Magdalena Ponce de León , Matej Murgaš , Leo R Silberbauer , Marcus Hacker , Gregor Gryglewski , Andreas Hahn , Rupert Lanzenberger
{"title":"Simplified methods for SERT occupancy estimation measured with [11C]DASB PET bolus plus infusion","authors":"Magdalena Ponce de León , Matej Murgaš , Leo R Silberbauer , Marcus Hacker , Gregor Gryglewski , Andreas Hahn , Rupert Lanzenberger","doi":"10.1016/j.neuroimage.2025.121208","DOIUrl":null,"url":null,"abstract":"<div><div>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. [<sup>11</sup>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<sub>P</sub> and BP<sub>ND</sub>) 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<sub>P</sub> between the placebo and citalopram scans. We introduced three methods for estimating SERT occupancy. Method 1 replaced the arterial blood sampling (BP<sub>P</sub>) by reference region modeling during equilibrium timeframes (BP<sub>ND</sub>). 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<sub>ND</sub> and the pre-dose citalopram equilibrium phase. The results showed equivalent occupancy values (<em>p</em> < 0.05) for the majority of VOIs and high agreement (max R<sup>2</sup> = 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.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"311 ","pages":"Article 121208"},"PeriodicalIF":4.7000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NeuroImage","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1053811925002113","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROIMAGING","Score":null,"Total":0}
引用次数: 0
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. [11C]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 (BPP and BPND) 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 BPP between the placebo and citalopram scans. We introduced three methods for estimating SERT occupancy. Method 1 replaced the arterial blood sampling (BPP) by reference region modeling during equilibrium timeframes (BPND). 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 BPND 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 R2 = 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.
期刊介绍:
NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.