Speaker
Description
Dynamic positron emission tomography (dPET) enables the estimation of pharmacokinetic parameters from time-activity curves, providing quantitative information relevant to cancer theranostics \cite{T}. However, its clinical adoption remains limited, partly due to the lack of optimized acquisition protocols. Here, we optimize dPET acquisition using the theory of design of experiments applied to the human pharmacokinetics of $^{18}$F-FDG. Tracer kinetics are modeled with an irreversible two-tissue, three-compartment model \cite{R} with observables $C_b$ and $(C_f+C_p)$, where $C_b$, $C_f$, and $C_p$ denote radiotracer concentrations in blood and target tissue (free and phosphorylated). As in \cite{L}, 97 acquisition points are considered over 75 minutes, with a minimum interval of 5 seconds, while allowing the time points to be freely optimized. Time-moment optimization is performed under D-, A-, and E-optimality criteria using nominal $k_1$, $k_2$, and $k_3$ values for nine organs (grey matter, white matter, cerebellum, thyroid, myocardium, liver, spleen, pancreas, and kidney). Our analysis revealed that these 9 organs cluster into three kinetic classes (slow, intermediate, fast), and our optimal designs consistently show that the empirical protocol from \cite{L} is not optimal, offering a novel framework for dPET protocol development. The authors thank the funding from São Paulo Research Foundation (FAPESP): #2020/05556-0, #2024/21475-1, #2021/10265-8 (CEPID CancerThera).
Bibliography
@article{T,
author = {Takahashi, M. E. S. and Mosci, C. and Souza, E. M. and Brunetto, S. Q. and Etchebehere, E. and Santos, A. O. and Camacho, M. R. and Miranda, E. and Lima, M. C. L. and Amorim, B. J. and Souza, C. and Pericole, F. V. and Lorand-Metze, I. and Ramos, C. D.},
title = {Proposal for a quantitative {18F-FDG PET/CT} metabolic parameter to assess the intensity of bone involvement in multiple myeloma},
journal = {Scientific Reports},
year = {2019},
volume = {9},
pages = {16429},
doi = {10.1038/s41598-019-52740-2},
url = {http://doi.org/10.1038/s41598-019-52740-2}
}
@article{L,
author = {Liu, G. and Yu, H. and Shi, D. and Hu, P. and Hu, Y. and Tan, H. and Zhang, Y. and Yin, H. and Shi, H.},
title = {Short-time total-body dynamic PET imaging performance in quantifying the kinetic metrics of {$^{18}$F-FDG} in healthy volunteers},
journal = {European Journal of Nuclear Medicine and Molecular Imaging},
year = {2022},
volume = {49},
number = {8},
pages = {2493--2503},
doi = {10.1007/s00259-021-05500-2},
url = {https://doi.org/10.1007/s00259-021-05500-2}
}
@article{R,
author = {Rodrigues, D. S. and Soares, G. A. and Gonz{\'a}lez-L{\'o}pez, V. A. and Bezerra, A. T. and Jirstrand, M. and Miranda, J. R. A.},
title = {Accessing the pharmacokinetics of magnetic nanoparticles in cirrhosis-associated hepatocarcinogenesis by ordinary differential equation modeling and AC biosusceptometry},
journal = {Mathematics in Medical and Life Sciences},
year = {2024},
volume = {1},
number = {1},
pages = {2391739},
doi = {10.1080/29937574.2024.2391739},
url = {https://doi.org/10.1080/29937574.2024.2391739}
}
