2015
DOI: 10.1140/epjd/e2015-60206-5
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Energy dependent track structure parametrisations for protons and carbon ions based on nanometric simulations

Abstract: Abstract. The BioQuaRT project within the European Metrology Research Programme aims at correlating ion track structure characteristics with the biological effects of radiation and develops measurement and simulation techniques for determining ion track structure on different length scales from about 2 nm to about 10 µm. Within this framework, we investigate methods to translate track-structure quantities derived on a nanometre scale to macroscopic dimensions. Input data sets were generated by simulations of i… Show more

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Cited by 13 publications
(25 citation statements)
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References 30 publications
(32 reference statements)
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“…In combination with a stopping power weighted method, the parametrization can be used to characterize the track structure of a mixed radiation field. 6,7 Conte et al were able to establish a relationship between nanodosimetric quantities and the coefficients of the linear-quadratic model. 8 The relative biological effectiveness can then be derived from the obtained linear-quadratic model parameters.…”
Section: Introductionmentioning
confidence: 99%
“…In combination with a stopping power weighted method, the parametrization can be used to characterize the track structure of a mixed radiation field. 6,7 Conte et al were able to establish a relationship between nanodosimetric quantities and the coefficients of the linear-quadratic model. 8 The relative biological effectiveness can then be derived from the obtained linear-quadratic model parameters.…”
Section: Introductionmentioning
confidence: 99%
“…For details the reader is referred to reference [18].In a subsequent work by Conte et al, these finding were exploited even further to establish a link between measured nanodosimetric parameters of ion track structure and the coefficients of the linear-quadratic model for cell survival [19]. This progress has stimulated investigations into the potential use of nanodosimetric parameters in treatment planning, as these offer the advantage of measurable quantities linked to the biological outcome of the irradiation [20], [21], [22].Despite the undeniable and impressive evidence found by Conte et al [18], [19], a major concern that is often raised is the implication that radiation interaction with a single nanometric target should decide the fate of the irradiated cell. It is still an open issue to resolve how these finding can be reconciled with the overwhelming evidence of the importance of indirect radiation effects (i.e.…”
mentioning
confidence: 99%
“…In a subsequent work by Conte et al, these finding were exploited even further to establish a link between measured nanodosimetric parameters of ion track structure and the coefficients of the linear-quadratic model for cell survival [19]. This progress has stimulated investigations into the potential use of nanodosimetric parameters in treatment planning, as these offer the advantage of measurable quantities linked to the biological outcome of the irradiation [20], [21], [22].…”
mentioning
confidence: 99%
“…This is an area where there is much uncertainty on particle transport and cross-sections for interactions, because initial high-energy particles result in many lower-energy electrons and photons that are responsible for the ionisations that cause DNA damage. Working Group 6 is investigating these aspects of dose deposition via collaborative research (Alexander et al, 2015;Bueno et al, 2015;Dressel et al, 2017;Villagrasa et al, 2017;Dressel et al, 2018). For high energies, there are similar problems for MC methods as cross-section data are largely missing, and nuclear models are applied to simulate scattering and secondary particle generation.…”
Section: Computational Dosimetrymentioning
confidence: 99%