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Quantifying radiation quality for space relevant radiation types: Fitting excess risk models to three combined HZE-irradiated mouse datasetsRadiation health risks are predominantly derived from low linear energy transfer (LET) terrestrial exposures; however, space radiation
includes exposure to high-LET and high-charge, high-energy (HZE) particles. Accurately quantifying the differences in radiation quality
between the space and terrestrial radiation environments is important for assessing and predicting health risks for astronauts. Weil
et al. 2009 and 2014 used two different inbred mouse strains to study differences in hepatocellular carcinoma (HCC) tumorigenesis
after exposures to low- and high- LET radiation[1-2]. More recently, Edmondson et al. 2020 provided valuable new tumor data in outbred mice that were exposed to low- and high-LET radiation[3]. The present study aims to rigorously investigate a relative biological effectiveness (RBE) factor by leveraging the HCC tumor data from the three datasets[1-3]. The three experiments were similarly designed, allowing the raw data to be combined into a pooled dataset to estimate excess relative risk (ERR) and excess absolute risk (EAR) models using Bayesian Poisson regression.
Document ID
20220014336
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 21, 2022
Subject Category
Life Sciences (General)
Meeting Information
Meeting: Radiation Research Society 68th Annual International Meeting
Location: Waikoloa Village, HI
Country: US
Start Date: October 16, 2022
End Date: October 19, 2022
Sponsors: Radiation Research Society
Funding Number(s)
CONTRACT_GRANT: NNJ15HK11B
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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