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, Jahrgang 93, Nr. 1, 01.2017, S. 127-135.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
Harvard
APA
Vancouver
Bibtex
}
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 -