Work

Assessing non-invasive quantitative methods for [18F]SynVesT-1 PET imaging of synaptic vesicle glycoprotein 2A in the rat brain

Year: 2025

Type: article

Abstract: Synaptic vesicle glycoprotein 2A (SV2A) is a critical biomarker for evaluating synaptic density in neurological research. Among available radioligands, [ 18 F]SynVesT-1 is increasingly used in PET research because of its extended half-life, while having comparable pharmacokinetic properties to the widely used [ 11 C]UCB-J. However, quantitative application in rat models remains unexplored for [ 18 F]SynVesT-1. This study aims to validate quantitative kinetic modelling methods for [ 18 F]SynVesT-1 and develop non-invasive quantification methods for synaptic density in rats. First, blood analysis of [ 18 F]SynVesT-1 was performed to generate metabolite-corrected plasma input functions. Then, kinetic modelling was evaluated using compartmental analysis approaches, as well as Logan plot. Furthermore, non-invasive image-derived input functions (IDIF), with and without non-negative matrix factorization (NMF) were compared against the arterial input function (AIF). Blood analysis showed that the parent fraction of the tracer decreased over time following a sigmoid curve, while the plasma-to-whole blood ratio remained stable over time (0.89 ± 0.02). The two-tissue compartmental model (2TCM) and Logan plot were determined to be the most accurate methods for quantification of [ 18 F]SynVesT-1 kinetics in rats. Additionally, the results demonstrated strong agreement between AIF-derived and image-derived volume of distribution ( V T ) values, with both image-derived input approaches (IDIF and IDIF-NMF) performing equally well. These findings validate kinetic modelling methods for [ 18 F]SynVesT-1 PET, enabling their application in further rat studies for preclinical neuroscience research and prove that image-derived input functions are reliable non-invasive alternatives to AIF.

Source: European Journal of Nuclear Medicine and Molecular Imaging

DOI: 10.1007/s00259-025-07170-w

Authors: Lori Berckmans, Claudia Schrauwen, Alan Miranda, Steven Staelens, Daniele Bertoglio

Institutions: University of Antwerp, University of Namur, Namur Research Institute for Life Sciences

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,490