TY  - JOUR
AU  - Friedrich, Michel
AU  - Werner, Jan-Michael
AU  - Steinbach, Joachim P
AU  - Sabel, Michael
AU  - Herrlinger, Ulrich
AU  - Piroth, Marc
AU  - Stoffels, Gabriele
AU  - Filss, Christian P
AU  - Lohmann, Philipp
AU  - Shah, Nadim J
AU  - Ruge, Maximilian I
AU  - Mottaghy, Felix M
AU  - Goldbrunner, Roland
AU  - Langen, Karl-Josef
AU  - Fink, Gereon R
AU  - Kocher, Martin
AU  - Galldiks, Norbert
TI  - Functional connectivity between tumor region and resting-state networks as imaging biomarker for overall survival in recurrent gliomas diagnosed by O -(2-[18F]fluoroethyl)- l -tyrosine PET
JO  - Neuro-oncology advances
VL  - 7
IS  - 1
SN  - 2632-2498
CY  - Oxford
PB  - Oxford University Press
M1  - FZJ-2025-02236
SP  - vdaf023
PY  - 2025
N1  - This open-access publication is funded by the DeutscheForschungsgemeinschaft (DFG, German Research Foundation,contract number 491111487).
AB  - BackgroundAmino acid PET using the tracer O-(2-[18F]fluoroethyl)-l-tyrosine (FET) is one of the most reliable imaging methods for detecting glioma recurrence. Here, we hypothesized that functional MR connectivity between the metabolic active recurrent tumor region and resting-state networks of the brain could serve as a prognostic imaging biomarker for overall survival (OS).MethodsThe study included 82 patients (26–81 years; median Eastern Cooperative Oncology Group performance score, 0) with recurrent gliomas following therapy (WHO-CNS 2021 grade 4 glioblastoma, n = 57; grade 3 or 4 astrocytoma, n = 12; grade 2 or 3 oligodendroglioma, n = 13) diagnosed by FET PET simultaneously acquired with functional resting-state MR. Functional connectivity (FC) was assessed between tumor regions and 7 canonical resting-state networks.ResultsWHO tumor grade and IDH mutation status were strong predictors of OS after recurrence (P < .001). Overall FC between tumor regions and networks was highest in oligodendrogliomas and was inversely related to tumor grade (P = .031). FC between the tumor region and the dorsal attention network was associated with longer OS (HR, 0.88; 95%CI, 0.80–0.97; P = .007), and showed an independent association with OS (HR, 0.90; 95%CI, 0.81–0.99; P = .033) in a model including clinical factors, tumor volume and MGMT. In the glioblastoma subgroup, tumor volume and FC between the tumor and the visual network (HR, 0.90; 95%CI, 0.82–0.99, P = .031) were independent predictors of survival.ConclusionsRecurrent gliomas exhibit significant FC to resting-state networks of the brain. Besides tumor type and grade, high FC between the tumor and distinct networks could serve as independent prognostic factors for improved OS in these patients.
LB  - PUB:(DE-HGF)16
C6  - 40084168
UR  - <Go to ISI:>//WOS:001443909500001
DO  - DOI:10.1093/noajnl/vdaf023
UR  - https://juser.fz-juelich.de/record/1041408
ER  -