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@ARTICLE{Lohmann:890310,
      author       = {Lohmann, Philipp and Meißner, Anna-Katharina and Kocher,
                      Martin and Bauer, Elena K and Werner, Jan-Michael and Fink,
                      Gereon R and Shah, Nadim J and Langen, Karl-Josef and
                      Galldiks, Norbert},
      title        = {{F}eature-based {PET}/{MRI} radiomics in patients with
                      brain tumors},
      journal      = {Neuro-oncology advances},
      volume       = {2},
      number       = {$Supplement_4$},
      issn         = {2632-2498},
      address      = {Oxford},
      publisher    = {Oxford University Press868239},
      reportid     = {FZJ-2021-00883},
      pages        = {iv15 - iv21},
      year         = {2020},
      abstract     = {Radiomics allows the extraction of quantitative features
                      from medical images such as CT, MRI, or PET, thereby
                      providing additional, potentially relevant diagnostic
                      information for clinical decision-making. Because the
                      computation of these features is performed highly automated
                      on medical images acquired during routine follow-up,
                      radiomics offers this information at low cost. Further, the
                      radiomics features can be used alone or combined with other
                      clinical or histomolecular parameters to generate predictive
                      or prognostic mathematical models. These models can then be
                      applied for various important diagnostic indications in
                      neuro-oncology, for example, to noninvasively predict
                      relevant biomarkers in glioma patients, to differentiate
                      between treatment-related changes and local brain tumor
                      relapse, or to predict treatment response. In recent years,
                      amino acid PET has become an important diagnostic tool in
                      patients with brain tumors. Therefore, the number of studies
                      in patients with brain tumors investigating the potential of
                      PET radiomics or combined PET/MRI radiomics is steadily
                      increasing. This review summarizes current research
                      regarding feature-based PET as well as combined PET/MRI
                      radiomics in neuro-oncology.},
      cin          = {INM-4 / INM-3 / INM-11 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-3-20090406 /
                      I:(DE-Juel1)INM-11-20170113 / I:(DE-Juel1)VDB1046},
      pnm          = {573 - Neuroimaging (POF3-573) / DFG project 428090865 -
                      Radiomics basierend auf MRT und Aminosäure PET in der
                      Neuroonkologie},
      pid          = {G:(DE-HGF)POF3-573 / G:(GEPRIS)428090865},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33521637},
      UT           = {WOS:000897684800003},
      doi          = {10.1093/noajnl/vdaa118},
      url          = {https://juser.fz-juelich.de/record/890310},
}