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Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer

BACKGROUND: Both patient-specific dose recalculation and γ passing rate analysis are important for the quality assurance (QA) of intensity modulated radiotherapy (IMRT) plans. The aim of this study was to analyse the correlation between the γ passing rates and the volumes of air cavities (V(air)) an...

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Autores principales: Shen, Zhengwen, Tan, Xia, Li, Shi, Tian, Xiumei, Luo, Huanli, Wang, Ying, Jin, Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296469/
https://www.ncbi.nlm.nih.gov/pubmed/34289863
http://dx.doi.org/10.1186/s13014-021-01861-y
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author Shen, Zhengwen
Tan, Xia
Li, Shi
Tian, Xiumei
Luo, Huanli
Wang, Ying
Jin, Fu
author_facet Shen, Zhengwen
Tan, Xia
Li, Shi
Tian, Xiumei
Luo, Huanli
Wang, Ying
Jin, Fu
author_sort Shen, Zhengwen
collection PubMed
description BACKGROUND: Both patient-specific dose recalculation and γ passing rate analysis are important for the quality assurance (QA) of intensity modulated radiotherapy (IMRT) plans. The aim of this study was to analyse the correlation between the γ passing rates and the volumes of air cavities (V(air)) and bony structures (V(bone)) in target volume of head and neck cancer. METHODS: Twenty nasopharyngeal carcinoma and twenty nasal natural killer T-cell lymphoma patients were enrolled in this study. Nine-field sliding window IMRT plans were produced and the dose distributions were calculated by anisotropic analytical algorithm (AAA), Acuros XB algorithm (AXB) and SciMoCa based on the Monte Carlo (MC) technique. The dose distributions and γ passing rates of the targets, organs at risk, air cavities and bony structures were compared among the different algorithms. RESULTS: The γ values obtained with AAA and AXB were 95.6 ± 1.9% and 96.2 ± 1.7%, respectively, with 3%/2 mm criteria (p > 0.05). There were significant differences (p < 0.05) in the γ values between AAA and AXB in the air cavities (86.6 ± 9.4% vs. 98.0 ± 1.7%) and bony structures (82.7 ± 13.5% vs. 99.0 ± 1.7%). Using AAA, the γ values were proportional to the natural logarithm of V(air) (R(2) = 0.674) and inversely proportional to the natural logarithm of V(bone) (R(2) = 0.816). When the V(air) in the targets was smaller than approximately 80 cc or the V(bone) in the targets was larger than approximately 6 cc, the γ values of AAA were below 95%. Using AXB, no significant relationship was found between the γ values and V(air) or V(bone). CONCLUSION: In clinical head and neck IMRT QA, greater attention should be paid to the effect of V(air) and V(bone) in the targets on the γ passing rates when using different dose calculation algorithms.
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spelling pubmed-82964692021-07-22 Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer Shen, Zhengwen Tan, Xia Li, Shi Tian, Xiumei Luo, Huanli Wang, Ying Jin, Fu Radiat Oncol Research BACKGROUND: Both patient-specific dose recalculation and γ passing rate analysis are important for the quality assurance (QA) of intensity modulated radiotherapy (IMRT) plans. The aim of this study was to analyse the correlation between the γ passing rates and the volumes of air cavities (V(air)) and bony structures (V(bone)) in target volume of head and neck cancer. METHODS: Twenty nasopharyngeal carcinoma and twenty nasal natural killer T-cell lymphoma patients were enrolled in this study. Nine-field sliding window IMRT plans were produced and the dose distributions were calculated by anisotropic analytical algorithm (AAA), Acuros XB algorithm (AXB) and SciMoCa based on the Monte Carlo (MC) technique. The dose distributions and γ passing rates of the targets, organs at risk, air cavities and bony structures were compared among the different algorithms. RESULTS: The γ values obtained with AAA and AXB were 95.6 ± 1.9% and 96.2 ± 1.7%, respectively, with 3%/2 mm criteria (p > 0.05). There were significant differences (p < 0.05) in the γ values between AAA and AXB in the air cavities (86.6 ± 9.4% vs. 98.0 ± 1.7%) and bony structures (82.7 ± 13.5% vs. 99.0 ± 1.7%). Using AAA, the γ values were proportional to the natural logarithm of V(air) (R(2) = 0.674) and inversely proportional to the natural logarithm of V(bone) (R(2) = 0.816). When the V(air) in the targets was smaller than approximately 80 cc or the V(bone) in the targets was larger than approximately 6 cc, the γ values of AAA were below 95%. Using AXB, no significant relationship was found between the γ values and V(air) or V(bone). CONCLUSION: In clinical head and neck IMRT QA, greater attention should be paid to the effect of V(air) and V(bone) in the targets on the γ passing rates when using different dose calculation algorithms. BioMed Central 2021-07-21 /pmc/articles/PMC8296469/ /pubmed/34289863 http://dx.doi.org/10.1186/s13014-021-01861-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Shen, Zhengwen
Tan, Xia
Li, Shi
Tian, Xiumei
Luo, Huanli
Wang, Ying
Jin, Fu
Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer
title Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer
title_full Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer
title_fullStr Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer
title_full_unstemmed Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer
title_short Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer
title_sort correlation between the γ passing rates of imrt plans and the volumes of air cavities and bony structures in head and neck cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296469/
https://www.ncbi.nlm.nih.gov/pubmed/34289863
http://dx.doi.org/10.1186/s13014-021-01861-y
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