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The photon dose calculation algorithm used in breast radiotherapy has significant impact on the parameters of radiobiological models
The comparison of the pencil beam dose calculation algorithm with modified Batho heterogeneity correction (PBC‐MB) and the analytical anisotropic algorithm (AAA) and the mutual comparison of advanced dose calculation algorithms used in breast radiotherapy have focused on the differences between the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875495/ https://www.ncbi.nlm.nih.gov/pubmed/25207416 http://dx.doi.org/10.1120/jacmp.v15i4.4853 |
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author | Petillion, Saskia Swinnen, Ans Defraene, Gilles Verhoeven, Karolien Weltens, Caroline den Heuvel, Frank Van |
author_facet | Petillion, Saskia Swinnen, Ans Defraene, Gilles Verhoeven, Karolien Weltens, Caroline den Heuvel, Frank Van |
author_sort | Petillion, Saskia |
collection | PubMed |
description | The comparison of the pencil beam dose calculation algorithm with modified Batho heterogeneity correction (PBC‐MB) and the analytical anisotropic algorithm (AAA) and the mutual comparison of advanced dose calculation algorithms used in breast radiotherapy have focused on the differences between the physical dose distributions. Studies on the radiobiological impact of the algorithm (both on the tumor control and the moderate breast fibrosis prediction) are lacking. We, therefore, investigated the radiobiological impact of the dose calculation algorithm in whole breast radiotherapy. The clinical dose distributions of 30 breast cancer patients, calculated with PBC‐MB, were recalculated with fixed monitor units using more advanced algorithms: AAA and Acuros XB. For the latter, both dose reporting modes were used (i.e., dose‐to‐medium and dose‐to‐water). Next, the tumor control probability (TCP) and the normal tissue complication probability (NTCP) of each dose distribution were calculated with the Poisson model and with the relative seriality model, respectively. The endpoint for the NTCP calculation was moderate breast fibrosis five years post treatment. The differences were checked for significance with the paired t‐test. The more advanced algorithms predicted a significantly lower TCP and NTCP of moderate breast fibrosis then found during the corresponding clinical follow‐up study based on PBC calculations. The differences varied between 1% and 2.1% for the TCP and between 2.9% and 5.5% for the NTCP of moderate breast fibrosis. The significant differences were eliminated by determination of algorithm‐specific model parameters using least square fitting. Application of the new parameters on a second group of 30 breast cancer patients proved their appropriateness. In this study, we assessed the impact of the dose calculation algorithms used in whole breast radiotherapy on the parameters of the radiobiological models. The radiobiological impact was eliminated by determination of algorithm specific model parameters. PACS numbers: 87.55.dh, 87.55.dk |
format | Online Article Text |
id | pubmed-5875495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58754952018-04-02 The photon dose calculation algorithm used in breast radiotherapy has significant impact on the parameters of radiobiological models Petillion, Saskia Swinnen, Ans Defraene, Gilles Verhoeven, Karolien Weltens, Caroline den Heuvel, Frank Van J Appl Clin Med Phys Radiation Oncology Physics The comparison of the pencil beam dose calculation algorithm with modified Batho heterogeneity correction (PBC‐MB) and the analytical anisotropic algorithm (AAA) and the mutual comparison of advanced dose calculation algorithms used in breast radiotherapy have focused on the differences between the physical dose distributions. Studies on the radiobiological impact of the algorithm (both on the tumor control and the moderate breast fibrosis prediction) are lacking. We, therefore, investigated the radiobiological impact of the dose calculation algorithm in whole breast radiotherapy. The clinical dose distributions of 30 breast cancer patients, calculated with PBC‐MB, were recalculated with fixed monitor units using more advanced algorithms: AAA and Acuros XB. For the latter, both dose reporting modes were used (i.e., dose‐to‐medium and dose‐to‐water). Next, the tumor control probability (TCP) and the normal tissue complication probability (NTCP) of each dose distribution were calculated with the Poisson model and with the relative seriality model, respectively. The endpoint for the NTCP calculation was moderate breast fibrosis five years post treatment. The differences were checked for significance with the paired t‐test. The more advanced algorithms predicted a significantly lower TCP and NTCP of moderate breast fibrosis then found during the corresponding clinical follow‐up study based on PBC calculations. The differences varied between 1% and 2.1% for the TCP and between 2.9% and 5.5% for the NTCP of moderate breast fibrosis. The significant differences were eliminated by determination of algorithm‐specific model parameters using least square fitting. Application of the new parameters on a second group of 30 breast cancer patients proved their appropriateness. In this study, we assessed the impact of the dose calculation algorithms used in whole breast radiotherapy on the parameters of the radiobiological models. The radiobiological impact was eliminated by determination of algorithm specific model parameters. PACS numbers: 87.55.dh, 87.55.dk John Wiley and Sons Inc. 2014-07-08 /pmc/articles/PMC5875495/ /pubmed/25207416 http://dx.doi.org/10.1120/jacmp.v15i4.4853 Text en © 2014 The Authors. This is an open access article under the terms of the 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 Petillion, Saskia Swinnen, Ans Defraene, Gilles Verhoeven, Karolien Weltens, Caroline den Heuvel, Frank Van The photon dose calculation algorithm used in breast radiotherapy has significant impact on the parameters of radiobiological models |
title | The photon dose calculation algorithm used in breast radiotherapy has significant impact on the parameters of radiobiological models |
title_full | The photon dose calculation algorithm used in breast radiotherapy has significant impact on the parameters of radiobiological models |
title_fullStr | The photon dose calculation algorithm used in breast radiotherapy has significant impact on the parameters of radiobiological models |
title_full_unstemmed | The photon dose calculation algorithm used in breast radiotherapy has significant impact on the parameters of radiobiological models |
title_short | The photon dose calculation algorithm used in breast radiotherapy has significant impact on the parameters of radiobiological models |
title_sort | photon dose calculation algorithm used in breast radiotherapy has significant impact on the parameters of radiobiological models |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875495/ https://www.ncbi.nlm.nih.gov/pubmed/25207416 http://dx.doi.org/10.1120/jacmp.v15i4.4853 |
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