MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.

Abstract

Authors

• Yiming Li
  Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China.
• Zenghui Qian
  Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
• Kaibin Xu
  Chinese Academy of Sciences, Institute of Automation, Beijing, China.
• Kai Wang
  Department of Rheumatology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
• Xing Fan
  Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
• Shaowu Li
  Neurological Imaging Center, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
• Tao Jiang
  Department of Respiratory and Critical Care Medicine, Center for Respiratory Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
• Xing Liu
  School of Food Science and Engineering, Hainan University 58 Renmin Avenue Haikou 570228 China zhangzeling@hainanu.edu.cn benchao312@hainanu.edu.cn xuhuan.hnu@foxmail.com qichen@hainanu.edu.cn sunzhichang11@163.com hmcao@hainanu.edu.cn.
• Yinyan Wang
  Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. Electronic address: tiantanyinyan@126.com.

Keywords

External Resources