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Reliability Analysis of Transfer Coefficients of an Iodine Biokinetic Model Using Akaike Information Criterion
Department: Nuclear Eng'g & Health Physics
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Paper000
Specimen Elements
Pocatello
Unknown to Unknown
Pamela B. Manglona
Idaho State University
Thesis
No
7/28/2020
digital
City: Pocatello
Master
The ICRP 78 iodine model (base model) was assessed using the concepts of Akaike Information Criterion (AIC). AIC was used to identify transfer coefficients and compartments in the base model that are greatly affected by optimization and to evaluate the reliability of these model parameters. The initial assumption is that the base model is an adequate representation of iodine metabolism in the body. Optimizing the transfer coefficients should not cause large differences between the base and optimized transfer coefficient values. However, the study found that optimization causes large changes in the transfer coefficient values. The optimization of transfer rates describing iodine translocation from “rest of the body” to “blood”, “blood” to “thyroid”, “thyroid” to the “rest of the body”, and “blood” to “urine” produced pseudo-models with weighted relative likelihoods consistently greater than the base model. There is weak evidence to support that the ICRP 78 iodine model is the best approximation of the iodine dataset used in the study. Further efforts in internal dosimetry modeling might benefit from looking at methods to identify transfer coefficients and compartments a priori to create more reliable models. Key Words: AIC, iodine, compartmental biokinetic models, internal dosimetry, model assessment

Reliability Analysis of Transfer Coefficients of an Iodine Biokinetic Model Using Akaike Information Criterion

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