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Tumor location-based classification of surgery-related language impairments in patients with glioma.

Shengyu FangYuchao LiangLianwang LiLei WangXing FanYinyan WangTao Jiang
Published in: Journal of neuro-oncology (2021)
According to our classification, patients with type II tumors had the worst language prognosis and longest recovery time. Our classification, based on tumor location, can reliably predict postoperative language status and may be used to guide tumor resection.
Keyphrases
  • machine learning
  • deep learning
  • autism spectrum disorder
  • minimally invasive
  • patients undergoing
  • atrial fibrillation
  • percutaneous coronary intervention