Deep Learning Algorithm Enables Cerebral Venous Thrombosis Detection With Routine Brain Magnetic Resonance Imaging.

Journal: Stroke
Published Date:

Abstract

BACKGROUND: Cerebral venous thrombosis (CVT) is a rare cerebrovascular disease. Routine brain magnetic resonance imaging is commonly used to diagnose CVT. This study aimed to develop and evaluate a novel deep learning (DL) algorithm for detecting CVT using routine brain magnetic resonance imaging.

Authors

  • Xiaoxu Yang
    Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China.
  • Pengxin Yu
    Institute of Advanced Research, Infervision, Beijing, China.
  • Haoyue Zhang
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
  • Rongguo Zhang
    Infervision, Beijing, China.
  • Yuehong Liu
    Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, China (X.Y., Y.L., H.L., P.S., X.L., X.J., Q.Y.).
  • Haoyuan Li
    School of Computer Science, Yangtze University, Jingzhou, Hubei Province, China.
  • Penghui Sun
    Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, China (X.Y., Y.L., H.L., P.S., X.L., X.J., Q.Y.).
  • Xin Liu
    Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences, Weifang, Shandong, China.
  • Yu Wu
    Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, People's Republic of China.
  • Xiuqin Jia
    Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, China (X.Y., Y.L., H.L., P.S., X.L., X.J., Q.Y.).
  • Jiangang Duan
    Department of Emergency (J.D.), Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Xunming Ji
    Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Qi Yang
    Department of Radiology, The First Hospital of Jilin University, No.1, Xinmin Street, Changchun 130021, China (Y.W., M.L., Z.M., J.W., K.H., Q.Y., L.Z., L.M., H.Z.).