Predicting Knee Osteoarthritis Severity from Radiographic Predictors: Data from the Osteoarthritis Initiative.

Journal: Annals of biomedical engineering
Published Date: May 9, 2025

Abstract

PURPOSE: In knee osteoarthritis (KOA) treatment, preventive measures to reduce its onset risk are a key factor. Among individuals with radiographically healthy knees, however, future knee joint integrity and condition cannot be predicted by clinically applicable methods. We investigated if knee joint morphology derived from widely accessible and cost-effective radiographs could be helpful in predicting future knee joint integrity and condition.

Authors

  • Teemu A T Nurmirinta
    Department of Technical Physics, University of Eastern Finland, Kuopio, Finland. teemu.nurmirinta@uef.fi.
  • Mikael J Turunen
    Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
  • Jussi Tohka
    Department of Bioengineering and Aerospace Engineering, Universidad Carlos III de Madrid, Leganes, Spain; Instituto de Investigación Sanitaria Gregorio Marañon, Madrid, Spain; University of Eastern Finland, AI Virtanen Institute for Molecular Sciences, Kuopio, Finland.
  • Mika E Mononen
    Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
  • Mimmi K Liukkonen
    Diagnostic Imaging Centre, Kuopio University Hospital, The Wellbeing Services County of North Savo, Kuopio, Finland.

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