Comparison of lumbar disc degeneration grading between deep learning model SpineNet and radiologist: a longitudinal study with a 14-year follow-up.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Published Date: May 15, 2025

Abstract

PURPOSE: To assess the agreement between lumbar disc degeneration (DD) grading by the convolutional neural network model SpineNet and radiologist's visual grading.

Authors

  • Niko Murto
    Department of Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland. niko.murto@hus.fi.
  • Teija Lund
    Department of Orthopaedics and Traumatology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Hannu Kautiainen
    Primary Health Care Unit, Finland and Folkhälsan Research Center, Kuopio University Hospital, Helsinki, Finland.
  • Katariina Luoma
    Department of Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Liisa Kerttula
    Department of Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals