$^{177}$Lu SPECT Imaging in the Presence of $^{90}$Y: Does $^{90}$Y Degrade Image Quantification? A Simulation Study
Abstract
This work aims to investigate the accuracy of quantitative SPECT imaging of Lu in the presence of Y, which occurs in dual-isotope radiopharmaceutical therapy (RPT) involving both isotopes. We used the GATE Monte Carlo simulation toolkit to conduct a phantom study, simulating spheres filled with Lu and Y placed in a cylindrical water phantom that was also filled with activity of both radionuclides. We simulated multiple phantom configurations and activity combinations by varying the location of the spheres, the concentrations of Lu and Y in the spheres, and the amount of background activity. We investigated two different scatter window widths to be used with triple energy window (TEW) scatter correction. We also created multiple realizations of each configuration to improve our assessment, leading to a total of 540 simulations. Each configuration was imaged using a simulated Siemens SPECT camera. The projections were reconstructed using the standard 3D OSEM algorithm, and errors associated with Lu activity quantification and contrast-to-noise ratios (CNRs) were determined. In all configurations, the quantification error was within 6% of the no-Y case, and we found that quantitative accuracy may slightly improve when Y is present because of reduction of errors associated with TEW scatter correction. The CNRs were not significantly impacted by the presence of Y, but they were increased when a wider scatter window width was used for TEW scatter correction. The width of the scatter windows made a small but statistically significant difference of 1-2% on the recovered Lu activity. Based on these results, we can conclude that activity quantification of Lu and lesion detectability is not degraded by the presence of Y.
Keywords
Cite
@article{arxiv.2301.10870,
title = {$^{177}$Lu SPECT Imaging in the Presence of $^{90}$Y: Does $^{90}$Y Degrade Image Quantification? A Simulation Study},
author = {Cassandra Miller and Carlos Uribe and Xinchi Hou and Arman Rahmim and Anna Celler},
journal= {arXiv preprint arXiv:2301.10870},
year = {2023}
}
Comments
16 pages, 7 figures, submitted to Biomedical Physics and Engineering Express