lymphatic tissues or red bone marrow, depending on the sampling time [2,3]. These methods are very well standardised [4,5] and inter-comparison exercises are ...
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Thema: 9. Dosimetrie Titel: Biological assessment of non-uniform dose distributions and associated cellular effects in complex radiation exposure scenarios Autor(en): Rothkamm K.1,2, Ainsbury E.A.2, Barnard S.2, Einbeck J.3, Higueras M.2,4, Moquet J.2, Oliveira M.3, Puig P.4, Vinnikov V.A.5 Institut(e): 1Universitätsklinikum Hamburg-Eppendorf, Labor für Strahlenbiologie & Experimentelle Radioonkologie, Hamburg, Germany, 2Public Health England, Centre for Radiation, Chemical & Environmental Hazards, Chilton, Didcot, United Kingdom, 3Durham University, Department of Mathematical Sciences, Durham, United Kingdom, 4Universitat Autònoma de Barcelona, Departament de Matemàtiques, Barcelona, Spain, 5Grigoriev Institute for Medical Radiology of the National Academy of Medical Science of Ukraine, Kharkiv, Ukraine Text: Biological dosimetry utilises the effects of ionising radiation on biological materials to estimate the level of exposure, using dose response calibration curves [1]. The most common cytogenetic dosimetry assays quantify radiation-induced dicentric chromosomes, micronuclei or translocations in peripheral blood lymphocytes, thereby producing an estimate of the average dose to blood, lymphatic tissues or red bone marrow, depending on the sampling time [2,3]. These methods are very well standardised [4,5] and inter-comparison exercises are frequently performed [6,7]. Following uniform exposure, dicentrics are randomly distributed among lymphocytes; an overdispersed distribution indicates non-uniform exposure, and mathematical “contaminated Poisson” and “Qdr” algorithms have been developed to estimate the irradiated fraction and its dose in such partial body exposure scenarios [2]. The same methodology has recently been established for analysing distributions of gamma-H2AX foci, which mark the sites of radiationinduced DNA double-strand breaks [8-10]. As this exposure biomarker also works in situ in immunohistochemically stained tissue sections, it enables the spatially resolved detection and quantification of radiation-induced DNA damage in normal and tumour tissues, thus providing a powerful tool for mapping dose distributions and early cellular responses within the irradiated tissue at subcellular resolution [11,12]. Advanced distribution modelling and Bayesian approaches for biodosimetry data analysis are being developed, in order to improve the accuracy of dose estimation and reduce the associated uncertainties, especially in cases of inhomogeneous exposures [13-17]. References [1] K Rothkamm, D Lloyd. Comprehensive Biomedical Physics, Chapter 8.14, Elsevier (2014). [2] IAEA, Cytogenetic Dosimetry, Vienna (2011). [3] EA Ainsbury, J Moquet, K Rothkamm et al, Radiat Prot Dosimetry 159, 26-33 (2014). [4] ISO 19238 (2004). [5] ISO 21243 (2008). [6] K Rothkamm, C. Beinke, H. Romm et al, Radiat Res 180, 111-119 (2013). [7] EA Ainsbury, J Al-hafidh, A Bajinskis et al, Int J Radiat Biol 90, 193-202 (2014). [8] K Rothkamm, S Balroop, J Shekhdar et al, Radiology 242, 244-251 (2007). [9] S Horn, S Barnard and K Rothkamm, PLoS One 6, e25113 (2011). [10] K Rothkamm, S Barnard, EA Ainsbury et al, Mutat Res 756, 170-173 (2013). [11] JC Crosbie, RL Anderson, K Rothkamm et al, Int J Radiat Oncol Biol Phys 77, 886-894 (2010). [12] K Rothkamm, JC Crosbie, F Daley et al, PLoS One 7, e29853 (2012). [13] VA Vinnikov, EA Ainsbury, NA Maznyk et al, Radiat Res 174, 403-414 (2010). [14] EA Ainsbury, VA Vinnikov, NA Maznyk et al, Radiat Prot Dosimetry 155, 253-267 (2013). [15] EA Ainsbury, VA Vinnikov, P Puig et al, Mutat Res 756, 184-191 (2013). [16] EA Ainsbury, VA Vinnikov, P Puig et al, Radiat Prot Dosimetry 162, 185-196 (2014). [17] M Higueras, P Puig, EA Ainsbury et al, Proc R Soc A 471, 20140588 (2015).
Konferenz: 21. Jahrestagung der Deutschen Gesellschaft für Radioonkologie · Abstract: A-731-0009-00469 · Status: in Arbeit
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16.02.2015
