A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data
Abstract 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 prot...
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Nature Portfolio
2017
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oai:doaj.org-article:278dd389321844a594cc893cd747aaef2021-12-02T12:30:17ZA model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data10.1038/s41598-017-08622-62045-2322https://doaj.org/article/278dd389321844a594cc893cd747aaef2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08622-6https://doaj.org/toc/2045-2322Abstract 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.Ramin AbolfathChristopher R. PeelerMark NewpowerLawrence BronkDavid GrosshansRadhe MohanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017) |
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DOAJ |
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DOAJ |
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EN |
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Medicine R Science Q |
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Medicine R Science Q Ramin Abolfath Christopher R. Peeler Mark Newpower Lawrence Bronk David Grosshans Radhe Mohan A model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data |
| description |
Abstract 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 |
article |
| author |
Ramin Abolfath Christopher R. Peeler Mark Newpower Lawrence Bronk David Grosshans Radhe Mohan |
| author_facet |
Ramin Abolfath Christopher R. Peeler Mark Newpower Lawrence Bronk David Grosshans Radhe Mohan |
| author_sort |
Ramin Abolfath |
| title |
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_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_sort |
model for relative biological effectiveness of therapeutic proton beams based on a global fit of cell survival data |
| publisher |
Nature Portfolio |
| publishDate |
2017 |
| url |
https://doaj.org/article/278dd389321844a594cc893cd747aaef |
| work_keys_str_mv |
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1718394386047303680 |