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• W3208498040 abstract "In the event of a radiation accident detecting γ-H2AX foci is being accepted as fast method for triage and dose assessment. However, due to their disappearance kinetics, published calibrations have been constructed at specific post-irradiation times.To develop a surface, or tridimensional, model to estimate doses at times not included in the calibration analysis, and to validate it.Calibration data was obtained irradiating peripheral mononucleated cells from one donor with radiation doses ranging from 0 to 3 Gy, and γ -H2AX foci were detected microscopically using a semi-automatic method, at different post-irradiation times from 0.5 to 24 h. For validation, in addition to the above-mentioned donor, blood samples from another donor were also used. Validation was done within the range of doses and post-irradiation times used in the calibration.The calibration data clearly shows that at each analyzed time, the γ-H2AX foci frequency increases as dose increases, and for each dose this frequency decreases with post-irradiation time. The γ-H2AX foci nucleus distribution was clearly overdispersed, for this reason to obtain bidimensional and tridimensional dose-effect relationships no probability distribution was assumed, and linear and non-linear least squares weighted regression was used. In the two validation exercises for most evaluated samples, the 95% confidence limits of the estimated dose were between ±0.5 Gy of the real dose. No major differences were observed between donors.In case of a suspected overexposure to radiation, the surface model here presented allows a correct dose estimation using γ-H2AX foci as biomarker. The advantage of this surface model is that it can be used at any post-irradiation time, in our model between 0.5 and 24 h." @default.
• W3208498040 created "2021-11-08" @default.
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• W3208498040 date "2021-11-17" @default.
• W3208498040 modified "2023-10-06" @default.
• W3208498040 title "Establishment and validation of surface model for biodosimetry based on γ-H2AX foci detection" @default.
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• W3208498040 doi "https://doi.org/10.1080/09553002.2022.1998706" @default.
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• W3208498040 hasPublicationYear "2021" @default.
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