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@ARTICLE{Paech:142103,
      author       = {D. Paech$^*$ and J. Windschuh$^*$ and J. Oberhollenzer$^*$
                      and C. Dreher$^*$ and F. Sahm$^*$ and J.-E. Meissner$^*$ and
                      S. Goerke$^*$ and P. Schuenke$^*$ and M. Zaiss and S.
                      Regnery$^*$ and S. Bickelhaupt$^*$ and P. Bäumer$^*$ and M.
                      Bendszus and W. Wick$^*$ and A. Unterberg and P. Bachert$^*$
                      and M. Ladd$^*$ and H.-P. Schlemmer$^*$ and A. Radbruch$^*$},
      title        = {{A}ssessing the predictability of {IDH} mutation and {MGMT}
                      methylation status in glioma patients using
                      relaxation-compensated multipool {CEST} {MRI} at 7.0 {T}.},
      journal      = {Neuro-Oncology},
      volume       = {20},
      number       = {12},
      issn         = {1523-5866},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {DKFZ-2018-02333},
      pages        = {1661 - 1671},
      year         = {2018},
      abstract     = {Early identification of prognostic superior characteristics
                      in glioma patients such as isocitrate dehydrogenase (IDH)
                      mutation and O6-methylguanine-DNA-methyltransferase (MGMT)
                      promoter methylation status is of great clinical importance.
                      The study purpose was to investigate the non-invasive
                      predictability of IDH mutation status, MGMT promoter
                      methylation, and differentiation of low-grade versus
                      high-grade glioma (LGG vs HGG) in newly diagnosed patients
                      employing relaxation-compensated multipool chemical exchange
                      saturation transfer (CEST) MRI at 7.0 Tesla.Thirty-one
                      patients with newly diagnosed glioma were included in this
                      prospective study. CEST MRI was performed at a 7T whole-body
                      scanner. Nuclear Overhauser effect (NOE) and isolated amide
                      proton transfer (APT; downfield NOE-suppressed APT =
                      dns-APT) CEST signals (mean value and 90th signal
                      percentile) were quantitatively investigated in the whole
                      tumor area with regard to predictability of IDH mutation,
                      MGMT promoter methylation status, and differentiation of LGG
                      versus HGG. Statistics were performed using receiver
                      operating characteristic (ROC) and area under the curve
                      (AUC) analysis. Results were compared with advanced MRI
                      methods (apparent diffusion coefficient and relative
                      cerebral blood volume ROC/AUC analysis) obtained at
                      3T.dns-APT CEST yielded highest AUCs in IDH mutation status
                      prediction (dns-APTmean = $91.84\%,$ P < 0.01; dns-APT90 =
                      $97.96\%,$ P < 0.001). Furthermore, dns-APT metrics enabled
                      significant differentiation of LGG versus HGG (AUC:
                      dns-APTmean = 0.78, P < 0.05; dns-APT90 = 0.83, P < 0.05).
                      There was no significant difference regarding MGMT promoter
                      methylation status at any contrast (P >
                      0.05).Relaxation-compensated multipool CEST MRI,
                      particularly dns-APT imaging, enabled prediction of IDH
                      mutation status and differentiation of LGG versus HGG and
                      should therefore be considered as a non-invasive MR
                      biomarker in the diagnostic workup.},
      cin          = {E010 / G380 / E020 / G370 / E012 / L101},
      ddc          = {610},
      cid          = {I:(DE-He78)E010-20160331 / I:(DE-He78)G380-20160331 /
                      I:(DE-He78)E020-20160331 / I:(DE-He78)G370-20160331 /
                      I:(DE-He78)E012-20160331 / I:(DE-He78)L101-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29733378},
      pmc          = {pmc:PMC6231210},
      doi          = {10.1093/neuonc/noy073},
      url          = {https://inrepo02.dkfz.de/record/142103},
}