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Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm

A commercial electron Monte Carlo (eMC) dose calculation algorithm has become available in Eclipse treatment planning system. The purpose of this work was to evaluate the eMC algorithm and investigate the clinical implementation of this system. The beam modeling of the eMC algorithm was performed fo...

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Autores principales: Zhang, Aizhen, Wen, Ning, Nurushev, Teamour, Burmeister, Jay, Chetty, Indrin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714370/
https://www.ncbi.nlm.nih.gov/pubmed/23470937
http://dx.doi.org/10.1120/jacmp.v14i2.4062
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author Zhang, Aizhen
Wen, Ning
Nurushev, Teamour
Burmeister, Jay
Chetty, Indrin J.
author_facet Zhang, Aizhen
Wen, Ning
Nurushev, Teamour
Burmeister, Jay
Chetty, Indrin J.
author_sort Zhang, Aizhen
collection PubMed
description A commercial electron Monte Carlo (eMC) dose calculation algorithm has become available in Eclipse treatment planning system. The purpose of this work was to evaluate the eMC algorithm and investigate the clinical implementation of this system. The beam modeling of the eMC algorithm was performed for beam energies of 6, 9, 12, 16, and 20 MeV for a Varian Trilogy and all available applicator sizes in the Eclipse treatment planning system. The accuracy of the eMC algorithm was evaluated in a homogeneous water phantom, solid water phantoms containing lung and bone materials, and an anthropomorphic phantom. In addition, dose calculation accuracy was compared between pencil beam (PB) and eMC algorithms in the same treatment planning system for heterogeneous phantoms. The overall agreement between eMC calculations and measurements was within 3%/2 mm, while the PB algorithm had large errors (up to 25%) in predicting dose distributions in the presence of inhomogeneities such as bone and lung. The clinical implementation of the eMC algorithm was investigated by performing treatment planning for 15 patients with lesions in the head and neck, breast, chest wall, and sternum. The dose distributions were calculated using PB and eMC algorithms with no smoothing and all three levels of 3D Gaussian smoothing for comparison. Based on a routine electron beam therapy prescription method, the number of eMC calculated monitor units (MUs) was found to increase with increased 3D Gaussian smoothing levels. 3D Gaussian smoothing greatly improved the visual usability of dose distributions and produced better target coverage. Differences of calculated MUs and dose distributions between eMC and PB algorithms could be significant when oblique beam incidence, surface irregularities, and heterogeneous tissues were present in the treatment plans. In our patient cases, monitor unit differences of up to 7% were observed between PB and eMC algorithms. Monitor unit calculations were also preformed based on point‐dose prescription. The eMC algorithm calculation was characterized by deeper penetration in the low‐density regions, such as lung and air cavities. As a result, the mean dose in the low‐density regions was underestimated using PB algorithm. The eMC computation time ranged from 5 min to 66 min on a single 2.66 GHz desktop, which is comparable with PB algorithm calculation time for the same resolution level. PACS number: 87.55.K‐
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spelling pubmed-57143702018-04-02 Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm Zhang, Aizhen Wen, Ning Nurushev, Teamour Burmeister, Jay Chetty, Indrin J. J Appl Clin Med Phys Radiation Oncology Physics A commercial electron Monte Carlo (eMC) dose calculation algorithm has become available in Eclipse treatment planning system. The purpose of this work was to evaluate the eMC algorithm and investigate the clinical implementation of this system. The beam modeling of the eMC algorithm was performed for beam energies of 6, 9, 12, 16, and 20 MeV for a Varian Trilogy and all available applicator sizes in the Eclipse treatment planning system. The accuracy of the eMC algorithm was evaluated in a homogeneous water phantom, solid water phantoms containing lung and bone materials, and an anthropomorphic phantom. In addition, dose calculation accuracy was compared between pencil beam (PB) and eMC algorithms in the same treatment planning system for heterogeneous phantoms. The overall agreement between eMC calculations and measurements was within 3%/2 mm, while the PB algorithm had large errors (up to 25%) in predicting dose distributions in the presence of inhomogeneities such as bone and lung. The clinical implementation of the eMC algorithm was investigated by performing treatment planning for 15 patients with lesions in the head and neck, breast, chest wall, and sternum. The dose distributions were calculated using PB and eMC algorithms with no smoothing and all three levels of 3D Gaussian smoothing for comparison. Based on a routine electron beam therapy prescription method, the number of eMC calculated monitor units (MUs) was found to increase with increased 3D Gaussian smoothing levels. 3D Gaussian smoothing greatly improved the visual usability of dose distributions and produced better target coverage. Differences of calculated MUs and dose distributions between eMC and PB algorithms could be significant when oblique beam incidence, surface irregularities, and heterogeneous tissues were present in the treatment plans. In our patient cases, monitor unit differences of up to 7% were observed between PB and eMC algorithms. Monitor unit calculations were also preformed based on point‐dose prescription. The eMC algorithm calculation was characterized by deeper penetration in the low‐density regions, such as lung and air cavities. As a result, the mean dose in the low‐density regions was underestimated using PB algorithm. The eMC computation time ranged from 5 min to 66 min on a single 2.66 GHz desktop, which is comparable with PB algorithm calculation time for the same resolution level. PACS number: 87.55.K‐ John Wiley and Sons Inc. 2013-03-04 /pmc/articles/PMC5714370/ /pubmed/23470937 http://dx.doi.org/10.1120/jacmp.v14i2.4062 Text en © 2013 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Zhang, Aizhen
Wen, Ning
Nurushev, Teamour
Burmeister, Jay
Chetty, Indrin J.
Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm
title Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm
title_full Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm
title_fullStr Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm
title_full_unstemmed Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm
title_short Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm
title_sort comprehensive evaluation and clinical implementation of commercially available monte carlo dose calculation algorithm
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714370/
https://www.ncbi.nlm.nih.gov/pubmed/23470937
http://dx.doi.org/10.1120/jacmp.v14i2.4062
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