Background: In peptide receptor radionuclide therapy (PRRT), accurate quantification of kidney activity on post-treatment SPECT images paves the way for patient-specific treatment. Due to the limited spatial resolution of SPECT images, the partial volume effect (PVE) is a significant source of quantitative bias. In this study, we aimed to evaluate the performance and robustness of anatomy-based partial volume correction (PVC) algorithms to recover the accurate activity concentration of realistic kidney geometries on [Formula: see text]Lu SPECT images recorded under clinical conditions.
View Article and Find Full Text PDFPurpose: Given the recent and rapid development of peptide receptor radionuclide therapy (PRRT), increasing emphasis should be placed on the early identification and quantification of therapeutic radiopharmaceutical (thRPM) extravasation during intravenous administration. Herein, we provide an analytical model of Lu-DOTA0-Tyr3-octreotate (Lutathera) infusion for real-time detection and characterization of thRPM extravasation.
Methods: For 33 Lutathera-based PRRT procedures using the gravity infusion method, equivalent dose rates (EDRs) were monitored at the patient's arm.