Quantifying radiation quality for space relevant radiation types: Fitting excess risk models to outbred mice dataAccurately quantifying the differences in radiation quality between space and terrestrial environments is important for predicting health risks for astronauts.Recently, Edmundson et al. 2020[1] provided valuable new results from out-bred mice linking tumor induction and genetic background aer exposure to low and high-LET radiation. The goal of the current study is to more rigorously estimate a relative biological effectiveness (RBE) factor by leveraging the solid tumor data from Edmundson et al. 2020. Excess relative risk (ERR) models and excess absolute risk (EAR) models were fit using Poisson regression similar to the models that the Radiation Effects Research Foundation uses to fit atomic bomb survivor data. Linear ERR and EAR slopes were simulated usingBayesian analyses, and RBE values were calculated from the ratio of the heavy ion linear slope to the gamma linear slope using the full posterior distribution.
Document ID
20210021245
Acquisition Source
Johnson Space Center
Document Type
Poster
Authors
Lori J. Chappell (KBR (United States) Houston, Texas, United States)
Brock J. Sishc (MEI Technologies (United States) Houston, Texas, United States)
S. Robin Elgart (University of Houston Houston, Texas, United States)
Date Acquired
September 2, 2021
Subject Category
Space Radiation
Meeting Information
Meeting: Radiation Research Society Annual Meeting