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RESEARCH PRODUCT
Uncertainty on radiation doses estimated by biological and retrospective physical methods
Ivan VeroneseMaurizio MarraleSergey SholomPaola FattibeneFrançois TrompierChristopher Ian BurbidgeManuel HiguerasNadica Maltar-strmečkiC. BassinetStephen W.s. MckeeverClemens WodaVurgilio CorrecherMichael DischerAlbrecht WieserDaniel SamagaSara Della MonacaElizabeth A. AinsburyJon EakinsChristopher RääfEva LundIncli Güçlüsubject
medicine.medical_specialtyRadiology Nuclear Medicine and Imaging[SDV]Life Sciences [q-bio]Public Health and Health CareRadiation DosageRisk Assessment030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineRadiation MonitoringRadiation IonizingmedicineDosimetryHumansStatistical analysisMedical physicsRadiometryUncertainty analysisMathematicsRadiationRadiological and Ultrasound TechnologyPhysicsUncertaintyPublic Health Environmental and Occupational HealthGeneral Medicineretrospective dosimetry biodosimetry physical dosimetry uncertainityEuropeChemistryWork (electrical)030220 oncology & carcinogenesisRadiation monitoringBody BurdenRisk assessmentWhole bodyMathematicsHumandescription
International audience; Biological and physical retrospective dosimetry are recognised as key techniques to provide individual estimates of dose following unplanned exposures to ionising radiation. Whilst there has been a relatively large amount of recent development in the biological and physical procedures, development of statistical analysis techniques has failed to keep pace. The aim of this paper is to review the current state of the art in uncertainty analysis techniques across the 'EURADOS Working Group 10- Retrospective dosimetry' members, to give concrete examples of implementation of the techniques recommended in the international standards, and to further promote the use of Monte Carlo techniques to support characterisation of uncertainties. It is concluded that sufficient techniques are available and in use by most laboratories for acute, whole body exposures to highly penetrating radiation, but further work will be required to ensure that statistical analysis is always wholly sufficient for the more complex exposure scenarios. © Crown copyright 2017.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-03-01 |