Uncertainty on radiation doses estimated by biological and retrospective physical methods

Elizabeth A. Ainsbury*, Daniel Samaga, Sara Della Monaca, Maurizio Marrale, Celine Bassinet, Christopher I. Burbidge, Virgilio Correcher, Michael Discher, Jon Eakins, Paola Fattibene, Inci Güçlü, Manuel Higueras, Eva Lund, Nadica Maltar-Strmečki, Stephen McKeever, Christopher L. Rääf, Sergey Sholom, Ivan Veronese, Albrecht Wieser, Clemens WodaFrancois Trompier

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)382-404
Number of pages23
JournalRadiation Protection Dosimetry
Issue number4
Publication statusPublished - 1 Mar 2018

Bibliographical note

Funding Information:
This work was supported by partly supported by the European Radiation Dosimetry Group (EURADOS; WG10) and by the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Chemical & Radiation Threats & Hazards at Newcastle University in partnership with Public Health England (PHE). The views expressed are those of the author(s) and not necessarily those of the NIHR, the Department of Health or Public Health England.

Publisher Copyright:
© Crown copyright 2017.


Dive into the research topics of 'Uncertainty on radiation doses estimated by biological and retrospective physical methods'. Together they form a unique fingerprint.

Cite this