Issue |
ITM Web Conf.
Volume 61, 2024
The 9th International Symposium on Current Progress in Mathematics and Sciences 2023 (The 9th ISCPMS 2023) in conjunction with AUA Academic Conference on the Application of Artificial Intelligences and Data Sciences in a Modern Science for a Better Life
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Article Number | 01023 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/itmconf/20246101023 | |
Published online | 10 January 2024 |
Calculation of the total number of radiation decay of Radiolabelled-Octreotate using non-linear mixed effect models
Department of Physics, Faculty Mathematics and Natural Sciences (FMIPA), Universitas Indonesia, Depok 16424, Indonesia
* Corresponding author: denihardiansyah@sci.ui.ac.id
Non-Linear Mixed Effect (NLME) is a method used in the area under the measured time-activity curve (AUC) calculations. The calculation of an accurate AUC is needed for an accurate determination of the radiation absorbed dose. In NLME, the error model might affect the accuracy of the estimation of the AUC. Therefore, the aim of this study was to determine the effect of error models on AUC calculations using NMLE. The data used in this study were from biokinetic data of the 111In-DOTATATE biodistribution in the tumour collected from the literature. The data were fitted using published bi-exponential function with several error models, namely constant, proportional, combined and exponential errors. The mean and standard deviation were determined from the AUC for each error model AUC values obtained from constant, proportional, combined, and exponential error were (4.40 ± 1.93) nmol·min, (3.13 ± 2.74) nmol·min, (3.22 ± 2.85) nmol·min and (3.14 ± 2.75) nmol·min, respectively. Based on the research results, the proportional, combined and exponential error were relatively produced better results compared to the constant error model in our dataset.
Key words: NLME / Radiolabelled-Octreotate / AUC
© The Authors, published by EDP Sciences, 2024
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