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@INPROCEEDINGS{Gutsche:907682,
      author       = {Gutsche, R. and Bauer, E. K. and Kocher, M. and Werner, J.
                      M. and Fink, G. R. and Shah, N. J. and Langen, K. J. and
                      Galldiks, N. and Lohmann, P.},
      title        = {{M}ultimodal {PET}/{MRI} radiomics and clinical parameters
                      for overall survival prediction in patients with {IDH}
                      wildtype glioblastoma},
      reportid     = {FZJ-2022-02155},
      year         = {2022},
      abstract     = {Ziel/Aim Currently, most radiomics studies on survival
                      prediction in brain tumor patients are based on MRI only.
                      The goal of our study was to evaluate multimodal radiomics
                      derived from amino acid PET and MRI and clinical parameters
                      for survival prediction in patients with newly diagnosed IDH
                      wildtype glioblastoma.Methodik/Methods Sixty-three patients
                      with newly diagnosed IDH wildtype glioblastoma were
                      evaluated retrospectively. At initial diagnosis, all
                      patients underwent structural MRI and
                      O-(2-[F-18]fluoroethyl)-L-tyrosine (FET) PET. Tumor volumes
                      were automatically segmented using a deep learning-based
                      tool followed by visual inspection. Predefined and deep
                      radiomics features were extracted from both imaging
                      modalities. Feature repeatability analyses and feature
                      selection were performed to avoid overfitting. Cox
                      regression models for overall survival were built from
                      clinical parameters such as age or the extent of resection,
                      radiomics features, and combinations thereof, and finally
                      validated using 5-fold cross-validation.Ergebnisse/Results
                      The median overall survival was 12 months (range, 0–64
                      months). Higher age and larger FET PET tumor volumes were
                      significantly correlated with shorter overall survival (age,
                      r=−0.39, p<0.001; volume, r=−0.31, p<0.05). Models
                      solely based on predefined FET PET or MRI radiomics features
                      showed a similar mean concordance index (C-index) as the
                      model based on clinical parameters (C-indices, 0.68±0.04;
                      0.64±0.03; and 0.69±0.08, respectively). Multimodal
                      radiomics based on predefined and deep features yielded
                      improved C-indices of 0.75±0.06 and 0.72±0.09,
                      respectively. A model based on multimodal radiomics and
                      clinical parameters achieved the best prognostic performance
                      (C-index, 0.80±0.04).Schlussfolgerungen/Conclusions Our
                      results suggest an added clinical value of multimodal FET
                      PET/MRI radiomics with clinical parameters for the
                      non-invasive survival prediction in patients with IDH
                      wildtype glioblastoma.},
      month         = {Apr},
      date          = {2022-04-27},
      organization  = {60. Jahrestagung der Deutschen
                       Gesellschaft für Nuklearmedizin,
                       Leipzig (Germany), 27 Apr 2022 - 30 Apr
                       2022},
      cin          = {INM-4 / PGI-JCNS-TA / INM-3 / INM-11 / JARA-BRAIN},
      cid          = {I:(DE-Juel1)INM-4-20090406 /
                      I:(DE-Juel1)PGI-JCNS-TA-20110113 /
                      I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)VDB1046},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)1},
      doi          = {10.1055/s-0042-1746120},
      url          = {https://juser.fz-juelich.de/record/907682},
}