Individual-level metabolic connectivity from dynamic [18F]FDG PET reveals glioma-induced impairments in brain architecture and offers novel insights beyond the SUVR clinical standard.

Purpose: This study evaluates the potential of within-individual Metabolic Connectivity (wi-MC), from dynamic [18F]FDG PET data, based on the Euclidean Similarity method. This approach leverages the biological information of the tracer's full temporal dynamics, enabling the direct extraction of indi...

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Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 52; no. 3; pp. 836 - 851
Main Authors:	Vallini, Giulia, Silvestri, Erica, Volpi, Tommaso, Lee, John J., Vlassenko, Andrei G., Goyal, Manu S., Cecchin, Diego, Corbetta, Maurizio, Bertoldo, Alessandra
Format:	Journal Article
Published:	Springer Nature Feb2025
Online Access:	View this record in EBSCOhost