Impact of framing scheme optimization and smoking status on binding potential analysis in dynamic PET with [11C]ABP688

Autor: Cláudia Régio Brambilla, Jürgen Scheins, Lutz Tellmann, Ahlam Issa, Hans Herzog, N. Jon Shah, Irene Neuner, Christoph W. Lerche
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: EJNMMI Research, Vol 13, Iss 1, Pp 1-11 (2023)
Druh dokumentu: article
ISSN: 2191-219X
DOI: 10.1186/s13550-023-00957-8
Popis: Abstract Background For positron emission tomography (PET) ligands, such as [11C]ABP688, to be able to provide more evidence about the glutamatergic hypothesis in schizophrenia (SZ), quantification bias during dynamic PET studies and its propagation into the estimated values of non-displaceable binding potential (BPND) must be addressed. This would enable more accurate quantification during bolus + infusion (BI) neuroreceptor studies and further our understanding of neurological diseases. Previous studies have shown BPND-related biases can often occur due to overestimated cerebellum activity (reference region). This work investigates whether an alternative framing scheme can minimize quantification biases propagated into BPND, whether confounders, such as smoking status, need to be controlled for during the study, and what the consequences for the data interpretation following analysis are. A group of healthy controls (HC) and a group of SZ patients (balanced and unbalanced number of smokers) were investigated with [11C]ABP688 and a BI protocol. Possible differences in BPND quantification as a function of smoking status were tested with constant 5 min (‘Const 5 min’) and constant true counts (‘Const Trues’) framing schemes. In order to find biomarkers for SZ, the differences in smoking effects were compared between groups. The normalized BPND and the balanced number of smokers and non-smokers for both framing schemes were evaluated. Results When applying F-tests to the ‘Const 5 min’ framing scheme, effect sizes (η2p) and brain regions which showed significant effects fluctuated considerably with F = 50.106 ± 54.948 (9.389 to 112.607), P-values 0.005 to
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