Rapid intraoperative multi-molecular diagnosis of glioma with ultrasound radio frequency signals and deep learning.

Journal: EBioMedicine
Published Date: Dec 2, 2023

Abstract

BACKGROUND: Molecular diagnosis is crucial for biomarker-assisted glioma resection and management. However, some limitations of current molecular diagnostic techniques prevent their widespread use intraoperatively. With the unique advantages of ultrasound, this study developed a rapid intraoperative molecular diagnostic method based on ultrasound radio-frequency signals.

Authors

  • Xuan Xie
    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China.
  • Chao Shen
    Department of Epidemiology, School of Public Health, Soochow University, Suzhou 215123, China.
  • Xiandi Zhang
    Department of Ultrasound, Huashan Hospital, Fudan University, Shanghai, China.
  • Guoqing Wu
    Department of Electronic Engineering, Fudan University, Shanghai, China.
  • Bojie Yang
    Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China; Neurosurgical Institute of Fudan University, Shanghai, China.
  • Zengxin Qi
    Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
  • Qisheng Tang
    Department of Neurosurgery, Huashan Hospital, Fudan University, 200040, Shanghai, China.
  • Yuanyuan Wang
    Department of Biotechnology, College of Life Science and Technology, Jinan University Guangzhou, 510632, China.
  • Hong Ding
    Department of Ultrasound, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. ding.hong@zs-hospital.sh.cn.
  • Zhifeng Shi
    Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
  • Jinhua Yu
    Department of Electronic Engineering, Fudan University, Shanghai, 200433, China. jhyu@fudan.edu.cn.

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