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Full kinetic modeling analysis of [18F]fluorocholine Positron Emission Tomography (PET) at initial diagnosis of high-grade glioma

Authors :
Sebastià Rubí
Pedro Bibilioni
Marina Villar
Marta Brell
Manuel Valiente
Margalida Galmés
María Toscano
Gabriel Matheu
José Luis Chinchilla
Jesús Molina
José Luis Valera
Ángel Ríos
Meritxell López
Cristina Peña
Source :
NeuroImage: Clinical, Vol 42, Iss , Pp 103616- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Purpose: The main objective was to characterize the tracer uptake kinetics of [18F]fluoromethylcholine ([18F]F-CHO) in high-grade gliomas (HGG) through a full PET kinetic modeling approach. Secondarily, we aimed to explore the relationship between the PET uptake measures and the HGG molecular features. Materials and methods: Twenty-four patients with a suspected diagnosis of HGG were prospectively included. They underwent a dynamic brain [18F]F-CHO-PET/CT, from which a tumoral time-activity curve was extracted. The plasma input function was obtained through arterial blood sampling with metabolite correction. These data were fitted to 1- and 2-tissue-compartment models, the best of which was selected through the Akaike information criterion. We assessed the correlation between the kinetic parameters and the conventional static PET metrics (SUVmax, SUVmean and tumor-to-background ratio TBR). We explored the association between the [18F]F-CHO-PET quantitative parameters and relevant molecular biomarkers in HGG. Results: Tumoral time-activity curves in all patients showed a rapid rise of [18F]F-CHO uptake followed by a plateau-like shape. Best fits were obtained with near-irreversible 2-tissue-compartment models. The perfusion-transport constant K1 and the net influx rate Ki showed strong correlation with SUVmax (r = 0.808–0.861), SUVmean (r = 0.794–0.851) and TBR (r = 0.643–0.784), p

Details

Language :
English
ISSN :
22131582
Volume :
42
Issue :
103616-
Database :
Directory of Open Access Journals
Journal :
NeuroImage: Clinical
Publication Type :
Academic Journal
Accession number :
edsdoj.3e576682e5d546c78dd8d39f25622c4c
Document Type :
article
Full Text :
https://doi.org/10.1016/j.nicl.2024.103616