Multimetric Evaluation of Knee Cartilage Degeneration

This study addresses the assessment of knee osteoarthritis (OA), a degenerative joint disease primarily affecting cartilage. While current diagnostic methods like X-rays, CT scans, and MRI scans are subjective, this research aims to develop more objective assessment methods. Focusing on cartilage status in MRI and CT images, the study uses machine learning (ML) techniques to identify predictive parameters for OA severity assessment. Significant differences in cartilage metrics between OA patients and healthy individuals were found. Using the statistical differences a smaller feature set has been extracted and ML analysis (SVM and Logistic Regression) confirmed the effectiveness of these features. This research highlights the importance of precise image analysis and the potential of ML in enhancing OA severity assessment. The emphasis on tibial cartilages aligns with biomechanical considerations, offering insights for personalized treatment approaches.