High accuracy epidermal growth factor receptor mutation prediction via histopathological deep learning.

Journal: BMC pulmonary medicine
Published Date: Jul 5, 2023

Abstract

BACKGROUND: The detection of epidermal growth factor receptor (EGFR) mutations in patients with non-small cell lung cancer is critical for tyrosine kinase inhibitor therapy. EGFR detection requires tissue samples, which are difficult to obtain in some patients, costing them the opportunity for further treatment. To realize EGFR mutation prediction without molecular detection, we aimed to build a high-accuracy deep learning model with only haematoxylin and eosin (H&E)-stained slides.

Authors

  • Dan Zhao
    Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
  • YanLi Zhao
    Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650200, China.
  • Sen He
    Digital Manufacturing Laboratory, Beijing Institute of Technology, Beijing, China.
  • Zichen Liu
    Department of Pathology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China.
  • Kun Li
    State Key Laboratory of Veterinary Etiological Biology National Foot-and-Mouth Disease Reference Laboratory Lanzhou Veterinary Research Institute Chinese Academy of Agricultural Sciences, Lanzhou, Gansu, China.
  • Lili Zhang
    Pharmaceutics Department, Institute of Medicinal Biotechnology, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, PR China.
  • Xiaojun Zhang
    Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China.
  • Shuhao Wang
    Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, 100084, P. R. China.
  • Nanying Che
    Department of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China cheny0448@163.com.
  • Mulan Jin
    Department of Pathology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China. kinmokuran@163.com.

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