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A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer.

Ye LiXinna LvCancan ChenRuize YuBing WangDawei WangDailun Hou
Published in: European radiology experimental (2024)
• This is the first study to predict the EGFR mutation subtype simultaneously. • The Radio-GCN model holds the potential to be used as a diagnostic tool. • This study provides an imaging surrogate for identifying the EGFR mutation subtype.
Keyphrases
  • small cell lung cancer
  • brain metastases
  • epidermal growth factor receptor
  • deep learning
  • tyrosine kinase
  • magnetic resonance imaging
  • high resolution
  • computed tomography
  • magnetic resonance
  • contrast enhanced