Uncertainty on radiation doses estimated by biological and retrospective physical methods
- Autori: Ainsbury, Elizabeth A.*; Samaga, Daniel; Monaca, Sara Della; Marrale, Maurizio; Bassinet, Celine; Burbidge, Christopher I.; Correcher, Virgilio; Discher, Michael; Eakins, Jon; Fattibene, Paola; Güçlü, Inci; Higueras, Manuel; Lund, Eva; Maltar-Strmečki, Nadica; McKeever, Stephen; Rääf, Christopher L.; Sholom, Sergey; Veronese, Ivan; Wieser, Albrecht; Woda, Clemens; Trompier, Francois
- Anno di pubblicazione: 2018
- Tipologia: Articolo in rivista (Articolo in rivista)
- Parole Chiave: Body Burden; Europe; Humans; Radiation Monitoring; Radiation, Ionizing; Radiometry; Risk Assessment; Radiation Dosage; Uncertainty; Radiological and Ultrasound Technology; Radiation; Radiology, Nuclear Medicine and Imaging; Public Health, Environmental and Occupational Health
- OA Link: http://hdl.handle.net/10447/350835
Abstract
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.