Ainsbury Elizabeth A, Samaga Daniel, Della Monaca Sara, Marrale Maurizio, Bassinet Celine, Burbidge Christopher I, Correcher Virgilio, Discher Michael, Eakins Jon, Fattibene Paola, Güçlü Inci, Higueras Manuel, Lund Eva, Maltar-Strmecki Nadica, McKeever Stephen, Rääf Christopher L, Sholom Sergey, Veronese Ivan, Wieser Albrecht, Woda Clemens, Trompier Francois
Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Chilton, Didcot, Oxford OX11 ORQ, UK.
Bundesamt für Strahlenschutz, Ingolstaedter Landstr. 1, 85764 Oberschleissheim, Germany.
Radiat Prot Dosimetry. 2018 Mar 1;178(4):382-404. doi: 10.1093/rpd/ncx125.
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.
生物和物理回顾性剂量测定被认为是在意外暴露于电离辐射后提供个体剂量估计的关键技术。虽然生物和物理程序最近有了相对大量的发展，但统计分析技术的发展却未能跟上步伐。本文的目的是回顾“欧洲辐射剂量学协会第10工作组——回顾性剂量测定”成员在不确定性分析技术方面的当前技术水平，给出国际标准中推荐技术实施的具体示例，并进一步推广使用蒙特卡罗技术来支持不确定性的表征。得出的结论是，对于急性全身暴露于高穿透性辐射，大多数实验室有足够的技术可用且正在使用，但还需要进一步开展工作，以确保统计分析对于更复杂的暴露场景始终完全足够。
