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Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature.

Yiming LiXing LiuZenghui QianZhiyan SunKaibin XuKai WangXing FanZhong ZhangShaowu LiYinyan WangTao Jiang
Published in: European radiology (2018)
• ATRX in lower-grade gliomas could be predicted using radiomic analysis. • The LASSO regression algorithm and SVM performed well in radiomic analysis. • Nine radiomic features were screened as an ATRX-predictive radiomic signature. • The machine-learning model for ATRX-prediction was validated by an independent database.
Keyphrases
  • machine learning
  • high grade
  • magnetic resonance imaging
  • contrast enhanced
  • deep learning
  • squamous cell carcinoma
  • computed tomography
  • magnetic resonance
  • adverse drug
  • drug induced
  • data analysis