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@ARTICLE{Stetter:1046717,
      author       = {Stetter, Isabelle and Werner, Jan-Michael and Wollring,
                      Michael and Ceccon, Garry and Ciantar, Keith George and
                      Stoffels, Gabriele and Mottaghy, Felix M and Fink, Gereon R
                      and Langen, Karl-Josef and Lohmann, Philipp and Galldiks,
                      Norbert},
      title        = {{P}rediction of progression-free andoverall survival
                      following temozolomide chemoradiation using {FET}
                      {PET}-base,d parameter.s including radiomics in patients
                      with glio blastorna},
      journal      = {Neuro-oncology advances},
      volume       = {7},
      number       = {1},
      issn         = {2632-2498},
      address      = {Oxford},
      publisher    = {Oxford University Press},
      reportid     = {FZJ-2025-03929},
      pages        = {vdaf196},
      year         = {2025},
      note         = {supported by the Deutsche Forschungsgemeinschaft project
                      number 428090865/SPP2177 (Norbert Galldiks, Philipp Lohmann,
                      Keith George Ciantar)},
      abstract     = {Background: Early after surgery and completion of
                      first-line radiotherapy with concomitant temozolomide, the
                      prediction of progression-free and overall survival (PFS,
                      OS) is of considerable interest for managing patients with
                      glioblastoma.Methods: Sixty-three newly diagnosed patients
                      with glioblastoma (age range, 19-82 years) who received PET
                      imaging using the radiolabeled amino acid
                      O-(2-[18F]fluoroethyl)-L-tyrosine (FET) after surgery or
                      biopsy and completion of radiotherapy with concomitant
                      temozolomide were evaluated. Static FET PET parameters, that
                      is, maximum and mean tumor-to-brain ratios (TBRmax,
                      TBRmean), metabolic tumor volumes (MTV), and the dynamic FET
                      PET parameters time-to-peak (TTP) and slope were obtained.
                      Additionally, n = 1,303 FET PET radiomics features were
                      extracted per patient, of which 15 robust features were
                      selected for further evaluation based on test-retest
                      analysis. The prognostic values of FET PET parameters and
                      radiomics features were evaluated using
                      receiver-operating-characteristic (ROC) analyses regarding a
                      favorable PFS and OS. Subsequently, univariate and
                      multivariate survival estimates were performed to assess the
                      prognostic value of these parameters in predicting a
                      significantly longer PFS and OS.Results: ROC analyses
                      revealed that static parameters (ie, TBRmax, MTV) and one
                      radiomics feature were the most powerful parameters to
                      predict a significantly longer PFS (all P = .002) and OS
                      (all P ≤ .02). In addition, the dynamic parameter TTP
                      predicted a significantly longer OS (P ≤ .03) but not PFS
                      (P > .05). TBRmax, MTV, and one radiomics feature remained
                      significant in multivariate survival analysis (all P ≤
                      .03).Conclusion: Our results suggest that FET PET
                      parameters, including radiomics, are highly prognostic in
                      patients with glioblastoma at an early stage of first-line
                      therapy.Keywords: artificial intelligence; glioma;
                      prognosis.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525) / DFG
                      project G:(GEPRIS)428090865 - Radiomics basierend auf MRT
                      und Aminosäure PET in der Neuroonkologie (428090865)},
      pid          = {G:(DE-HGF)POF4-5252 / G:(GEPRIS)428090865},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {41000272},
      UT           = {WOS:001578996800001},
      doi          = {10.1093/noajnl/vdaf196},
      url          = {https://juser.fz-juelich.de/record/1046717},
}