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A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data
We introduce an approach for global fitting of the recently published high-throughput and high accuracy clonogenic cell-survival data for therapeutic scanned proton beams. Our fitting procedure accounts for the correlation between the cell-survival, the absorbed (physical) dose and the proton linear...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567137/ https://www.ncbi.nlm.nih.gov/pubmed/28827691 http://dx.doi.org/10.1038/s41598-017-08622-6 |
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author | Abolfath, Ramin Peeler, Christopher R. Newpower, Mark Bronk, Lawrence Grosshans, David Mohan, Radhe |
author_facet | Abolfath, Ramin Peeler, Christopher R. Newpower, Mark Bronk, Lawrence Grosshans, David Mohan, Radhe |
author_sort | Abolfath, Ramin |
collection | PubMed |
description | We introduce an approach for global fitting of the recently published high-throughput and high accuracy clonogenic cell-survival data for therapeutic scanned proton beams. Our fitting procedure accounts for the correlation between the cell-survival, the absorbed (physical) dose and the proton linear energy transfer (LET). The fitting polynomials and constraints have been constructed upon generalization of the microdosimetric kinetic model (gMKM) adapted to account for the low energy and high lineal-energy spectrum of the beam where the current radiobiological models may underestimate the reported relative biological effectiveness (RBE). The parameters (α, β) of the linear-quadratic (LQ) model calculated by the presented method reveal a smooth transition from low to high LETs which is an advantage of the current method over methods previously employed to fit the same clonogenic data. Finally, the presented approach provides insight into underlying microscopic mechanisms which, with future study, may help to elucidate radiobiological responses along the Bragg curve and resolve discrepancies between experimental data and current RBE models. |
format | Online Article Text |
id | pubmed-5567137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55671372017-09-06 A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data Abolfath, Ramin Peeler, Christopher R. Newpower, Mark Bronk, Lawrence Grosshans, David Mohan, Radhe Sci Rep Article We introduce an approach for global fitting of the recently published high-throughput and high accuracy clonogenic cell-survival data for therapeutic scanned proton beams. Our fitting procedure accounts for the correlation between the cell-survival, the absorbed (physical) dose and the proton linear energy transfer (LET). The fitting polynomials and constraints have been constructed upon generalization of the microdosimetric kinetic model (gMKM) adapted to account for the low energy and high lineal-energy spectrum of the beam where the current radiobiological models may underestimate the reported relative biological effectiveness (RBE). The parameters (α, β) of the linear-quadratic (LQ) model calculated by the presented method reveal a smooth transition from low to high LETs which is an advantage of the current method over methods previously employed to fit the same clonogenic data. Finally, the presented approach provides insight into underlying microscopic mechanisms which, with future study, may help to elucidate radiobiological responses along the Bragg curve and resolve discrepancies between experimental data and current RBE models. Nature Publishing Group UK 2017-08-21 /pmc/articles/PMC5567137/ /pubmed/28827691 http://dx.doi.org/10.1038/s41598-017-08622-6 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Abolfath, Ramin Peeler, Christopher R. Newpower, Mark Bronk, Lawrence Grosshans, David Mohan, Radhe A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data |
title | A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data |
title_full | A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data |
title_fullStr | A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data |
title_full_unstemmed | A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data |
title_short | A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data |
title_sort | model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567137/ https://www.ncbi.nlm.nih.gov/pubmed/28827691 http://dx.doi.org/10.1038/s41598-017-08622-6 |
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