Brain Network-based Precision Medicine to Predict Dissatisfaction Following Total Knee Arthroplasty
Knee replacement surgery is a common and effective treatment for pain and mobility loss, yet up to 1 in 5 patients remain dissatisfied after surgery due to ongoing pain or difficulty with daily activities. Currently, clinicians cannot reliably predict which patients will experience these challenges. This study uses MRI scan of the brain to investigate whether specific patterns of brain activity can predict patient satisfaction after total knee arthroplasty (TKA). By comparing brain networks before surgery and afterward, and linking these changes to patient-reported pain and function, we aim to identify brain-based markers that can help predict outcomes, to improve satisfaction after knee replacement surgery.
• Male and female patients aged 18 years or older
• Primary TKA
• Diagnosis of osteoarthritis, inflammatory arthritis, or osteonecrosis