Differential diagnosis of benign and malignant vertebral compression fractures: Comparison and correlation of radiomics and deep learning frameworks based on spinal CT and clinical characteristics.

Journal: European journal of radiology
Published Date:

Abstract

PURPOSE: Differentiating benign from malignant vertebral compression fractures (VCFs) is a diagnostic dilemma in clinical practice. To improve the accuracy and efficiency of diagnosis, we evaluated the performance of deep learning and radiomics methods based on computed tomography (CT) and clinical characteristics in differentiating between Osteoporosis VCFs (OVCFs) and malignant VCFs (MVCFs).

Authors

  • Shuo Duan
    College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, China.
  • Yichun Hua
    Department of Medical Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Guanmei Cao
    Department of Radiology, 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.
  • Wei Cui
  • Duo Zhang
    Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, 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.