Literature DB >> 20726730

Analytical description of the LET dependence of cell survival using the repairable-conditionally repairable damage model.

M Wedenberg1, B K Lind, I Toma-Daşu, H Rehbinder, A Brahme.   

Abstract

In light-ion radiation therapy, both the dose and the local energy spectrum, which is often characterized with the linear energy transfer (LET), must be considered. In treatment optimization, it is advantageous to use a radiobiological model that analytically accounts for both dose and LET for the ion type of interest. With such a model the biological effect can also be estimated for dose and LET combinations for which there are no observations in the underlying experimental data. In this study, the repairable-conditionally repairable (RCR) damage model was extended by expressing its parameters as functions of LET to provide a radiobiological model that accounts for both the dose and the LET for a given ion type and cell line. This LET-parameterized RCR model was fitted to published cell survival data for HSG and V79 cells irradiated with carbon ions and for T1 cells irradiated with helium ions. To test the robustness of the model, fittings to only a subset of the data were performed. Good agreement with the cell survival data was obtained, including survival data for LET values not used for model fitting, opening up the possibility of using the model in treatment planning for light ions.

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Year:  2010        PMID: 20726730     DOI: 10.1667/RR2045.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  5 in total

1.  Model assembly for estimating cell surviving fraction for both targeted and nontargeted effects based on microdosimetric probability densities.

Authors:  Tatsuhiko Sato; Nobuyuki Hamada
Journal:  PLoS One       Date:  2014-11-26       Impact factor: 3.240

2.  Radiobiological description of the LET dependence of the cell survival of oxic and anoxic cells irradiated by carbon ions.

Authors:  L Antonovic; A Brahme; Y Furusawa; I Toma-Dasu
Journal:  J Radiat Res       Date:  2012-08-21       Impact factor: 2.724

3.  Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation.

Authors:  Thomas Friedrich; Uwe Scholz; Thilo Elsässer; Marco Durante; Michael Scholz
Journal:  J Radiat Res       Date:  2012-12-23       Impact factor: 2.724

4.  A generalized target theory and its applications.

Authors:  Lei Zhao; Dong Mi; Bei Hu; Yeqing Sun
Journal:  Sci Rep       Date:  2015-09-28       Impact factor: 4.379

5.  Clinical oxygen enhancement ratio of tumors in carbon ion radiotherapy: the influence of local oxygenation changes.

Authors:  Laura Antonovic; Emely Lindblom; Alexandru Dasu; Niels Bassler; Yoshiya Furusawa; Iuliana Toma-Dasu
Journal:  J Radiat Res       Date:  2014-04-11       Impact factor: 2.724

  5 in total

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