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

For tumor therapy with light ions and for experimental aspects in particle radiobiology the relative biological effectiveness (RBE) is an important quantity to describe the increased effectiveness of particle radiation. By establishing and analysing a database of ion and photon cell survival data, s...

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Main Authors: Friedrich, Thomas, Scholz, Uwe, ElsäSser, Thilo, Durante, Marco, Scholz, Michael
Format: Online
Language:English
Published: Oxford University Press 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3650740/
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recordtype oai_dc
spelling pubmed-36507402013-05-13 Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation Friedrich, Thomas Scholz, Uwe ElsäSser, Thilo Durante, Marco Scholz, Michael Physics For tumor therapy with light ions and for experimental aspects in particle radiobiology the relative biological effectiveness (RBE) is an important quantity to describe the increased effectiveness of particle radiation. By establishing and analysing a database of ion and photon cell survival data, some remarkable properties of RBE-related quantities were observed. The database consists of 855 in vitro cell survival experiments after ion and photon irradiation. The experiments comprise curves obtained in different labs, using different ion species, different irradiation modalities, the whole range of accessible energies and linear energy transfers (LETs) and various cell types. Each survival curve has been parameterized using the linear-quadratic (LQ) model. The photon parameters, α and β, appear to be slightly anti-correlated, which might point toward an underlying biological mechanism. The RBE values derived from the survival curves support the known dependence of RBE on LET, on particle species and dose. A positive correlation of RBE with the ratio α/β of the photon LQ parameters is found at low doses, which unexpectedly changes to a negative correlation at high doses. Furthermore, we investigated the course of the β coefficient of the LQ model with increasing LET, finding typically a slight initial increase and a final falloff to zero. The observed fluctuations in RBE values of comparable experiments resemble overall RBE uncertainties, which is of relevance for treatment planning. The database can also be used for extensive testing of RBE models. We thus compare simulations with the local effect model to achieve this goal. Oxford University Press 2013-05 2012-12-23 /pmc/articles/PMC3650740/ /pubmed/23266948 http://dx.doi.org/10.1093/jrr/rrs114 Text en © The Author 2012. Published by Oxford University Press on behalf of The Japan Radiation Research Society and Japanese Society for Therapeutic Radiology and Oncology. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Friedrich, Thomas
Scholz, Uwe
ElsäSser, Thilo
Durante, Marco
Scholz, Michael
spellingShingle Friedrich, Thomas
Scholz, Uwe
ElsäSser, Thilo
Durante, Marco
Scholz, Michael
Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation
author_facet Friedrich, Thomas
Scholz, Uwe
ElsäSser, Thilo
Durante, Marco
Scholz, Michael
author_sort Friedrich, Thomas
title Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation
title_short Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation
title_full Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation
title_fullStr Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation
title_full_unstemmed Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation
title_sort systematic analysis of rbe and related quantities using a database of cell survival experiments with ion beam irradiation
description For tumor therapy with light ions and for experimental aspects in particle radiobiology the relative biological effectiveness (RBE) is an important quantity to describe the increased effectiveness of particle radiation. By establishing and analysing a database of ion and photon cell survival data, some remarkable properties of RBE-related quantities were observed. The database consists of 855 in vitro cell survival experiments after ion and photon irradiation. The experiments comprise curves obtained in different labs, using different ion species, different irradiation modalities, the whole range of accessible energies and linear energy transfers (LETs) and various cell types. Each survival curve has been parameterized using the linear-quadratic (LQ) model. The photon parameters, α and β, appear to be slightly anti-correlated, which might point toward an underlying biological mechanism. The RBE values derived from the survival curves support the known dependence of RBE on LET, on particle species and dose. A positive correlation of RBE with the ratio α/β of the photon LQ parameters is found at low doses, which unexpectedly changes to a negative correlation at high doses. Furthermore, we investigated the course of the β coefficient of the LQ model with increasing LET, finding typically a slight initial increase and a final falloff to zero. The observed fluctuations in RBE values of comparable experiments resemble overall RBE uncertainties, which is of relevance for treatment planning. The database can also be used for extensive testing of RBE models. We thus compare simulations with the local effect model to achieve this goal.
publisher Oxford University Press
publishDate 2013
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3650740/
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