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Uncertainty of fast biological radiation dose assessment for emergency response scenarios

Standard

Uncertainty of fast biological radiation dose assessment for emergency response scenarios. / Ainsbury, Elizabeth A; Higueras, Manuel; Puig, Pedro; Einbeck, Jochen; Samaga, Daniel; Barquinero, Joan Francesc; Barrios, Lleonard; Brzozowska, Beata; Fattibene, Paola; Gregoire, Eric; Jaworska, Alicja; Lloyd, David; Oestreicher, Ursula; Romm, Horst; Rothkamm, Kai; Roy, Laurence; Sommer, Sylwester; Terzoudi, Georgia; Thierens, Hubert; Trompier, Francois; Vral, Anne; Woda, Clemens.

In: INT J RADIAT BIOL, Vol. 93, No. 1, 01.2017, p. 127-135.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Ainsbury, EA, Higueras, M, Puig, P, Einbeck, J, Samaga, D, Barquinero, JF, Barrios, L, Brzozowska, B, Fattibene, P, Gregoire, E, Jaworska, A, Lloyd, D, Oestreicher, U, Romm, H, Rothkamm, K, Roy, L, Sommer, S, Terzoudi, G, Thierens, H, Trompier, F, Vral, A & Woda, C 2017, 'Uncertainty of fast biological radiation dose assessment for emergency response scenarios', INT J RADIAT BIOL, vol. 93, no. 1, pp. 127-135. https://doi.org/10.1080/09553002.2016.1227106

APA

Ainsbury, E. A., Higueras, M., Puig, P., Einbeck, J., Samaga, D., Barquinero, J. F., Barrios, L., Brzozowska, B., Fattibene, P., Gregoire, E., Jaworska, A., Lloyd, D., Oestreicher, U., Romm, H., Rothkamm, K., Roy, L., Sommer, S., Terzoudi, G., Thierens, H., ... Woda, C. (2017). Uncertainty of fast biological radiation dose assessment for emergency response scenarios. INT J RADIAT BIOL, 93(1), 127-135. https://doi.org/10.1080/09553002.2016.1227106

Vancouver

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. INT J RADIAT BIOL. 2017 Jan;93(1):127-135. https://doi.org/10.1080/09553002.2016.1227106

Bibtex

@article{cb46e5c4111c466796e2ba9fe4f2de71,
title = "Uncertainty of fast biological radiation dose assessment for emergency response scenarios",
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 Manuel Higueras and Pedro Puig and Jochen Einbeck and Daniel Samaga and Barquinero, {Joan Francesc} and Lleonard Barrios and Beata Brzozowska and Paola Fattibene and Eric Gregoire and Alicja Jaworska and David Lloyd and Ursula Oestreicher and Horst Romm and Kai Rothkamm and Laurence Roy and Sylwester Sommer and Georgia Terzoudi and Hubert Thierens and Francois Trompier and Anne Vral and Clemens Woda",
year = "2017",
month = jan,
doi = "10.1080/09553002.2016.1227106",
language = "English",
volume = "93",
pages = "127--135",
journal = "INT J RADIAT BIOL",
issn = "0955-3002",
publisher = "Taylor & Francis",
number = "1",

}

RIS

TY - JOUR

T1 - Uncertainty of fast biological radiation dose assessment for emergency response scenarios

AU - Ainsbury, Elizabeth A

AU - Higueras, Manuel

AU - Puig, Pedro

AU - Einbeck, Jochen

AU - Samaga, Daniel

AU - Barquinero, Joan Francesc

AU - Barrios, Lleonard

AU - Brzozowska, Beata

AU - Fattibene, Paola

AU - Gregoire, Eric

AU - Jaworska, Alicja

AU - Lloyd, David

AU - Oestreicher, Ursula

AU - Romm, Horst

AU - Rothkamm, Kai

AU - Roy, Laurence

AU - Sommer, Sylwester

AU - Terzoudi, Georgia

AU - Thierens, Hubert

AU - Trompier, Francois

AU - Vral, Anne

AU - Woda, Clemens

PY - 2017/1

Y1 - 2017/1

N2 - 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.

AB - 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.

U2 - 10.1080/09553002.2016.1227106

DO - 10.1080/09553002.2016.1227106

M3 - SCORING: Journal article

C2 - 27572921

VL - 93

SP - 127

EP - 135

JO - INT J RADIAT BIOL

JF - INT J RADIAT BIOL

SN - 0955-3002

IS - 1

ER -