Elizabeth A. Ainsbury
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
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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Copyright Statement
Final published version
Published Journal Article (Advance online version)
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Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
Advance online version © 2016 Crown Copyright. Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/
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
in any way.
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