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Static 18F-FET PET and DSC-PWI based on hybrid PET/MR for the prediction of gliomas defined by IDH and 1p/19q status.

Shuangshuang SongLeiming WangHongwei YangYongzhi ShanYe ChengLixin XuChengyan DongGuoguang ZhaoJie Lu
Published in: European radiology (2020)
• Static 18F-FET PET and DSC-PWI parameters differed between low- and high-grade gliomas, with the highest AUC of the mean value of normalized CBV. • Static 18F-FET PET and DSC-PWI parameters based on hybrid PET/MR showed predictive value in identifying glioma IDH mutation subtypes, which have gained importance for both determining the diagnosis and prognosis of gliomas according to the 2016 WHO classification. • Static 18F-FET PET and DSC-PWI parameters have limited potential in differentiating IDH-mutated with 1p/19q codeletion oligodendrogliomas from IDH-wildtype glioblastomas or IDH-mutated astrocytomas.
Keyphrases
  • high grade
  • low grade
  • pet ct
  • positron emission tomography
  • computed tomography
  • wild type
  • pet imaging
  • machine learning
  • magnetic resonance
  • contrast enhanced
  • magnetic resonance imaging
  • deep learning
  • risk assessment