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@ARTICLE{Friedrich:1041408,
      author       = {Friedrich, Michel and Werner, Jan-Michael and Steinbach,
                      Joachim P and Sabel, Michael and Herrlinger, Ulrich and
                      Piroth, Marc and Stoffels, Gabriele and Filss, Christian P
                      and Lohmann, Philipp and Shah, Nadim J and Ruge, Maximilian
                      I and Mottaghy, Felix M and Goldbrunner, Roland and Langen,
                      Karl-Josef and Fink, Gereon R and Kocher, Martin and
                      Galldiks, Norbert},
      title        = {{F}unctional connectivity between tumor region and
                      resting-state networks as imaging biomarker for overall
                      survival in recurrent gliomas diagnosed by {O}
                      -(2-[18{F}]fluoroethyl)- l -tyrosine {PET}},
      journal      = {Neuro-oncology advances},
      volume       = {7},
      number       = {1},
      issn         = {2632-2498},
      address      = {Oxford},
      publisher    = {Oxford University Press},
      reportid     = {FZJ-2025-02236},
      pages        = {vdaf023},
      year         = {2025},
      note         = {This open-access publication is funded by the
                      DeutscheForschungsgemeinschaft (DFG, German Research
                      Foundation,contract number 491111487).},
      abstract     = {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.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525) / DFG
                      project G:(GEPRIS)491111487 - Open-Access-Publikationskosten
                      / 2025 - 2027 / Forschungszentrum Jülich (OAPKFZJ)
                      (491111487)},
      pid          = {G:(DE-HGF)POF4-5252 / G:(GEPRIS)491111487},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {40084168},
      UT           = {WOS:001443909500001},
      doi          = {10.1093/noajnl/vdaf023},
      url          = {https://juser.fz-juelich.de/record/1041408},
}