Uncertainty of fast biological radiation dose assessment for emergency response scenarios
| Autor: | 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, 0000-0002-9457-2020, 0000-0002-6151-8503, 0000-0003-0247-697X, 0000-0003-4921-685X, 0000-0001-7414-5729, 0000-0002-8776-6572 |
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| Přispěvatelé: | Public Health England - Centre for Radiation, Chemical and Environmental Hazards (PHE-CRCE), Universitat Autònoma de Barcelona (UAB), Durham University, University of Warsaw (UW), Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Institut de Radioprotection et de Sûreté Nucléaire (IRSN/PRP-HOM/SRBE), Universiteit Gent = Ghent University [Belgium] (UGENT) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
LABORATORIES
[SDV]Life Sciences [q-bio] CHROMOSOME-ABERRATION DATA triage screening Radiation Dosage Sensitivity and Specificity VALIDATION Radiation Monitoring Medicine and Health Sciences Humans ASSAY DICENTRIC CHROMOSOMES NETWORK uncertainty Biodosimetry Radiation Retrospective Dosimetry Triage Screening Uncertainty PURPOSES Reproducibility of Results Biology and Life Sciences Bayes Theorem Radiation Exposure Europe radiation Practice Guidelines as Topic retrospective dosimetry Biological Assay Triage RENEB Algorithms |
| Zdroj: | International Journal of Radiation Biology International Journal of Radiation Biology, 2017, 93 (1), pp.127-135. ⟨10.1080/09553002.2016.1227106⟩ INTERNATIONAL JOURNAL OF RADIATION BIOLOGY Int. J. Radiat. Biol. 93, 127-135 (2017) RIUR. Repositorio Institucional de la Universidad de La Rioja instname |
| ISSN: | 0955-3002 1362-3095 |
| DOI: | 10.1080/09553002.2016.1227106⟩ |
| Popis: | International audience; 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. © 2016 Crown Copyright. Published by Informa UK Limited, trading as Taylor and Francis Group. |
| Databáze: | OpenAIRE |
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