Torg-Pavlov ratio qualification to diagnose developmental cervical spinal stenosis based on HRViT neural network.

Journal: BMC musculoskeletal disorders
PMID: 40269821

Abstract

BACKGROUND: Developing computer-assisted methods to measure the Torg-Pavlov ratio (TPR), defined as the ratio of the sagittal diameter of the cervical spinal canal to the sagittal diameter of the corresponding vertebral body on lateral radiographs, can reduce subjective influence and speed up processing. The TPR is a critical diagnostic parameter for developmental cervical spinal stenosis (DCSS), as it normalizes variations in radiographic magnification and provides a cost-effective alternative to CT/MRI in resource-limited settings. No study focusing on automatic measurement was reported. The aim was to develop a deep learning-based model for automatically measuring the TPR, and then to establish the distribution of asymptomatic Chinese TPR.

Authors

  • Yao Wu
  • Zhenxi Zhang
    Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
  • Jie Liang
  • Weiwen Wu
    Key Lab of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China.
  • Weifei Wu
    College of Computer Science and Technology, Harbin Engineering University, Harbin, Heilongjiang, China.

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