Uncertainty on radiation doses estimated by biological and retrospective physical methods

Elizabeth A. Ainsbury; Daniel Samaga; Sara Della Monaca; Maurizio Marrale; Celine Bassinet; Christopher I. Burbidge; Virgilio Correcher; Michael Discher; Jon Eakins; Paola Fattibene; Inci Güçlü; Manuel Higueras; Eva Lund; Nadica Maltar-Strmečki; Stephen McKeever; Christopher L. Rääf; Sergey Sholom; Ivan Veronese; Albrecht Wieser; Clemens Woda; Francois Trompier

doi:10.1093/rpd/ncx125

Uncertainty on radiation doses estimated by biological and retrospective physical methods

Elizabeth A. Ainsbury^*, Daniel Samaga, Sara Della Monaca, Maurizio Marrale, Celine Bassinet, Christopher I. Burbidge, Virgilio Correcher, Michael Discher, Jon Eakins, Paola Fattibene, Inci Güçlü, Manuel Higueras, Eva Lund, Nadica Maltar-Strmečki, Stephen McKeever, Christopher L. Rääf, Sergey Sholom, Ivan Veronese, Albrecht Wieser, Clemens WodaFrancois Trompier

^*Corresponding author for this work

Radiation Metrology

Research output: Contribution to journal › Article › peer-review

37 Citations (Scopus)

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.

Original language	English
Pages (from-to)	382-404
Number of pages	23
Journal	Radiation Protection Dosimetry
Volume	178
Issue number	4
DOIs	https://doi.org/10.1093/rpd/ncx125
Publication status	Published - 1 Mar 2018

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Ainsbury, E. A., Samaga, D., Monaca, S. D., Marrale, M., Bassinet, C., Burbidge, C. I., Correcher, V., Discher, M., Eakins, J., Fattibene, P., Güçlü, I., Higueras, M., Lund, E., Maltar-Strmečki, N., McKeever, S., Rääf, C. L., Sholom, S., Veronese, I., Wieser, A., ... Trompier, F. (2018). Uncertainty on radiation doses estimated by biological and retrospective physical methods. Radiation Protection Dosimetry, 178(4), 382-404. https://doi.org/10.1093/rpd/ncx125

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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.",

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Ainsbury, EA, Samaga, D, Monaca, SD, Marrale, M, Bassinet, C, Burbidge, CI, Correcher, V, Discher, M, Eakins, J, Fattibene, P, Güçlü, I, Higueras, M, Lund, E, Maltar-Strmečki, N, McKeever, S, Rääf, CL, Sholom, S, Veronese, I, Wieser, A, Woda, C & Trompier, F 2018, 'Uncertainty on radiation doses estimated by biological and retrospective physical methods', Radiation Protection Dosimetry, vol. 178, no. 4, pp. 382-404. https://doi.org/10.1093/rpd/ncx125

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AU - Ainsbury, Elizabeth A.

AU - Samaga, Daniel

AU - Monaca, Sara Della

AU - Marrale, Maurizio

AU - Bassinet, Celine

AU - Burbidge, Christopher I.

AU - Correcher, Virgilio

AU - Discher, Michael

AU - Eakins, Jon

AU - Fattibene, Paola

AU - Güçlü, Inci

AU - Higueras, Manuel

AU - Lund, Eva

AU - Maltar-Strmečki, Nadica

AU - McKeever, Stephen

AU - Rääf, Christopher L.

AU - Sholom, Sergey

AU - Veronese, Ivan

AU - Wieser, Albrecht

AU - Woda, Clemens

AU - Trompier, Francois

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AB - 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.

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ER -

Uncertainty on radiation doses estimated by biological and retrospective physical methods

Abstract

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