Estimating Dose and Time of Exposure from a Protein-Based Radiation Biomarker

Cai, Yilun; Einbeck, Jochen; Barnard, Stephen; Ainsbury, Elizabeth

Abstract

In order to analyze the potential damage to the human body caused by exposure to ionizing radiation, one needs to have an estimation of the dose of radiation received by the individual. In the context of a protein-based biomarker for radiation exposure, we present here a new method that, unlike the approaches that produce the estimation with data collected at a predetermined time after exposure, allows us to estimate the dose at any time within a reasonable time interval after exposure, as well as determine the time of exposure if needed. Namely, we take existing calibration curves and generalize them using the decay mechanism of gamma-H2AX foci to build a model that describes the functional relationship between the count of
gamma-H2AX foci in exposed blood cells and the time and dose of exposure. This model is illustrated using both real and simulated data.

Citation

Cai, Y., Einbeck, J., Barnard, S., & Ainsbury, E. (2024). Estimating Dose and Time of Exposure from a Protein-Based Radiation Biomarker. In Developments in Statistical Modelling (239-245). Springer. https://doi.org/10.1007/978-3-031-65723-8_37

• Online Publication Date: Jul 12, 2024
• Publication Date: Jul 12, 2024
• Deposit Date: Aug 16, 2024
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 239-245
• Series Title: Contributions to Statstics
• Series ISSN: 1431-1968
• Book Title: Developments in Statistical Modelling
• ISBN: 9783031657221; 9783031657238
• DOI: https://doi.org/10.1007/978-3-031-65723-8_37
• Keywords: Biological dosimetry, Poisson regression, Overdispersion
• Public URL: https://durham-repository.worktribe.com/output/2756889