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Optimizing the effective spot size and the dosimetric leaf gap of the AcurosXB algorithm for VMAT treatment planning
PURPOSE: The aim of this study is to provide and test a new methodology to adjust the AcurosXB beam model for VMAT treatment plans. METHOD: The effective target spot size of the AcurosXB v15 algorithm was adjusted in order to minimize the difference between calculated and measured penumbras. The dos...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200512/ https://www.ncbi.nlm.nih.gov/pubmed/34042259 http://dx.doi.org/10.1002/acm2.13256 |
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author | Passal, V. Barreau, M. Tiplica, T. Dufreneix, S. |
author_facet | Passal, V. Barreau, M. Tiplica, T. Dufreneix, S. |
author_sort | Passal, V. |
collection | PubMed |
description | PURPOSE: The aim of this study is to provide and test a new methodology to adjust the AcurosXB beam model for VMAT treatment plans. METHOD: The effective target spot size of the AcurosXB v15 algorithm was adjusted in order to minimize the difference between calculated and measured penumbras. The dosimetric leaf gap (DLG) was adjusted using the asynchronous oscillating sweeping gap tests defined in the literature and the MLC transmission was measured. The impact of the four parameters on the small field output factors was assessed using a design of experiment methodology. Patient quality controls were performed for the three beam models investigated including two energies and two MLC models. RESULTS: Effective target spot sizes differed from the manufacturer recommendations and strongly depended on the MLC model considered. DLG values ranged from 0.7 to 2.3 mm and were found to be larger than the ones based on the sweeping gap tests. All parameters were found to significantly influence the calculated output factors, especially for the 0.5 cm × 0.5 cm field size. Interactions were also identified for fields smaller than 2 cm × 2 cm, suggesting that adjusting the parameters on the small field output factors should be done with caution. All patient quality controls passed the universal action limit of 90%. CONCLUSION: The methodology provided is simple to implement in clinical practice. It was validated for three beam models covering a large variety of treatment types and localizations. |
format | Online Article Text |
id | pubmed-8200512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82005122021-06-15 Optimizing the effective spot size and the dosimetric leaf gap of the AcurosXB algorithm for VMAT treatment planning Passal, V. Barreau, M. Tiplica, T. Dufreneix, S. J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: The aim of this study is to provide and test a new methodology to adjust the AcurosXB beam model for VMAT treatment plans. METHOD: The effective target spot size of the AcurosXB v15 algorithm was adjusted in order to minimize the difference between calculated and measured penumbras. The dosimetric leaf gap (DLG) was adjusted using the asynchronous oscillating sweeping gap tests defined in the literature and the MLC transmission was measured. The impact of the four parameters on the small field output factors was assessed using a design of experiment methodology. Patient quality controls were performed for the three beam models investigated including two energies and two MLC models. RESULTS: Effective target spot sizes differed from the manufacturer recommendations and strongly depended on the MLC model considered. DLG values ranged from 0.7 to 2.3 mm and were found to be larger than the ones based on the sweeping gap tests. All parameters were found to significantly influence the calculated output factors, especially for the 0.5 cm × 0.5 cm field size. Interactions were also identified for fields smaller than 2 cm × 2 cm, suggesting that adjusting the parameters on the small field output factors should be done with caution. All patient quality controls passed the universal action limit of 90%. CONCLUSION: The methodology provided is simple to implement in clinical practice. It was validated for three beam models covering a large variety of treatment types and localizations. John Wiley and Sons Inc. 2021-05-27 /pmc/articles/PMC8200512/ /pubmed/34042259 http://dx.doi.org/10.1002/acm2.13256 Text en © 2021 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Passal, V. Barreau, M. Tiplica, T. Dufreneix, S. Optimizing the effective spot size and the dosimetric leaf gap of the AcurosXB algorithm for VMAT treatment planning |
title | Optimizing the effective spot size and the dosimetric leaf gap of the AcurosXB algorithm for VMAT treatment planning |
title_full | Optimizing the effective spot size and the dosimetric leaf gap of the AcurosXB algorithm for VMAT treatment planning |
title_fullStr | Optimizing the effective spot size and the dosimetric leaf gap of the AcurosXB algorithm for VMAT treatment planning |
title_full_unstemmed | Optimizing the effective spot size and the dosimetric leaf gap of the AcurosXB algorithm for VMAT treatment planning |
title_short | Optimizing the effective spot size and the dosimetric leaf gap of the AcurosXB algorithm for VMAT treatment planning |
title_sort | optimizing the effective spot size and the dosimetric leaf gap of the acurosxb algorithm for vmat treatment planning |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200512/ https://www.ncbi.nlm.nih.gov/pubmed/34042259 http://dx.doi.org/10.1002/acm2.13256 |
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