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Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT
BACKGROUND: Due to the heterogeneity of patient’s individual respiratory motion pattern in lung stereotactic body radiotherapy (SBRT), treatment planning dose assessment using a traditional four-dimensional computed tomography (4DCT_traditional) images based on a uniform breathing curve may not repr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323842/ https://www.ncbi.nlm.nih.gov/pubmed/30621744 http://dx.doi.org/10.1186/s13014-018-1191-y |
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author | Liu, Gang Hu, Fala Ding, Xuanfeng Li, Xiaoqiang Shao, Qihong Wang, Yuenan Yang, Jing Quan, Hong |
author_facet | Liu, Gang Hu, Fala Ding, Xuanfeng Li, Xiaoqiang Shao, Qihong Wang, Yuenan Yang, Jing Quan, Hong |
author_sort | Liu, Gang |
collection | PubMed |
description | BACKGROUND: Due to the heterogeneity of patient’s individual respiratory motion pattern in lung stereotactic body radiotherapy (SBRT), treatment planning dose assessment using a traditional four-dimensional computed tomography (4DCT_traditional) images based on a uniform breathing curve may not represent the true treatment dose delivered to the patient. The purpose of this study was to evaluate the accumulated dose discrepancy between based on the 4DCT_traditional and true 4DCT (4DCT_true) that incorporated with the patient’s real entire breathing motion. The study also explored a novel 4D robust planning strategy to compensate for such heterogeneity respiratory motion uncertainties. METHODS: Simulated and measured patient specific breathing curves were used to generate 4D targets motion CT images. Volumetric-modulated arc therapy (VMAT) was planned using two arcs. Accumulated dose was obtained by recalculating the plan dose on each individual phase image and then deformed the dose from each phase image to the reference image. The “4 D dose” (D(4D)) and “true dose” (D(true)) were the accumulated dose based on the 4DCT_traditional and 4DCT_true respectively. The average worse case dose discrepancy ([Formula: see text] ) between D(4D) and D(true) in all treatment fraction was calculated to evaluate dosimetric /planning parameters and correlate them with the heterogeneity of respiratory-induced motion patterns. A novel 4D robust optimization strategy for VMAT (4D Ro-VMAT) based on the probability density function(pdf) of breathing curve was proposed to improve the target coverage in the presence of heterogeneity respiratory motion. The data were assessed with a paired t-tests. RESULTS: With increasing breathing amplitude from 5 to 20 mm, target [Formula: see text] , [Formula: see text] increased from 1.59,1.39 to 10.15%,8.66% respectively. When the standard deviation of breathing amplitude increased from 15 to 35% of the mean amplitude, [Formula: see text] , [Formula: see text] increased from 4.06,3.48 to 10.25%,6.63% respectively. The 4D Ro-VMAT plan significantly improve the target dose compared to VMAT plan. CONCLUSION: When the breathing curve amplitude is more than 10 mm and standard deviation of amplitude is higher than 25% of mean amplitude, special care is needed to choose an appropriated dose accumulation approach to evaluate lung SBRT plan target coverage robustness. The proposed 4D Ro_VMAT strategy based on the pdf of patient specific breathing curve could effectively compensate such uncertainties. |
format | Online Article Text |
id | pubmed-6323842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63238422019-01-11 Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT Liu, Gang Hu, Fala Ding, Xuanfeng Li, Xiaoqiang Shao, Qihong Wang, Yuenan Yang, Jing Quan, Hong Radiat Oncol Research BACKGROUND: Due to the heterogeneity of patient’s individual respiratory motion pattern in lung stereotactic body radiotherapy (SBRT), treatment planning dose assessment using a traditional four-dimensional computed tomography (4DCT_traditional) images based on a uniform breathing curve may not represent the true treatment dose delivered to the patient. The purpose of this study was to evaluate the accumulated dose discrepancy between based on the 4DCT_traditional and true 4DCT (4DCT_true) that incorporated with the patient’s real entire breathing motion. The study also explored a novel 4D robust planning strategy to compensate for such heterogeneity respiratory motion uncertainties. METHODS: Simulated and measured patient specific breathing curves were used to generate 4D targets motion CT images. Volumetric-modulated arc therapy (VMAT) was planned using two arcs. Accumulated dose was obtained by recalculating the plan dose on each individual phase image and then deformed the dose from each phase image to the reference image. The “4 D dose” (D(4D)) and “true dose” (D(true)) were the accumulated dose based on the 4DCT_traditional and 4DCT_true respectively. The average worse case dose discrepancy ([Formula: see text] ) between D(4D) and D(true) in all treatment fraction was calculated to evaluate dosimetric /planning parameters and correlate them with the heterogeneity of respiratory-induced motion patterns. A novel 4D robust optimization strategy for VMAT (4D Ro-VMAT) based on the probability density function(pdf) of breathing curve was proposed to improve the target coverage in the presence of heterogeneity respiratory motion. The data were assessed with a paired t-tests. RESULTS: With increasing breathing amplitude from 5 to 20 mm, target [Formula: see text] , [Formula: see text] increased from 1.59,1.39 to 10.15%,8.66% respectively. When the standard deviation of breathing amplitude increased from 15 to 35% of the mean amplitude, [Formula: see text] , [Formula: see text] increased from 4.06,3.48 to 10.25%,6.63% respectively. The 4D Ro-VMAT plan significantly improve the target dose compared to VMAT plan. CONCLUSION: When the breathing curve amplitude is more than 10 mm and standard deviation of amplitude is higher than 25% of mean amplitude, special care is needed to choose an appropriated dose accumulation approach to evaluate lung SBRT plan target coverage robustness. The proposed 4D Ro_VMAT strategy based on the pdf of patient specific breathing curve could effectively compensate such uncertainties. BioMed Central 2019-01-08 /pmc/articles/PMC6323842/ /pubmed/30621744 http://dx.doi.org/10.1186/s13014-018-1191-y Text en © The Author(s). 2019 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 Liu, Gang Hu, Fala Ding, Xuanfeng Li, Xiaoqiang Shao, Qihong Wang, Yuenan Yang, Jing Quan, Hong Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT |
title | Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT |
title_full | Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT |
title_fullStr | Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT |
title_full_unstemmed | Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT |
title_short | Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT |
title_sort | simulation of dosimetry impact of 4dct uncertainty in 4d dose calculation for lung sbrt |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323842/ https://www.ncbi.nlm.nih.gov/pubmed/30621744 http://dx.doi.org/10.1186/s13014-018-1191-y |
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