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Parameters of linear-quadratic radiation dose-effect relationships: dependence on LET and mechanisms of reproductive cell death

An analysis of mammalian cell radiation-dose survival curves, based on the linear-quadratic formalism, is shown to yield insights in the various components of damage that contribute to cell reproductive death. RBE-LET relationships of single-track lethal damage, sublethal damage, potentially lethal damage and DNA double-strand breaks are compared. Single-track lethal damage is derived to be composed of two components: (1) damage that remains unrepaired in an interval between irradiation and assay for proliferative capacity, with a very strong dependence on LET, and (2) potentially lethal damage that is only weakly dependent on LET, similar to sublethal damage and DNA double-strand breaks. The results of this analysis lead to new interpretations of published experimental results and to suggestions for applications in radiotherapy.
- University of Amsterdam Netherlands
AMC wi-eigen, Cell Death, Cell Survival, 610, Dose-Response Relationship, Radiation, Radiotherapy Dosage, -, DNA, Oxygen, Humans, Linear Energy Transfer, Cells, Cultured, DNA Damage
AMC wi-eigen, Cell Death, Cell Survival, 610, Dose-Response Relationship, Radiation, Radiotherapy Dosage, -, DNA, Oxygen, Humans, Linear Energy Transfer, Cells, Cultured, DNA Damage
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).63 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
