A magnetic resonance imaging (MRI)-based deep learning radiomics model predicts recurrence-free survival in lung cancer patients after surgical resection of brain metastases.

Abstract

Authors

• B Li
  School of Basic Medicine and Biological Sciences, Soochow University, Suzhou, Jiangsu 215123, PR China; National Engineering Laboratory for Modern Silk, Soochow University, Suzhou, Jiangsu 215123, PR China. Electronic address: lib@suda.edu.cn.
• H Li
  Merck Research Laboratories, Kenilworth, NJ, USA.
• J Chen
  Neurosurgery (J.C.).
• F Xiao
  Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 1 Swan Lake Road, Hefei, 230036, China.
• X Fang
  Department of Radiology, The Tenth Affiliated Hospital of Southern Medical University, No. 78 Wandao Road, Wanjiang Street, Dongguan People's Hospital, Dongguan, 523059, China.
• R Guo
  Department of Radiology, Third Affiliated Hospital of Sun Yat-Sen University, No. 2693 Huangpu Road, Guangzhou, 510630, China.
• M Liang
  Department of Radiology, The Tenth Affiliated Hospital of Southern Medical University, No. 78 Wandao Road, Wanjiang Street, Dongguan People's Hospital, Dongguan, 523059, China.
• Z Wu
  School of Data and Computer Science (Z.W.), Sun Yat-sen University, Guangzhou, China.
• J Mao
  Shenzhen Tencent Computer System Co. Ltd.Medical Information and Services,Shanghai 200030,China.
• J Shen
  Pediatric Medicine, the Affiliated Hospital of Chengde Medical University, Chengde, China.

Keywords

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