| Literature DB >> 28981844 |
Elizabeth A Ainsbury1, Daniel Samaga2, Sara Della Monaca3, Maurizio Marrale4, Celine Bassinet5, Christopher I Burbidge6, Virgilio Correcher7, Michael Discher8, Jon Eakins1, Paola Fattibene3, Inci Güçlü9, Manuel Higueras10, Eva Lund11, Nadica Maltar-Strmecki12, Stephen McKeever13, Christopher L Rääf14, Sergey Sholom13, Ivan Veronese15, Albrecht Wieser16, Clemens Woda16, Francois Trompier5.
Abstract
Biological and physical retrospective dosimetry are recognised as key techniques to provide individual estimates of dose following unplanned exposures to ionising radiation. Whilst there has been a relatively large amount of recent development in the biological and physical procedures, development of statistical analysis techniques has failed to keep pace. The aim of this paper is to review the current state of the art in uncertainty analysis techniques across the 'EURADOS Working Group 10-Retrospective dosimetry' members, to give concrete examples of implementation of the techniques recommended in the international standards, and to further promote the use of Monte Carlo techniques to support characterisation of uncertainties. It is concluded that sufficient techniques are available and in use by most laboratories for acute, whole body exposures to highly penetrating radiation, but further work will be required to ensure that statistical analysis is always wholly sufficient for the more complex exposure scenarios.Entities:
Mesh:
Year: 2018 PMID: 28981844 DOI: 10.1093/rpd/ncx125
Source DB: PubMed Journal: Radiat Prot Dosimetry ISSN: 0144-8420 Impact factor: 0.972