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Dosimetric parameters predict radiation-induced choanal stenosis in patients with nasopharyngeal carcinoma

BACKGROUND: Radiation-induced choanal stenosis (RICS) severely decreases life quality of patients with nasopharyngeal carcinoma (NPC) and originates from nasal mucositis, which depends on radiation dose. This self-controlled study aimed to find the correlations between dosimetric parameters and RICS...

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Autores principales: Chang, Hui, Chen, Kai, Tao, Ya-lan, Han, Fei, Ye, Wei-jun, Gao, Yuan-hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275446/
https://www.ncbi.nlm.nih.gov/pubmed/32503596
http://dx.doi.org/10.1186/s13014-020-01512-8
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author Chang, Hui
Chen, Kai
Tao, Ya-lan
Han, Fei
Ye, Wei-jun
Gao, Yuan-hong
author_facet Chang, Hui
Chen, Kai
Tao, Ya-lan
Han, Fei
Ye, Wei-jun
Gao, Yuan-hong
author_sort Chang, Hui
collection PubMed
description BACKGROUND: Radiation-induced choanal stenosis (RICS) severely decreases life quality of patients with nasopharyngeal carcinoma (NPC) and originates from nasal mucositis, which depends on radiation dose. This self-controlled study aimed to find the correlations between dosimetric parameters and RICS. METHODS: Totally 49 NPC patients treated with intensity-modulated radiotherapy from May 2010 to Aug. 2013 and diagnosed with RICS during follow-up were enrolled into this study. Minimum point dose, maximum point dose, mean dose (Dmean), dose covering ≥33% volume (D33), dose covering ≥66% volume (D66), and volume receiving ≥60 Gy (V60) were compared between the nasal cavities with and without RICS, through paired t-test. The parameters with difference would enter receiver operating characteristic analysis to determine their cutoff values. Then predicting abilities of the cutoff values were tested by Chi-square test. RESULT: The nasal cavities with RICS appeared to have higher Dmean, D33, D66 and V60, compared with those without RICS (P values were 0.014, 0.003, 0.006 and 0.010). Dmean ≥54.22 Gy, D33 ≥ 61.96 Gy, D66 ≥ 46.50 Gy and V60 ≥ 48.13% were demonstrated to be related with a higher risk of RICS. CONCLUSION: Dmean, D33, D66 and V60 of nasal cavity might be used as predictors of RICS. Their values needed to be controlled whenever possible, for ameliorating life quality of NPC patients.
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spelling pubmed-72754462020-06-08 Dosimetric parameters predict radiation-induced choanal stenosis in patients with nasopharyngeal carcinoma Chang, Hui Chen, Kai Tao, Ya-lan Han, Fei Ye, Wei-jun Gao, Yuan-hong Radiat Oncol Research BACKGROUND: Radiation-induced choanal stenosis (RICS) severely decreases life quality of patients with nasopharyngeal carcinoma (NPC) and originates from nasal mucositis, which depends on radiation dose. This self-controlled study aimed to find the correlations between dosimetric parameters and RICS. METHODS: Totally 49 NPC patients treated with intensity-modulated radiotherapy from May 2010 to Aug. 2013 and diagnosed with RICS during follow-up were enrolled into this study. Minimum point dose, maximum point dose, mean dose (Dmean), dose covering ≥33% volume (D33), dose covering ≥66% volume (D66), and volume receiving ≥60 Gy (V60) were compared between the nasal cavities with and without RICS, through paired t-test. The parameters with difference would enter receiver operating characteristic analysis to determine their cutoff values. Then predicting abilities of the cutoff values were tested by Chi-square test. RESULT: The nasal cavities with RICS appeared to have higher Dmean, D33, D66 and V60, compared with those without RICS (P values were 0.014, 0.003, 0.006 and 0.010). Dmean ≥54.22 Gy, D33 ≥ 61.96 Gy, D66 ≥ 46.50 Gy and V60 ≥ 48.13% were demonstrated to be related with a higher risk of RICS. CONCLUSION: Dmean, D33, D66 and V60 of nasal cavity might be used as predictors of RICS. Their values needed to be controlled whenever possible, for ameliorating life quality of NPC patients. BioMed Central 2020-06-05 /pmc/articles/PMC7275446/ /pubmed/32503596 http://dx.doi.org/10.1186/s13014-020-01512-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Chang, Hui
Chen, Kai
Tao, Ya-lan
Han, Fei
Ye, Wei-jun
Gao, Yuan-hong
Dosimetric parameters predict radiation-induced choanal stenosis in patients with nasopharyngeal carcinoma
title Dosimetric parameters predict radiation-induced choanal stenosis in patients with nasopharyngeal carcinoma
title_full Dosimetric parameters predict radiation-induced choanal stenosis in patients with nasopharyngeal carcinoma
title_fullStr Dosimetric parameters predict radiation-induced choanal stenosis in patients with nasopharyngeal carcinoma
title_full_unstemmed Dosimetric parameters predict radiation-induced choanal stenosis in patients with nasopharyngeal carcinoma
title_short Dosimetric parameters predict radiation-induced choanal stenosis in patients with nasopharyngeal carcinoma
title_sort dosimetric parameters predict radiation-induced choanal stenosis in patients with nasopharyngeal carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275446/
https://www.ncbi.nlm.nih.gov/pubmed/32503596
http://dx.doi.org/10.1186/s13014-020-01512-8
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