Application of the new ICRP iodine biokinetic model for internal dosimetry in case of thyroid blocking

Administration of stable iodine has been considered a best measure to protect the thyroid from internal irradiation by radioiodine intake, and its efficacy on thyroid protection has been quantitatively evaluated in several simulation studies on the basis of simple iodine biokinetic models (i.e., thr...

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Bibliographic Details
Published inNuclear engineering and technology Vol. 52; no. 8; pp. 1826 - 1833
Main Authors Kwon, Tae-Eun, Chung, Yoonsun, Ha, Wi-Ho, Jin, Young Woo
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.08.2020
한국원자력학회
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Summary:Administration of stable iodine has been considered a best measure to protect the thyroid from internal irradiation by radioiodine intake, and its efficacy on thyroid protection has been quantitatively evaluated in several simulation studies on the basis of simple iodine biokinetic models (i.e., three-compartment model). However, the new iodine biokinetic model adopted by the International Commission on Radiological Protection interprets and expresses the thyroid blocking phenomenon differently. Therefore, in this study, the new model was analyzed in terms of thyroid blocking and implemented to reassess the protective effects and to produce dosimetric data. The biokinetic model calculation was performed using computation modules developed by authors, and the results were compared with those of experimental data and prior simulation studies. The new model predicted protective effects that were generally consistent with those of experimental data, except for those in the range of stable iodine administration −72 h before radioiodine exposure. Additionally, the dosimetric data calculated in this study demonstrates a critical limitation of the three-compartment model in predicting bioassay functions, and indicated that dose assessment 1 d after exposure would result in a similar dose estimate irrespective of the administration time of stable iodine.
ISSN:1738-5733
2234-358X
DOI:10.1016/j.net.2020.01.031