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A quantitative model based on clinically relevant MRI features differentiates lower grade gliomas and glioblastoma.

Hang CaoE Zeynep Erson-OmayXuejun LiMurat GünelJennifer MoliternoRobert K Fulbright
Published in: European radiology (2020)
• Lower grade glioma and glioblastoma have significant different location and component volume distributions. • We built machine learning prediction models that could help accurately differentiate lower grade gliomas and GBM cases. We introduced a fast evaluation model for possible clinical differentiation and further analysis.
Keyphrases
  • machine learning
  • high grade
  • magnetic resonance imaging
  • artificial intelligence
  • contrast enhanced
  • high resolution
  • mass spectrometry
  • magnetic resonance
  • deep learning
  • big data
  • diffusion weighted imaging