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@MISC{Lohmann:908194,
      author       = {Lohmann, Philipp and Lerche, Christoph and Bauer, Elena and
                      Steger, Jan and Stoffels, Gabriele and Blau, Tobias and
                      Dunkl, Veronika and Filss, Christian P and Stegmayr, Carina
                      and Neumaier, Bernd and Shah, Nadim J and Fink, Gereon and
                      Langen, Karl-Josef and Galldiks, Norbert},
      title        = {{NIMG}-82. {PREDICTING} {ISOCITRATE} {DEHYDROGENASE}
                      {GENOTYPE} {IN} {GLIOMAS} {USING} {FET} {PET} {RADIOMICS}},
      issn         = {1523-5866},
      reportid     = {FZJ-2022-02447},
      year         = {2017},
      abstract     = {AbstractBACKGROUNDWe investigated the potential of
                      O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET textural
                      features compared with static and dynamic FET PET parameters
                      for preoperative differentiation of IDH-mutated (mut) from
                      IDH-wild type (wt) gliomas.METHODSEighty-four glioma
                      patients underwent dynamic FET PET imaging prior to
                      histological confirmation on a stand-alone PET scanner (56
                      patients; 31 GBM-wt, 3 GBM-mut, 10 AA-wt, 7 AA-mut, 2
                      AII-mut, 3 ODGII-mut) or a high-resolution hybrid PET/MR
                      scanner (28 patients; 15 GBM-wt, 2 GBM-mut, 1 AA-wt, 7
                      AA-mut, 1 ODGIII-mut, 1 AII-wt, 1 AII-mut). The IDH genotype
                      was assessed by immunohistochemistry or direct sequencing
                      (if immunohistochemistry was negative). Maximum and mean
                      tumor-to-brain ratios (TBRmax/mean) of FET uptake were
                      determined and time-activity curves of FET uptake were used
                      to evaluate the dynamic PET parameters time-to-peak (TTP)
                      and slope (slope of linear regression line evaluated 20-50
                      min post-injection). Additionally, 39 textural parameters
                      were calculated using the software LifeX. The diagnostic
                      accuracy for IDH genotype prediction by FET PET was
                      evaluated using ROC analyses using neuropathological results
                      of IDH analysis as reference. In order to further increase
                      the diagnostic accuracy, parameters were combined using
                      linear logistic regression. Data of each scanner type were
                      analyzed separately.RESULTSIndependent of scanner type,
                      diagnostic accuracies of slope, TBRmean and TBRmax were
                      similar (range, $75-80\%).$ Ten textural features showed an
                      accuracy ranging from $71-79\%$ independent of scanner type.
                      For both PET scanners the combined analysis increased the
                      diagnostic accuracy $(84\%$ and $93\%,$
                      respectively).CONCLUSIONSThe combination of static and
                      dynamic FET PET parameters with radiomics derived from
                      textural feature analysis leads to a high diagnostic
                      accuracy to predict IDH genotype of cerebral gliomas.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN / INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)VDB1046 / I:(DE-Juel1)INM-3-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)4},
      doi          = {10.1093/neuonc/nox168.652},
      url          = {https://juser.fz-juelich.de/record/908194},
}