Predicting Knee Osteoarthritis

• Published in: Annals of biomedical engineering Vol. 44; no. 1; pp. 222 - 233
• Main Authors: Gardiner, Bruce S., Woodhouse, Francis G., Besier, Thor F., Grodzinsky, Alan J., Lloyd, David G., Zhang, Lihai, Smith, David W.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2016; Springer Nature B.V
• Subjects: Biochemistry; Biocompatibility; Biological and Medical Physics; Biomechanics; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedical materials; Biomedicine; Biophysics; Cartilage; Cartilage - metabolism; Cartilage - pathology; Cartilage - physiopathology; Classical Mechanics; Computational Biomechanics for Patient-Specific Applications; Epidemiology; Extracellular Matrix - metabolism; Extracellular Matrix - pathology; Female; Genetics; Humans; Male; Mathematical models; Models, Biological; Osteoarthritis; Osteoarthritis, Knee - metabolism; Osteoarthritis, Knee - pathology; Osteoarthritis, Knee - physiopathology; Population studies; Populations; Predictive Value of Tests; Recommendations; Risk; Risk Assessment; Risk management; Statistical models; Structural reliability analysis; Subject-specific risk prediction; Biomechanical modeling; Extracellular matrix; Cartilage degeneration

Treatment options for osteoarthritis (OA) beyond pain relief or total knee replacement are very limited. Because of this, attention has shifted to identifying which factors increase the risk of OA in vulnerable populations in order to be able to give recommendations to delay disease onset or to slow...