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@INPROCEEDINGS{Kraft:1053912,
author = {Kraft, Manuel and Hilgers, Julia and Peplinski, Jana-Marie
and Werner, Jan-Michael and Ceccon, Garry and Wollring,
Michael and Stetter, Isabelle and Fink, Gereon R and Langen,
Karl-Josef and Mottaghy, Felix M and Ciantar, Keith George
and Shah, Nadim J and Lohmann, Philipp and Kocher, Martin
and Galldiks, Norbert},
title = {{IMG}-98. {M}etabolic response using the {PET} {RANO} 1.0
criteria following chemoradiation is associated with an
increase in functional connectivity},
issn = {1523-5866},
reportid = {FZJ-2026-01610},
year = {2025},
abstract = {AbstractBACKGROUNDThe emerging field of Cancer Neuroscience
suggests intense structural and functional connections
between gliomas and the CNS, leading to large-scale network
alterations. Resting-state fMRI (rs-fMRI) offers the option
to evaluate functional connectivity (FC) within this complex
network. For example, recent data suggest that the integrity
of FC obtained from single scans in recurrent gliomas is
prognostic in terms of overall survival. In the present
study, we evaluated in patients with glioma undergoing
treatment whether a metabolic response in
O-(2-[18F]-fluoroethyl)-L-tyrosine (FET) PET is also
associated with FC improvement using serial
rs-fMRI.METHODSForty-five patients with glioma characterized
according to the CNS WHO 2021 classification (glioblastoma,
n=27; grade 3 or 4 astrocytoma, n=8; grade 2 or 3
oligodendroglioma, n=10), were retrospectively identified.
Serial rs-fMRI and FET PET were performed using a 3T hybrid
PET/MR scanner before and after chemoradiation (n=27),
resection (n=9), or during the treatment-free interval at
two time points (n=9). The mean time between scans was 6.0
months. Metabolic response was assessed using the PET RANO
1.0 criteria. FC was assessed by examining the BOLD-activity
time course correlations in rs-fMRI within and between seven
canonical resting-state networks.RESULTSAt follow-up, FC of
brain regions within the limbic resting-state network
significantly increased in metabolic responders (n=23)
compared to non-responders (n=22) who showed a decrease in
FC (p=0.011). In subgroup analyses of the received treatment
modality, this change of FC in association with metabolic
response was significant only in patients who had received
chemoradiation (n=27; p=0.026), whereas in patients who had
undergone resection, a similar tendency unveiled (n=9;
p=0.053). In contrast, metabolic response was not associated
with FC changes in patients during the treatment-free
interval (n=9; p=0.459).CONCLUSIONSOur data suggest that FC
is restored in metabolic responders following glioma
treatment, indicating its predictive potential as imaging
marker for response assessment.},
month = {Nov},
date = {2025-11-20},
organization = {7th Quadrennial Meeting of the World
Federation of Neuro-Oncology Societies,
Honolulu (USA), 20 Nov 2025 - 23 Nov
2025},
cin = {INM-4},
ddc = {610},
cid = {I:(DE-Juel1)INM-4-20090406},
pnm = {5253 - Neuroimaging (POF4-525)},
pid = {G:(DE-HGF)POF4-5253},
typ = {PUB:(DE-HGF)1},
doi = {10.1093/neuonc/noaf201.1177},
url = {https://juser.fz-juelich.de/record/1053912},
}