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Uncertainty of fast biological radiation dose assessment for emergency response scenarios

Elizabeth A Ainsbury, Manuel Higueras, Pedro Puig, Jochen Einbeck, Daniel Samaga, Joan Francesc Barquinero, Lleonard Barrios, Beata Brzozowska, Paola Fattibene, Eric Gregoire, et al. (2017) INTERNATIONAL JOURNAL OF RADIATION BIOLOGY. 93(1). p.127-135
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Biodosimetry, retrospective dosimetry, radiation, triage screening, uncertainty, CHROMOSOME-ABERRATION DATA, DICENTRIC CHROMOSOMES, BIODOSIMETRY, RENEB, LABORATORIES, VALIDATION, PURPOSES, NETWORK, ASSAY
journal title
INTERNATIONAL JOURNAL OF RADIATION BIOLOGY
Int. J. Radiat. Biol.
volume
93
issue
1
pages
127 - 135
Web of Science type
Article
Web of Science id
000392891400016
ISSN
0955-3002
1362-3095
DOI
10.1080/09553002.2016.1227106
project
RENEB (Realizing the European Network in Biodosimetry)
language
English
UGent publication?
yes
classification
A1
copyright statement
Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
id
8507469
handle
http://hdl.handle.net/1854/LU-8507469
date created
2017-02-03 14:50:10
date last changed
2017-03-09 11:14:16
@article{8507469,
  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.},
  author       = {Ainsbury, Elizabeth A and Higueras, Manuel and Puig, Pedro and Einbeck, Jochen and Samaga, Daniel and Barquinero, Joan Francesc and Barrios, Lleonard and Brzozowska, Beata and Fattibene, Paola and Gregoire, Eric and Jaworska, Alicja and Lloyd, David and Oestreicher, Ursula and Romm, Horst and Rothkamm, Kai and Roy, Laurence and Sommer, Sylwester and Terzoudi, Georgia and Thierens, Hubert and Trompier, Francois and Vral, Anne and Woda, Clemens},
  issn         = {0955-3002},
  journal      = {INTERNATIONAL JOURNAL OF RADIATION BIOLOGY},
  keyword      = {Biodosimetry,retrospective dosimetry,radiation,triage screening,uncertainty,CHROMOSOME-ABERRATION DATA,DICENTRIC CHROMOSOMES,BIODOSIMETRY,RENEB,LABORATORIES,VALIDATION,PURPOSES,NETWORK,ASSAY},
  language     = {eng},
  number       = {1},
  pages        = {127--135},
  title        = {Uncertainty of fast biological radiation dose assessment for emergency response scenarios},
  url          = {http://dx.doi.org/10.1080/09553002.2016.1227106},
  volume       = {93},
  year         = {2017},
}

Chicago
Ainsbury, Elizabeth A, Manuel Higueras, Pedro Puig, Jochen Einbeck, Daniel Samaga, Joan Francesc Barquinero, Lleonard Barrios, et al. 2017. “Uncertainty of Fast Biological Radiation Dose Assessment for Emergency Response Scenarios.” International Journal of Radiation Biology 93 (1): 127–135.
APA
Ainsbury, E. A., Higueras, M., Puig, P., Einbeck, J., Samaga, D., Barquinero, J. F., Barrios, L., et al. (2017). Uncertainty of fast biological radiation dose assessment for emergency response scenarios. INTERNATIONAL JOURNAL OF RADIATION BIOLOGY, 93(1), 127–135.
Vancouver
1.
Ainsbury EA, Higueras M, Puig P, Einbeck J, Samaga D, Barquinero JF, et al. Uncertainty of fast biological radiation dose assessment for emergency response scenarios. INTERNATIONAL JOURNAL OF RADIATION BIOLOGY. 2017;93(1):127–35.
MLA
Ainsbury, Elizabeth A, Manuel Higueras, Pedro Puig, et al. “Uncertainty of Fast Biological Radiation Dose Assessment for Emergency Response Scenarios.” INTERNATIONAL JOURNAL OF RADIATION BIOLOGY 93.1 (2017): 127–135. Print.