Identification of Origin for Spinal Metastases from MR Images: Comparison Between Radiomics and Deep Learning Methods.

Journal: World neurosurgery
Published Date: Jul 1, 2023

Abstract

OBJECTIVE: To determine whether spinal metastatic lesions originated from lung cancer or from other cancers based on spinal contrast-enhanced T1 (CET1) magnetic resonance (MR) images analyzed using radiomics (RAD) and deep learning (DL) methods.

Authors

  • Shuo Duan
    College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, China.
  • Guanmei Cao
    Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Yichun Hua
    Department of Medical Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Junnan Hu
    Department of Computer, School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing 100083, China.
  • Yali Zheng
  • Fangfang Wu
    Department of Respiratory, Critical Care, and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
  • Shuai Xu
    Department of Dermatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Querrey Institute for Bioelectronics, Northwestern University, Evanston, Illinois, USA. Electronic address: stevexu@northwestern.edu.
  • Tianhua Rong
    Department of Orthopaedic Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Baoge Liu
    Department of Orthopaedic Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China. Electronic address: baogeliu@hotmail.com.

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