osteoarthritis
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: At least 18 years old Able to walk for at least 20 minutes without a cane With or without a diagnosis of knee OA Has provided written informed consent
Exclusion criteria
Exclusion criteria: Reported pain in the ankles, hips, or lower back that might affect mobility or function Contraindication to full weight bearing: recent injury, surgery or diagnosis to the lower extremity for which a physician has restricted weight bearing status to less than weight bearing as tolerated (e.g., feather weight bearing, non-weightbearing) Any other diagnosis or suspected condition that impacts mobility or function (e.g., inflammatory conditions, neurologic conditions) Any contraindication to undergoing imaging including MRI, PCCT or fluoroscopy (e.g., metal implants, pregnancy) Unable to communicate in either Dutch or English
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Our aim is to develop, refine, optimize and adapt a library of data collection protocols and data processing workflows to measure knee kinematics and kinetics during different functional tasks. This aim involves technical development and therefore does not involve specific research questions that require statistical analyses. | — |
Secondary
| Measure | Time frame |
|---|---|
| Secondary study parameters measured will depend on each specific protocol/workflow developed. In addition to kinematics and kinetics, we may also evaluate reliability, validity, or feasibility of the models. This would include statistical tests like intraclass correlation coefficients (ICCs), standard errors of measurement (SEMs), interclass correlation coefficients (e.g. Pearson correlations), root mean square errors (RMSEs), and Bland Altman plots. The evaluation of feasibility is more qualitative, and includes measurements of time to collect data, time to process and analyse data, potential for automation of workflow steps (e.g. segmentation, registration), costs and skills required to perform complete protocols/workflows, and robustness of results when comparing models with varying levels of complexity, automation, or personalization. | — |
Countries
Netherlands
Contacts
Erasmus MC, Universitair Medisch Centrum Rotterdam