Simplified methods for SERT occupancy estimation measured with [11C]DASB PET bolus plus infusion
Year: 2025
Type: article
Abstract: Assessment of an antidepressant's occupancy at the serotonin transporter (SERT) in vivo using PET scans represents a demanding procedure. We evaluated novel approaches for SERT quantification to simplify the occupancy calculation. [ 11 C]DASB PET/MRI scans with bolus plus constant infusion were performed twice in 47 healthy controls and 31 patients with major depressive disorder with intravenous application of 8 mg citalopram or saline solution (randomized, cross-over, double-blind). Binding potentials (BP P and BP ND ) were estimated over time and within two radioligand equilibrium periods (before and after drug challenge). Reference occupancy was calculated as the relative decrease in post-drug BP P between the placebo and citalopram scans. We introduced three methods for estimating SERT occupancy. Method 1 replaced the arterial blood sampling (BP P ) by reference region modeling during equilibrium timeframes (BP ND ). Method 2 replaced the post-dose placebo equilibrium period with the pre-dose citalopram equilibrium period. Method 3 integrated aspects of both Methods 1 and 2, utilizing BP ND and the pre-dose citalopram equilibrium phase. The results showed equivalent occupancy values ( p < 0.05) for the majority of VOIs and high agreement (max R 2 = 0.89) between the reference (utilizing arterial blood sampling, along with the placebo and citalopram scan) and the proposed methods, indicating that they are a promising solution for simplifying occupancy estimation.
Source: NeuroImage
Authors: Magdalena Ponce de León, Matej Murgaš, Leo R Silberbauer, Marcus Hacker, Gregor Gryglewski, Andreas Hahn, Rupert Lanzenberger
Institution: Medical University of Vienna
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,540
Awards: G5025293018, G631904915, G6941960124
OpenAlex ID: W4409374663
