This project evaluates a new weight-bearing CT method to later improve early detection of implant migration after knee arthroplasty. This method aims to allow patients to apply a controlled load during CT scanning, simulating standing conditions with real-time feedback. The study has two phases. First, in healthy volunteers, biomechanical loading during prone simulated weight-bearing will be compared with a standard standing squat to validate the method. Second, in arthroplasty patients, standard radiographs will be compared with loaded and unloaded WBCT scans. Patients will not deviate from the standard plan of care. The CT images are additions to the standard RX images and are not intended for diagnostic purposes to the patient. The aim is to determine whether this method opens the door for more accurate and earlier detection of implant migration than current clinical imaging in the future, potentially improving long-term outcomes after knee arthroplasty.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
15
Static supine weight bearing CT in addition to standard care RX
Validation of static supine weight bearing against standing weight bearing using kinematic parameters
Comparison of lower-limb and trunk joint kinematics between static supine weight-bearing and standing weight-bearing conditions in healthy subjects using marker-based motion capture. Unit of Measure: Degrees (°)
Time frame: 1 year
Validation of static supine weight bearing against standing weight bearing using kinetic parameters
Comparison of ground reaction forces and joint moments between static supine weight-bearing and standing weight-bearing conditions in healthy subjects using force plate measurements. Unit of Measure: Newtons (N) and Newton-meters (Nm)
Time frame: 1 Year
Validation of static supine weight bearing against standing weight bearing using muscle activation
Comparison of lower-limb muscle activation patterns between static supine weight-bearing and standing weight-bearing conditions in healthy subjects using surface electromyography. Unit of Measure: Percentage of maximum voluntary contraction (%MVC)
Time frame: 1 year
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