Deep learning algorithms from histopathological images stratify molecular subtypes for leiomyosarcoma: a proof-and-concept diagnostic study.

Journal: International journal of surgery (London, England)
Published Date:

Abstract

BACKGROUND: The leiomyosarocma (LMS) is the most common soft tissue sarcoma, and its molecular subtypes were identified with therapeutic sensitivity and prognosis. We aimed to develop and validate deep learning (DL) algorithms to stratify molecular subtypes and predict survival by using single hematoxylin-eosin stained whole slide images (WSIs).

Authors

  • Shaohui He
    Department of Bone Tumor Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
  • Jun Chen
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Yanfang Liu
    School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China. Electronic address: yfliu610@sina.com.
  • Yanbin Xiao
    Department of Orthopaedic Surgery, Yunnan Tumor Hospital, Kunming Medical University, 650100, Kunming, Yunnan, China.
  • Mei Li
    Department of Laboratory Medicine, Med+X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Dongjie Jiang
  • Mengchen Yin
    Department of Orthopaedics, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Xin Jiang
    Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, People's Republic of China.
  • Na Cui
    Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
  • Zhengwei Zhang
  • Wei Wei
    Dept. Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Shangjiang Yu
    Joint Research Center for Musculoskeletal Tumor, School of Health Science and Engineering, University of Shanghai for Science and Technology, 200093, Shanghai, China.
  • Yao Zhang
    Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Xiaopan Cai
    Spinal Tumor Center, Department of Orthopaedic Oncology, No.905 Hospital of People's Liberation Army Navy, Changzheng Hospital, Naval Medical University (Second Military Medical University), 200003, Shanghai, China.
  • Haifeng Wei
  • Jianru Xiao
    Spinal Tumor Center, Department of Orthopaedic Oncology, No.905 Hospital of People's Liberation Army Navy, Changzheng Hospital, Naval Medical University (Second Military Medical University), 200003, Shanghai, China.

Keywords

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