Possible effects of protracted exposure on the additivity of risks from space radiations.
Conventional radiation risk assessments are presently based on the additivity assumption.  This assumption states that risks from individual components of a complex radiation field involving many different types of radiation can be added to yield the total risk of the complex radiation field.  If the assumption is not correct, the summations and integrations performed to obtain the presently quoted risk estimates are not appropriate.  This problem is particularly important in the area of space radiation risk evaluation because of the many different types of high- and low-LET radiation present in the galactic cosmic ray environment.  For both low- and high-LET radiations at low enough dose rates, the present convention is that the addivity assumption holds.  Mathematically, the total risk, Rtot is assumed to be Rtot = summation (i) Ri where the summation runs over the different types of radiation present.  If the total dose (or fluence) from each component is such that the interaction between biological lesions caused by separate single track traversals is negligible within a given cell, it is presently considered to be reasonable to accept the additivity assumption.  However, when the exposure is protracted over many cell doubling times (as will be the case for extended missions to the moon or Mars), the possibility exists that radiation effects that depend on multiple cellular events over a long time period, such as is probably the case in radiation-induced carcinogenesis, may not be additive in the above sense and the exposure interval may have to be included in the evaluation procedure.  It is shown, however, that "inverse" dose-rate effects are not expected from intermediate LET radiations arising from the galactic cosmic ray environment due to the "sensitive-window-in-the-cell-cycle" hypothesis.
Curtis
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Fred Hutchinson Cancer Research Center, Seattle, WA 98104, USA.
D000818:Animals; D002453:Cell Cycle / Q000528:radiation effects*; D002471:Cell Transformation, Neoplastic; D003359:Cosmic Radiation / Q000009:adverse effects*; D004307:Dose-Response Relationship, Radiation; D006801:Humans; D018499:Linear Energy Transfer; D015233:Models, Statistical; D009381:Neoplasms, Radiation-Induced; D011829:Radiation Dosage; D051381:Rats; D018570:Risk Assessment; D013269:Stochastic Processes