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Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis
BACKGROUND: The risk factors for radiation pneumonitis (RP) in patients with chronic obstructive pulmonary disease (COPD) are unclear. Mean lung dose (MLD) and percentage of irradiated lung volume are common predictors of RP, but the most accurate dosimetric parameter has not been established. We hy...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625816/ https://www.ncbi.nlm.nih.gov/pubmed/28969651 http://dx.doi.org/10.1186/s13014-017-0891-z |
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author | Uchida, Yasuki Tsugawa, Takuya Tanaka-Mizuno, Sachiko Noma, Kazuo Aoki, Ken Shigemori, Wataru Nakagawa, Hiroaki Kinose, Daisuke Yamaguchi, Masafumi Osawa, Makoto Ogawa, Emiko Nakano, Yasutaka |
author_facet | Uchida, Yasuki Tsugawa, Takuya Tanaka-Mizuno, Sachiko Noma, Kazuo Aoki, Ken Shigemori, Wataru Nakagawa, Hiroaki Kinose, Daisuke Yamaguchi, Masafumi Osawa, Makoto Ogawa, Emiko Nakano, Yasutaka |
author_sort | Uchida, Yasuki |
collection | PubMed |
description | BACKGROUND: The risk factors for radiation pneumonitis (RP) in patients with chronic obstructive pulmonary disease (COPD) are unclear. Mean lung dose (MLD) and percentage of irradiated lung volume are common predictors of RP, but the most accurate dosimetric parameter has not been established. We hypothesized that the total lung volume irradiated without emphysema would influence the onset of RP. METHODS: We retrospectively evaluated 100 patients who received radiotherapy for lung cancer. RP was graded according to the Common Terminology Criteria for Adverse Events (version 4.03). We quantified low attenuation volume (LAV) using quantitative computed tomography analysis. The association between RP and traditional dosimetric parameters including MLD, volume of the lung receiving a dose of ≥2 Gy, ≥ 5 Gy, ≥ 10 Gy, ≥ 20 Gy, and ≥30 Gy, and counterpart measurements of the lung without LAV, were analyzed by logistic regression. We compared each dosimetric parameter for RP using multiple predictive performance measures including area under the receiver operating characteristic curve (AUC) and integrated discrimination improvement (IDI). RESULTS: Of 100 patients, RP of Grades 1, 2, 3, 4, and 5 was diagnosed in 24, 12, 13, 1, and 1 patients, respectively. Compared with traditional dosimetric parameters, counterpart measurements without LAV improved risk prediction of symptomatic RP. The ratio of the lung without LAV receiving ≥30 Gy to the total lung volume without LAV most accurately predicted symptomatic RP (AUC, 0.894; IDI, 0.064). CONCLUSION: Irradiated lung volume without LAV predicted RP more accurately than traditional dosimetric parameters. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13014-017-0891-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5625816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56258162017-10-12 Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis Uchida, Yasuki Tsugawa, Takuya Tanaka-Mizuno, Sachiko Noma, Kazuo Aoki, Ken Shigemori, Wataru Nakagawa, Hiroaki Kinose, Daisuke Yamaguchi, Masafumi Osawa, Makoto Ogawa, Emiko Nakano, Yasutaka Radiat Oncol Research BACKGROUND: The risk factors for radiation pneumonitis (RP) in patients with chronic obstructive pulmonary disease (COPD) are unclear. Mean lung dose (MLD) and percentage of irradiated lung volume are common predictors of RP, but the most accurate dosimetric parameter has not been established. We hypothesized that the total lung volume irradiated without emphysema would influence the onset of RP. METHODS: We retrospectively evaluated 100 patients who received radiotherapy for lung cancer. RP was graded according to the Common Terminology Criteria for Adverse Events (version 4.03). We quantified low attenuation volume (LAV) using quantitative computed tomography analysis. The association between RP and traditional dosimetric parameters including MLD, volume of the lung receiving a dose of ≥2 Gy, ≥ 5 Gy, ≥ 10 Gy, ≥ 20 Gy, and ≥30 Gy, and counterpart measurements of the lung without LAV, were analyzed by logistic regression. We compared each dosimetric parameter for RP using multiple predictive performance measures including area under the receiver operating characteristic curve (AUC) and integrated discrimination improvement (IDI). RESULTS: Of 100 patients, RP of Grades 1, 2, 3, 4, and 5 was diagnosed in 24, 12, 13, 1, and 1 patients, respectively. Compared with traditional dosimetric parameters, counterpart measurements without LAV improved risk prediction of symptomatic RP. The ratio of the lung without LAV receiving ≥30 Gy to the total lung volume without LAV most accurately predicted symptomatic RP (AUC, 0.894; IDI, 0.064). CONCLUSION: Irradiated lung volume without LAV predicted RP more accurately than traditional dosimetric parameters. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13014-017-0891-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-10-02 /pmc/articles/PMC5625816/ /pubmed/28969651 http://dx.doi.org/10.1186/s13014-017-0891-z Text en © The Author(s). 2017 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 Uchida, Yasuki Tsugawa, Takuya Tanaka-Mizuno, Sachiko Noma, Kazuo Aoki, Ken Shigemori, Wataru Nakagawa, Hiroaki Kinose, Daisuke Yamaguchi, Masafumi Osawa, Makoto Ogawa, Emiko Nakano, Yasutaka Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis |
title | Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis |
title_full | Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis |
title_fullStr | Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis |
title_full_unstemmed | Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis |
title_short | Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis |
title_sort | exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625816/ https://www.ncbi.nlm.nih.gov/pubmed/28969651 http://dx.doi.org/10.1186/s13014-017-0891-z |
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