Abstract
Purpose
Calculation of the uncertainty of the individual time-integrated activity coefficient (TIACs) is desirable in molecular radiotherapy. However, the calculation of TIAC’s uncertainty in single-time-point (STP) method has never been reported in the literature. This study presents a method based on the Bayesian fitting (BF) to calculate the standard deviation (SD) of individual TIACs in the STP dosimetry.
Methods
Biokinetic data of 177Lu-DOTATATE in kidneys were obtained from PMID33443063. BF methods with extended objective function, which optimize the fitting using prior knowledge of the function’s parameters, were used. Reference TIACs (rTIACs) were calculated by fitting a mono-exponential function to the all-time-point data. The goodness of fit was checked based on the visual inspection and the coefficient of variations (CV) of the fitted parameters < 0.5. BF with relative (BFr) and absolute-based (BFa) variance methods were used to obtain the calculated TIACs (cTIACs) from the STP dosimetry. Performance of the STP method was obtained by calculating the relative deviation (RD) between cTIACs and rTIACs.
Results
Visual inspection showed a good fit for all patients with CV of fitted parameters less than 50%. The mean ± SD of cTIAC’s %RD were 7.0 ± 25.2 for BFr and 2.6 ± 8.9 for BFa. The range of %CV of the individual cTIAC’s SD for BFr and BFa methods was 36–78% and 22–33%, respectively, while the %CV of the rTIAC SD was 0.8–49%.
Conclusion
We introduce the BF method to calculate the SD of individual TIACs in STP dosimetry. The presented method might be used as an alternative method for uncertainty analysis in STP dosimetry.
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Data Availability
The data used in this study are available in PMID33443063.
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Funding
This work was supported by Hibah Publikasi Terindeks Internasional (PUTI) Pascasarjana 2022–2023 from Universitas Indonesia with grant number NKB-277/UN2.RST/HKP.05.00/2022. The authors gratefully acknowledge the financial support provided by Universitas Indonesia (Hibah PUTI Pascasarjana, NKB-277/UN2.RST/HKP.05.00/2022), which made this research possible. The authors would also like to express their appreciation to the National Research and Innovation Agency, Indonesia (DIPA Pusdiklat BATAN, No. 216/KA/VIII/2021; Beasiswa Lanjutan BRIN, No. 2/II/HK/2022), for their scholarship to AFJ, which enabled the author to complete this study.
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Conceptualization: Deni Hardiansyah; methodology: Deni Hardiansyah; formal analysis and investigation: Achmad F. Jundi, M. Dlorifun Naqiyyun, Bisma B. Patrianesha, Deni Hardiansyah; writing—original draft preparation: Achmad F. Jundi, M. Dlorifun Naqiyyun, Bisma B. Patrianesha, Deni Hardiansyah; writing—review and editing: Achmad F. Jundi, M. Dlorifun Naqiyyun, Bisma B. Patrianesha, Intan A. S. Mu’minah, Ade Riana, Deni Hardiansyah; funding acquisition: Achmad F. Jundi, Intan A. S. Mu’minah, Deni Hardiansyah; resources: Deni Hardiansyah; supervision: Deni Hardiansyah.
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Achmad F. Jundi, M. Dlorifun Naqiyyun, Bisma B. Patrianesha, Intan A. S. Mu’minah, Ade Riana, and Deni Hardiansyah declare that they have no competing interests.
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The study received approval from the Institutional Review Board, and written informed consent was obtained from all participating patients (PMID33443063).
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Jundi, A.F., Naqiyyun, M.D., Patrianesha, B.B. et al. Uncertainty Analysis of Time-Integrated Activity Coefficient in Single-Time-Point Dosimetry Using Bayesian Fitting Method. Nucl Med Mol Imaging 58, 120–128 (2024). https://doi.org/10.1007/s13139-024-00851-8
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DOI: https://doi.org/10.1007/s13139-024-00851-8