177Lu-PSMA-617 Transport in Solid Tumors via a 3D Image-based Spatio-temporal Model

Anahita Piranfar, Madjid Soltani*, Farshad Kashkooli, Wenbo Zhan, Ajay Bhandari, Arman Rahmim

*Corresponding author for this work

Research output: Contribution to journalAbstractpeer-review

Abstract

Radiopharmaceutical therapy (RPT) via the utilization of radioligands enables targeted delivery of radionuclides to cancer cells while keeping radiation exposure to untargeted cells low. An example application of tremendous value includes prostate-specific membrane antigen (PSMA) targeted RPTs of prostate cancer. Noninvasive magnetic resonance (MR) imaging has been widely used for pretreatment workup in patients with prostate cancer. We developed a 3D spatiotemporal drug delivery model based on patient MR imaging data to capture the essential pharmacokinetic interactions between PSMA radioligands and solid prostate tumors. This study is aimed to determine the effects of receptor density, recycling rate, and synthesis rate of PSMA receptors on the mean concentration of 177Lu-PSMA-617 in the tumor.
Original languageEnglish
Pages (from-to)P811
Number of pages1
JournalJournal of Nuclear Medicine
Volume64
Issue numberS1
Publication statusPublished - 1 Jun 2023
EventSociety of Nuclear Medicine and Molecular Imaging Annual Meeting 2023 - McCormick Place, Chicago, IL, United States
Duration: 24 Jun 202327 Jun 2023
https://am.snmmi.org/iMIS/SNMMI-AM

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