Nucl Med Mol Imaging.  2024 Jun;58(3):120-128. 10.1007/s13139-024-00851-8.

Uncertainty Analysis of Time‑Integrated Activity Coefficient in Single‑Time‑Point Dosimetry Using Bayesian Fitting Method

• Jundi A
• Naqiyyun M
• Patrianesha B
• Mu’minah I
• Riana A
• Hardiansyah D

• KMID: 2556862
• DOI: http://doi.org/10.1007/s13139-024-00851-8

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.

Keyword

Coefficient of variation; Goodness of fit; Objective function; Relative deviation; Standard deviation