Deep learning-based classification and spatial prognosis risk score on whole-slide images of lung adenocarcinoma.

Journal: Histopathology
Published Date: Apr 18, 2023

Abstract

AIMS: Classification of histological patterns in lung adenocarcinoma (LUAD) is critical for clinical decision-making, especially in the early stage. However, the inter- and intraobserver subjectivity of pathologists make the quantification of histological patterns varied and inconsistent. Moreover, the spatial information of histological patterns is not evident to the naked eye of pathologists.

Authors

  • Hanlin Ding
    Department of Thoracic Surgery, Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
  • Yipeng Feng
    Department of Thoracic Surgery, Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
  • Xing Huang
    Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Jijing Xu
    Department of Thoracic Surgery, Taizhou Traditional Chinese Medicine Hospital, Taizhou, Jiangsu, China.
  • Te Zhang
    Department of Thoracic Surgery, Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
  • Yingkuan Liang
    Department of Thoracic Surgery, Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Bing Chen
    Department of Critical Care Medicine, The Second Hospital of Tianjin Medical University, Tianjin, China.
  • Qixing Mao
    Department of Thoracic Surgery, Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
  • Wenjie Xia
    Department of Thoracic Surgery, Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
  • Xiaocheng Huang
    Department of Pathology, Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
  • Lin Xu
    Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
  • Gaochao Dong
    Department of Thoracic Surgery, Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
  • Feng Jiang
    Hospital of Minzu University of China, Beijing 100081, China.

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