Uncertainty of fast biological radiation dose assessment for emergency response scenarios

Ainsbury, Elizabeth A.; Higueras, Manuel; Puig, Pedro; Einbeck, Jochen; Samaga, Daniel; Barquinero, Joan F.; Barrios, Lleonard; Brzozowska, Beata; Fattibene, Paola; Gregoire, Eric; Jaworska, Alicija; Lloyd, David; Oestreicher, Ursula; Romm, Horst; Rothkamm, Kai; Roy, Lawrence; Sommer, Sylwester; Terzoudi, Georgia; Thierens, Hubert; Trompier, Francois; Vral, Anne; Woda, Clemens

doi:10.1080/09553002.2016.1227106

Uncertainty of fast biological radiation dose assessment for emergency response scenarios

Ainsbury, Elizabeth A.; Higueras, Manuel; Puig, Pedro; Einbeck, Jochen; Samaga, Daniel; Barquinero, Joan F.; Barrios, Lleonard; Brzozowska, Beata; Fattibene, Paola; Gregoire, Eric; Jaworska, Alicija; Lloyd, David; Oestreicher, Ursula; Romm, Horst; Rothkamm, Kai; Roy, Lawrence; Sommer, Sylwester; Terzoudi, Georgia; Thierens, Hubert; Trompier, Francois; Vral, Anne; Woda, Clemens

Authors

Elizabeth A. Ainsbury

Manuel Higueras

Pedro Puig

Professor Jochen Einbeck jochen.einbeck@durham.ac.uk
Professor

Daniel Samaga

Joan F. Barquinero

Lleonard Barrios

Beata Brzozowska

Paola Fattibene

Eric Gregoire

Alicija Jaworska

David Lloyd

Ursula Oestreicher

Horst Romm

Kai Rothkamm

Lawrence Roy

Sylwester Sommer

Georgia Terzoudi

Hubert Thierens

Francois Trompier

Anne Vral

Clemens Woda

Abstract

Purpose: Reliable dose estimation is an important factor in appropriate dosimetric triage categorization of exposed individuals to support radiation emergency response. Materials and Methods: Following work done under the EU FP7 MULTIBIODOSE and RENEB projects, formal methods for defining uncertainties on biological dose estimates are compared using simulated and real data from recent exercises. Results: The results demonstrate that a Bayesian method of uncertainty assessment is the most appropriate, even in the absence of detailed prior information. The relative accuracy and relevance of techniques for calculating uncertainty and combining assay results to produce single dose and uncertainty estimates is further discussed. Conclusions: Finally, it is demonstrated that whatever uncertainty estimation method is employed, ignoring the uncertainty on fast dose assessments can have an important impact on rapid biodosimetric categorization.

Citation

Ainsbury, E. A., Higueras, M., Puig, P., Einbeck, J., Samaga, D., Barquinero, J. F., …Woda, C. (2017). Uncertainty of fast biological radiation dose assessment for emergency response scenarios. International Journal of Radiation Biology, 93(1), 127-135. https://doi.org/10.1080/09553002.2016.1227106

Journal Article Type	Article
Acceptance Date	Aug 10, 2016
Online Publication Date	Sep 26, 2016
Publication Date	Jan 2, 2017
Deposit Date	Sep 1, 2016
Publicly Available Date	Oct 10, 2016
Journal	International Journal of Radiation Biology
Print ISSN	0955-3002
Electronic ISSN	1362-3095
Publisher	Taylor and Francis Group
Peer Reviewed	Peer Reviewed
Volume	93
Issue	1
Pages	127-135
DOI	https://doi.org/10.1080/09553002.2016.1227106
Related Public URLs	http://www.ncbi.nlm.nih.gov/pubmed/27572921

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4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon
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