Artificial intelligence in osteoarthritis: repair by knee joint distraction shows association of pain, radiographic and immunological outcomes.

Journal: Rheumatology (Oxford, England)
Published Date: Aug 1, 2023

Abstract

OBJECTIVES: Knee joint distraction (KJD) has been associated with clinical and structural improvement and SF marker changes. The current objective was to analyse radiographic changes after KJD using an automatic artificial intelligence-based measurement method and relate these to clinical outcome and SF markers.

Authors

  • Mylène P Jansen
    Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Christoph Salzlechner
    ImageBiopsy Lab, Vienna, Austria.
  • Eleanor Barnes
    ImageBiopsy Lab, Vienna, Austria.
  • Matthew D DiFranco
    Image Biopsy Lab GmbH, Zehetnergasse 6/2/2, 1140, Vienna, Austria.
  • Roel J H Custers
    Department of Orthopedic Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Fiona E Watt
    Centre for Osteoarthritis Pathogenesis Versus Arthritis, Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
  • Tonia L Vincent
    Centre for Osteoarthritis Pathogenesis Versus Arthritis, Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
  • Simon C Mastbergen
    Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.

Keywords

External Resources

Popular Topics
Recent Journals