Literature DB >> 12400961

Uncertainty, low-dose extrapolation and the threshold hypothesis.

Charles E Land1.   

Abstract

Risk-based radiation protection policy is influenced by estimated risk and by the uncertainty of that estimate. Thus, if the upper limit, at (say) 95% probability, of risk associated with a given radiation dose is at an 'acceptable' level, it is unlikely (or not credible) that the true level of risk associated with the dose is at an unacceptable level. Central estimates presented alone, in the absence of probability limits, lack this safety factor. Estimating cancer risks from low doses of ionising radiation involves extrapolation of risk estimates based on high-dose data to the much lower dose levels that characterize the vast majority of exposures of regulatory concern. Proof of a universal low-dose threshold, below which there is no radiation-related risk, would revolutionise radiation protection. Available data fail to provide such proof and, in fact, leave considerable room for the possibility that DNA damage from a single photon can contribute to the carcinogenic process. Allowing for the possibility of a threshold would, however, remove very little of the regulatory burden associated with the so-called linear, no-threshold hypothesis, unless that possibility were a virtual certainty.

Entities:  

Mesh:

Year:  2002        PMID: 12400961     DOI: 10.1088/0952-4746/22/3a/323

Source DB:  PubMed          Journal:  J Radiol Prot        ISSN: 0952-4746            Impact factor:   1.394


  5 in total

1.  Risks associated with low doses and low dose rates of ionizing radiation: why linearity may be (almost) the best we can do.

Authors:  Mark P Little; Richard Wakeford; E Janet Tawn; Simon D Bouffler; Amy Berrington de Gonzalez
Journal:  Radiology       Date:  2009-04       Impact factor: 11.105

2.  Dose-responses from multi-model inference for the non-cancer disease mortality of atomic bomb survivors.

Authors:  H Schöllnberger; J C Kaiser; P Jacob; L Walsh
Journal:  Radiat Environ Biophys       Date:  2012-03-22       Impact factor: 1.925

3.  Interactive RadioEpidemiological Program (IREP): a web-based tool for estimating probability of causation/assigned share of radiogenic cancers.

Authors:  David C Kocher; A Iulian Apostoaei; Russell W Henshaw; F Owen Hoffman; Mary K Schubauer-Berigan; Daniel O Stancescu; Brian A Thomas; John R Trabalka; Ethel S Gilbert; Charles E Land
Journal:  Health Phys       Date:  2008-07       Impact factor: 1.316

Review 4.  Do non-targeted effects increase or decrease low dose risk in relation to the linear-non-threshold (LNT) model?

Authors:  M P Little
Journal:  Mutat Res       Date:  2010-01-25       Impact factor: 2.433

5.  Correlation between infectious disease and soil radiation in Japan: an exploratory study using national sentinel surveillance data.

Authors:  S Inaida; T Tsuda; S Matsuno
Journal:  Epidemiol Infect       Date:  2017-01-16       Impact factor: 4.434

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.