Knee osteoarthritis is a complex condition, and selecting effective non-drug treatments like orthoses or exercise is often difficult and imprecise. This study will follow individuals with early-stage knee osteoarthritis or previous anterior cruciate ligament injury to develop computational models that predict cartilage degeneration and pain over time. The models will integrate data from medical imaging, movement analysis, muscle strength testing, pain assessments, questionnaires, and biomarkers to improve personalized treatment planning.
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Change in Knee Cartilage Composition and Structure Assessed by Quantitative Magnetic Resonance Imaging
Timeframe: Data will be collected at three main time points: baseline, one-year follow-up, and three years follow-up. Additionally, a downscaled protocol will be used to follow the participants at 7- and 10 years follow-ups.