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A clinical study of lung cancer dose calculation accuracy with Monte Carlo simulation
BACKGROUND: The accuracy of dose calculation is crucial to the quality of treatment planning and, consequently, to the dose delivered to patients undergoing radiation therapy. Current general calculation algorithms such as Pencil Beam Convolution (PBC) and Collapsed Cone Convolution (CCC) have short...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4276018/ https://www.ncbi.nlm.nih.gov/pubmed/25511623 http://dx.doi.org/10.1186/s13014-014-0287-2 |
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author | Zhao, Yanqun Qi, Guohai Yin, Gang Wang, Xianliang Wang, Pei Li, Jian Xiao, Mingyong Li, Jie Kang, Shengwei Liao, Xiongfei |
author_facet | Zhao, Yanqun Qi, Guohai Yin, Gang Wang, Xianliang Wang, Pei Li, Jian Xiao, Mingyong Li, Jie Kang, Shengwei Liao, Xiongfei |
author_sort | Zhao, Yanqun |
collection | PubMed |
description | BACKGROUND: The accuracy of dose calculation is crucial to the quality of treatment planning and, consequently, to the dose delivered to patients undergoing radiation therapy. Current general calculation algorithms such as Pencil Beam Convolution (PBC) and Collapsed Cone Convolution (CCC) have shortcomings in regard to severe inhomogeneities, particularly in those regions where charged particle equilibrium does not hold. The aim of this study was to evaluate the accuracy of the PBC and CCC algorithms in lung cancer radiotherapy using Monte Carlo (MC) technology. METHODS AND MATERIALS: Four treatment plans were designed using Oncentra Masterplan TPS for each patient. Two intensity-modulated radiation therapy (IMRT) plans were developed using the PBC and CCC algorithms, and two three-dimensional conformal therapy (3DCRT) plans were developed using the PBC and CCC algorithms. The DICOM-RT files of the treatment plans were exported to the Monte Carlo system to recalculate. The dose distributions of GTV, PTV and ipsilateral lung calculated by the TPS and MC were compared. RESULT: For 3DCRT and IMRT plans, the mean dose differences for GTV between the CCC and MC increased with decreasing of the GTV volume. For IMRT, the mean dose differences were found to be higher than that of 3DCRT. The CCC algorithm overestimated the GTV mean dose by approximately 3% for IMRT. For 3DCRT plans, when the volume of the GTV was greater than 100 cm(3), the mean doses calculated by CCC and MC almost have no difference. PBC shows large deviations from the MC algorithm. For the dose to the ipsilateral lung, the CCC algorithm overestimated the dose to the entire lung, and the PBC algorithm overestimated V(20) but underestimated V(5); the difference in V(10) was not statistically significant. CONCLUSIONS: PBC substantially overestimates the dose to the tumour, but the CCC is similar to the MC simulation. It is recommended that the treatment plans for lung cancer be developed using an advanced dose calculation algorithm other than PBC. MC can accurately calculate the dose distribution in lung cancer and can provide a notably effective tool for benchmarking the performance of other dose calculation algorithms within patients. |
format | Online Article Text |
id | pubmed-4276018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42760182014-12-25 A clinical study of lung cancer dose calculation accuracy with Monte Carlo simulation Zhao, Yanqun Qi, Guohai Yin, Gang Wang, Xianliang Wang, Pei Li, Jian Xiao, Mingyong Li, Jie Kang, Shengwei Liao, Xiongfei Radiat Oncol Research BACKGROUND: The accuracy of dose calculation is crucial to the quality of treatment planning and, consequently, to the dose delivered to patients undergoing radiation therapy. Current general calculation algorithms such as Pencil Beam Convolution (PBC) and Collapsed Cone Convolution (CCC) have shortcomings in regard to severe inhomogeneities, particularly in those regions where charged particle equilibrium does not hold. The aim of this study was to evaluate the accuracy of the PBC and CCC algorithms in lung cancer radiotherapy using Monte Carlo (MC) technology. METHODS AND MATERIALS: Four treatment plans were designed using Oncentra Masterplan TPS for each patient. Two intensity-modulated radiation therapy (IMRT) plans were developed using the PBC and CCC algorithms, and two three-dimensional conformal therapy (3DCRT) plans were developed using the PBC and CCC algorithms. The DICOM-RT files of the treatment plans were exported to the Monte Carlo system to recalculate. The dose distributions of GTV, PTV and ipsilateral lung calculated by the TPS and MC were compared. RESULT: For 3DCRT and IMRT plans, the mean dose differences for GTV between the CCC and MC increased with decreasing of the GTV volume. For IMRT, the mean dose differences were found to be higher than that of 3DCRT. The CCC algorithm overestimated the GTV mean dose by approximately 3% for IMRT. For 3DCRT plans, when the volume of the GTV was greater than 100 cm(3), the mean doses calculated by CCC and MC almost have no difference. PBC shows large deviations from the MC algorithm. For the dose to the ipsilateral lung, the CCC algorithm overestimated the dose to the entire lung, and the PBC algorithm overestimated V(20) but underestimated V(5); the difference in V(10) was not statistically significant. CONCLUSIONS: PBC substantially overestimates the dose to the tumour, but the CCC is similar to the MC simulation. It is recommended that the treatment plans for lung cancer be developed using an advanced dose calculation algorithm other than PBC. MC can accurately calculate the dose distribution in lung cancer and can provide a notably effective tool for benchmarking the performance of other dose calculation algorithms within patients. BioMed Central 2014-12-16 /pmc/articles/PMC4276018/ /pubmed/25511623 http://dx.doi.org/10.1186/s13014-014-0287-2 Text en © Zhao et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Zhao, Yanqun Qi, Guohai Yin, Gang Wang, Xianliang Wang, Pei Li, Jian Xiao, Mingyong Li, Jie Kang, Shengwei Liao, Xiongfei A clinical study of lung cancer dose calculation accuracy with Monte Carlo simulation |
title | A clinical study of lung cancer dose calculation accuracy with Monte Carlo simulation |
title_full | A clinical study of lung cancer dose calculation accuracy with Monte Carlo simulation |
title_fullStr | A clinical study of lung cancer dose calculation accuracy with Monte Carlo simulation |
title_full_unstemmed | A clinical study of lung cancer dose calculation accuracy with Monte Carlo simulation |
title_short | A clinical study of lung cancer dose calculation accuracy with Monte Carlo simulation |
title_sort | clinical study of lung cancer dose calculation accuracy with monte carlo simulation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4276018/ https://www.ncbi.nlm.nih.gov/pubmed/25511623 http://dx.doi.org/10.1186/s13014-014-0287-2 |
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