A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytoma.

Journal: European radiology
PMID:

Abstract

OBJECTIVES: To develop a high-accuracy MRI-based deep learning method for predicting cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion status in isocitrate dehydrogenase (IDH)-mutant astrocytoma.

Authors

  • Liqiang Zhang
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Rui Wang
    Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
  • Jueni Gao
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Yi Tang
    Department of Nephrology, Institute of Nephrology, West China Hospital of Sichuan University, Chengdu, China.
  • Xinyi Xu
    School of Micro-Nano Electronics, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
  • Yubo Kan
    School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Xu Cao
  • Zhipeng Wen
    Department of Radiology, Sichuan Cancer Hospital, Chengdu, China.
  • Zhi Liu
  • Shaoguo Cui
    College of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, China.
  • Yongmei Li
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.