% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Lohmann:851739,
      author       = {Lohmann, Philipp and Lerche, Christoph and Bauer, Elena K.
                      and Steger, Jan and Stoffels, Gabriele and Blau, Tobias and
                      Dunkl, Veronika and Kocher, Martin and Viswanathan,
                      Shivakumar and Filss, Christian and Stegmayr, Carina and
                      Ruge, Maximillian I. and Neumaier, Bernd and Shah, Nadim J.
                      and Fink, Gereon R. and Langen, Karl-Josef and Galldiks,
                      Norbert},
      title        = {{P}redicting {IDH} genotype in gliomas using {FET} {PET}
                      radiomics},
      journal      = {Scientific reports},
      volume       = {8},
      number       = {1},
      issn         = {2045-2322},
      address      = {London},
      publisher    = {Nature Publishing Group},
      reportid     = {FZJ-2018-05266},
      pages        = {13328},
      year         = {2018},
      abstract     = {Mutations in the isocitrate dehydrogenase (IDH mut) gene
                      have gained paramount importance for the prognosis of glioma
                      patients. To date, reliable techniques for a preoperative
                      evaluation of IDH genotype remain scarce. Therefore, we
                      investigated the potential of
                      O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET radiomics using
                      textural features combined with static and dynamic
                      parameters of FET uptake for noninvasive prediction of IDH
                      genotype. Prior to surgery, 84 patients with newly diagnosed
                      and untreated gliomas underwent FET PET using a standard
                      scanner (15 of 56 patients with IDH mut) or a dedicated
                      high-resolution hybrid PET/MR scanner (11 of 28 patients
                      with IDH mut). Static, dynamic and textural parameters of
                      FET uptake in the tumor area were evaluated. Diagnostic
                      accuracy of the parameters was evaluated using the
                      neuropathological result as reference. Additionally, FET PET
                      and textural parameters were combined to further increase
                      the diagnostic accuracy. The resulting models were validated
                      using cross-validation. Independent of scanner type, the
                      combination of standard PET parameters with textural
                      features increased significantly diagnostic accuracy. The
                      highest diagnostic accuracy of $93\%$ for prediction of IDH
                      genotype was achieved with the hybrid PET/MR scanner. Our
                      findings suggest that the combination of conventional FET
                      PET parameters with textural features provides important
                      diagnostic information for the non-invasive prediction of
                      the IDH genotype.},
      cin          = {INM-3 / INM-4 / INM-5},
      ddc          = {000},
      cid          = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-4-20090406 /
                      I:(DE-Juel1)INM-5-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30190592},
      UT           = {WOS:000443801300002},
      doi          = {10.1038/s41598-018-31806-7},
      url          = {https://juser.fz-juelich.de/record/851739},
}