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Impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer
The purpose of this study was to determine the impacts of lung and tumor volumes on normal lung dosimetry in three‐dimensional conformal radiotherapy (3DCRT), step‐and‐shoot intensity‐modulated radiotherapy (ssIMRT), and single full‐arc volumetric‐modulated arc therapy (VMAT) in treatment of nonsmal...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874952/ https://www.ncbi.nlm.nih.gov/pubmed/28656685 http://dx.doi.org/10.1002/acm2.12104 |
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author | Lei, Weijie Jia, Jing Cao, Ruifen Song, Jing Hu, Liqin |
author_facet | Lei, Weijie Jia, Jing Cao, Ruifen Song, Jing Hu, Liqin |
author_sort | Lei, Weijie |
collection | PubMed |
description | The purpose of this study was to determine the impacts of lung and tumor volumes on normal lung dosimetry in three‐dimensional conformal radiotherapy (3DCRT), step‐and‐shoot intensity‐modulated radiotherapy (ssIMRT), and single full‐arc volumetric‐modulated arc therapy (VMAT) in treatment of nonsmall cell lung cancers (NSCLC). All plans were designed to deliver a total dose of 66 Gy in 33 fractions to PTV for the 32 NSCLC patients with various total (bilateral) lung volumes, planning target volumes (PTVs), and PTV locations. The ratio of the lung volume (total lung volume excluding the PTV volume) to the PTV volume (LTR) was evaluated to represent the impacts in three steps. (a) The least squares method was used to fit mean lung doses (MLDs) to PTVs or LTRs with power‐law function in the population cohort (N = 32). (b) The population cohort was divided into three groups by LTRs based on first step and then by PTVs, respectively. The MLDs were compared among the three techniques in each LTR group (LG) and each PTV group (PG). (c) The power‐law correlation was tested by using the adaptive radiation therapy (ART) planning data of individual patients in the individual cohort (N = 4). Different curves of power‐law function with high R(2) values were observed between averaged LTRs and averaged MLDs for 3DCRT, ssIMRT, and VMAT, respectively. In the individual cohort, high R(2) values of fitting curves were also observed in individual patients in ART, although the trend was highly patient‐specific. There was a more obvious correlation between LTR and MLD than that between PTV and MLD. |
format | Online Article Text |
id | pubmed-5874952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58749522018-04-02 Impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer Lei, Weijie Jia, Jing Cao, Ruifen Song, Jing Hu, Liqin J Appl Clin Med Phys Radiation Oncology Physics The purpose of this study was to determine the impacts of lung and tumor volumes on normal lung dosimetry in three‐dimensional conformal radiotherapy (3DCRT), step‐and‐shoot intensity‐modulated radiotherapy (ssIMRT), and single full‐arc volumetric‐modulated arc therapy (VMAT) in treatment of nonsmall cell lung cancers (NSCLC). All plans were designed to deliver a total dose of 66 Gy in 33 fractions to PTV for the 32 NSCLC patients with various total (bilateral) lung volumes, planning target volumes (PTVs), and PTV locations. The ratio of the lung volume (total lung volume excluding the PTV volume) to the PTV volume (LTR) was evaluated to represent the impacts in three steps. (a) The least squares method was used to fit mean lung doses (MLDs) to PTVs or LTRs with power‐law function in the population cohort (N = 32). (b) The population cohort was divided into three groups by LTRs based on first step and then by PTVs, respectively. The MLDs were compared among the three techniques in each LTR group (LG) and each PTV group (PG). (c) The power‐law correlation was tested by using the adaptive radiation therapy (ART) planning data of individual patients in the individual cohort (N = 4). Different curves of power‐law function with high R(2) values were observed between averaged LTRs and averaged MLDs for 3DCRT, ssIMRT, and VMAT, respectively. In the individual cohort, high R(2) values of fitting curves were also observed in individual patients in ART, although the trend was highly patient‐specific. There was a more obvious correlation between LTR and MLD than that between PTV and MLD. John Wiley and Sons Inc. 2017-06-28 /pmc/articles/PMC5874952/ /pubmed/28656685 http://dx.doi.org/10.1002/acm2.12104 Text en © 2017 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Lei, Weijie Jia, Jing Cao, Ruifen Song, Jing Hu, Liqin Impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer |
title | Impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer |
title_full | Impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer |
title_fullStr | Impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer |
title_full_unstemmed | Impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer |
title_short | Impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer |
title_sort | impacts of lung and tumor volumes on lung dosimetry for nonsmall cell lung cancer |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874952/ https://www.ncbi.nlm.nih.gov/pubmed/28656685 http://dx.doi.org/10.1002/acm2.12104 |
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