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@ARTICLE{Galldiks:906460,
      author       = {Galldiks, Norbert and Angenstein, Frank and Werner,
                      Jan-Michael and Bauer, Elena K. and Gutsche, Robin and Fink,
                      Gereon R. and Langen, Karl-Josef and Lohmann, Philipp},
      title        = {{U}se of advanced neuroimaging and artificial intelligence
                      in meningiomas},
      journal      = {Brain pathology},
      volume       = {32},
      number       = {2},
      issn         = {1015-6305},
      address      = {Oxford},
      publisher    = {Wiley-Blackwell},
      reportid     = {FZJ-2022-01463},
      pages        = {-},
      year         = {2022},
      abstract     = {Anatomical cross-sectional imaging methods such as
                      contrast-enhanced MRI and CT are the standard for the
                      delineation, treatment planning, and follow-up of patients
                      with meningioma. Besides, advanced neuroimaging is
                      increasingly used to non-invasively provide detailed
                      insights into the molecular and metabolic features of
                      meningiomas. These techniques are usually based on MRI,
                      e.g., perfusion-weighted imaging, diffusion-weighted
                      imaging, MR spectroscopy, and positron emission tomography.
                      Furthermore, artificial intelligence methods such as
                      radiomics offer the potential to extract quantitative
                      imaging features from routinely acquired anatomical MRI and
                      CT scans and advanced imaging techniques. This allows the
                      linking of imaging phenotypes to meningioma characteristics,
                      e.g., the molecular-genetic profile. Here, we review several
                      diagnostic applications and future directions of these
                      advanced neuroimaging techniques, including radiomics in
                      preclinical models and patients with meningioma.},
      cin          = {INM-4 / INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-3-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525) / DFG project 428090865 -
                      Radiomics basierend auf MRT und Aminosäure PET in der
                      Neuroonkologie},
      pid          = {G:(DE-HGF)POF4-5253 / G:(GEPRIS)428090865},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:35213083},
      UT           = {WOS:000760940200002},
      doi          = {10.1111/bpa.13015},
      url          = {https://juser.fz-juelich.de/record/906460},
}