Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature.

Journal: International journal of computer assisted radiology and surgery
PMID:

Abstract

PURPOSE: The purpose of this study was to assess if radiologists assisted by deep learning (DL) algorithms can achieve diagnostic accuracy comparable to that of pre-surgical biopsies in benign-malignant differentiation of musculoskeletal tumors (MST).

Authors

  • Keyang Zhao
    Department of Orthopedic Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, 200233, China.
  • Xiaozhong Zhu
    Department of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600 Yishan Road, Shanghai, 200233, China.
  • Mingzi Zhang
    Institute of Fluid Science, Tohoku University, 2-1-1, Katahira, Aoba-ku, Sendai, Miyagi, 980-8577, Japan.
  • Zhaozhi Xie
    Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200233, China.
  • Xu Yan
    Dept of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90024, United States.
  • Shenghui Wu
    Department of Population Health Sciences, UT Health San Antonio, San Antonio, Texas, USA.
  • Peng Liao
    Key Laboratory of Agro-ecological Processes in Subtropical Region , Institute of Subtropical Agriculture , Chinese Academy of Sciences , 644# Yuandaer Road , Changsha 410125 , Hunan Province , China . Email: liaopeng@isa.ac.cn ; ; Tel: +86-731-8461-9703.
  • Hongtao Lu
    Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200233, China.
  • Wei Shen
    Department of General Surgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
  • Chicheng Fu
    Shanghai Aitrox Technology Corporation Limited, Shanghai, China.
  • Haoyang Cui
    Shanghai Aitrox Technology Corporation Limited, Shanghai, China.
  • Chuan He
    School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, PR China.
  • Qu Fang
    Shanghai Aitrox Technology Corporation Limited, Shanghai, 200032, P.R. of China.
  • Jiong Mei
    Department of Orthopedic Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, 200233, China.