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@ARTICLE{Suchorska:845495,
      author       = {Suchorska, B. and Albert, N. L. and Bauer, E. K. and Tonn,
                      J. C. and Galldiks, N.},
      title        = {{T}he role of amino acid {PET} in the light of the new
                      {WHO} classification 2016 for brain tumors},
      journal      = {The quarterly journal of nuclear medicine and molecular
                      imaging},
      volume       = {62},
      number       = {3},
      issn         = {0392-0208},
      address      = {Torino},
      publisher    = {Ed. Minerva Medica},
      reportid     = {FZJ-2018-02729},
      pages        = {267-71},
      year         = {2018},
      abstract     = {Since its introduction in 2016, the revision of the World
                      Health Organization (WHO) classification of central nervous
                      system tumors has alreadychanged the diagnostic and
                      therapeutic approach in glial tumors. Blurring the lines
                      between entities formerly labelled as “high-grade” or
                      “lowgrade”,molecular markers define distinct biological
                      subtypes with different clinical course. This new
                      classification raises the demand for noninvasiveimaging
                      methods focusing on depicting metabolic processes. We
                      performed a review of current literature on the use of
                      amino-acid PET(AA-PET) for obtaining diagnostic or
                      prognostic information on glioma in the setting of the
                      current WHO 2016 classification. So far, only a fewstudies
                      have focused on combining molecular genetic information and
                      metabolic imaging using AA-PET. The current review
                      summarizes theinformation available on “molecular
                      grading” as well as prognostic information obtained from
                      AA-PET and delivers an insight into a possibleinterrelation
                      between metabolic imaging and glioma genetics. Within the
                      framework of molecular characterization of gliomas,
                      metabolic imagingusing AA-PET is a promising tool for
                      non-invasive characterization of molecular features and to
                      provide additional prognostic information.Further studies
                      incorporating molecular and metabolic features are necessary
                      to improve the explanatory power of AA-PET in glial tumors},
      cin          = {INM-3},
      ddc          = {570},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29696947},
      UT           = {WOS:000445240400005},
      doi          = {10.23736/S1824-4785.18.03090-X},
      url          = {https://juser.fz-juelich.de/record/845495},
}