Machine learning-based preoperative prediction of mutation status in adult gliomas using clinical features.

Journal: Neurological research
Published Date:

Abstract

BACKGROUND: As isocitrate dehydrogenase (IDH) mutation status represents a critical prognostic factor in adult gliomas, there is a demand for a straightforward but effective predictive model to facilitate rapid preoperative diagnosis.

Authors

  • Wei Chen
    Department of Urology, Zigong Fourth People's Hospital, Sichuan, China.
  • Peng Ren
  • Guo-Hao Huang
    Department of Neurosurgery, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
  • Jing-Peng Liu
    Department of Neurosurgery, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
  • Cheng Yang
    State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin 300071, China.
  • Fei Li
    Institute for Precision Medicine, Tsinghua University, Beijing, China.
  • Sheng-Qing Lv
    Department of Neurosurgery, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China.

Keywords

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