A deep learning model for accurately predicting cancer-specific survival in patients with primary bone sarcoma of the extremity: a population-based study.

Journal: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Published Date: Aug 8, 2023

Abstract

PURPOSE: Primary bone and joint sarcomas of the long bone are relatively rare neoplasms with poor prognosis. An efficient clinical tool that can accurately predict patient prognosis is not available. The current study aimed to use deep learning algorithms to develop a prediction model for the prognosis of patients with long bone sarcoma.

Authors

  • Debin Cheng
    Department of Orthopaedics, Xijing Hospital Affiliated to The Fourth Military Medical University, Xi'an, Shanxi, China.
  • Dong Liu
    Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Xian Li
    Laboratory of Fruit Quality Biology, Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Hangzhou 310058, China.
  • Zhenzhou Mi
    Department of Orthopaedics, Xijing Hospital Affiliated to The Fourth Military Medical University, Xi'an, Shanxi, China.
  • Zhao Zhang
  • Weidong Tao
    Department of Orthopaedics, Xijing Hospital Affiliated to The Fourth Military Medical University, Xi'an, Shanxi, China.
  • Jingyi Dang
    Department of Orthopaedics, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China.
  • Dongze Zhu
    Department of Orthopaedics, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China.
  • Jun Fu
    Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China.
  • Hongbin Fan

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