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The added prognostic value of radiological phenotype combined with clinical features and molecular subtype in anaplastic gliomas.

Minsu LeeKyung Hwa HanSung Soo AhnSohi BaeYoon Seong ChoiJe-Beom HongJong Hee ChangSe-Hoon KimSeung-Koo Lee
Published in: Journal of neuro-oncology (2019)
RRS derived from VASARI features was an independent predictor of survival in patients with anaplastic gliomas. The addition of RRS significantly improved the predictive performance of the molecular feature based model.
Keyphrases
  • high grade
  • machine learning
  • single molecule