cancer patients were calculated using effective path length (EPL) correction and Monte Carlo (MC) algorithms, with both having the same beam configuration for each patient. These two kinds of plans for individual patients were then subsequently recalculated with adding systematic and random geometric errors. In the ordinary treatment plans calculated with no geometric offset, the EPL calculations, compared with the MC calculations, largely overestimated the doses to PTV by [Formula: see text] , whereas the overestimation were markedly lower in GTV by [Formula: see text] due to relatively higher density of GTV than of PTV. When recalculating the plans for individual patients with assigning the systematic and random geometric errors, no significant changes in the relative dose distribution, except for overall shift, were observed in the EPL calculations, whereas largely altered in the MC calculations with a consistent increase in dose to GTV. Considering the better accuracy of MC than EPL algorithms, the present results demonstrated the strong coupling of tissue heterogeneity and geometric error, thereby emphasizing the essential need for simultaneous correction for tissue heterogeneity and geometric targeting error in SBRT of lung cancer. PACS numbers: 87.55.D, 87.55.kh, 87.53.Ly, 87.55.‐x John Wiley and Sons Inc. 2015-09-08 /pmc/articles/PMC5690167/ /pubmed/26699300 http://dx.doi.org/10.1120/jacmp.v16i5.5397 Text en © 2015 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Kang, Ki Mun
Jeong, Bae Kwon
Choi, Hoon‐Sik
Yoo, Seung Hoon
Hwang, Ui‐Jung
Lim, Young Kyung
Jeong, Hojin
Combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using CyberKnife
title Combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using CyberKnife
title_full Combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using CyberKnife
title_fullStr Combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using CyberKnife
title_full_unstemmed Combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using CyberKnife
title_short Combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using CyberKnife
title_sort combination effects of tissue heterogeneity and geometric targeting error in stereotactic body radiotherapy for lung cancer using cyberknife
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690167/
https://www.ncbi.nlm.nih.gov/pubmed/26699300
http://dx.doi.org/10.1120/jacmp.v16i5.5397
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