Actively Recruiting
Mobile Technology to Measure Knee Health in Osteoarthritis
Led by VA Office of Research and Development · Updated on 2026-05-12
47
Participants Needed
1
Research Sites
104 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Veterans face a high prevalence of knee osteoarthritis (OA), but current diagnostic methods often miss early stages when interventions are more effective. This project will evaluate smartphone-based motion capture via OpenCap to measure joint mechanics in knee OA patients during functional activities, comparing its performance to a conventional motion capture system, patient-reported symptoms, and knee joint structure. The findings will have the potential to enable clinicians to trial OpenCap in its current form, provide insights into tracking joint health, and guide refinements to advance toward earlier diagnosis of knee OA by complementing symptom assessments with measures of joint mechanics.
CONDITIONS
Official Title
Mobile Technology to Measure Knee Health in Osteoarthritis
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Veteran or non-Veteran
- Male or female
- Diagnosed with early knee osteoarthritis
- Participated in the Precision Assessment of Platelet Rich Plasma for Joint Preservation study (NCT03460236)
- Able and willing to provide informed consent for this follow-up study
You will not qualify if you...
- Symptomatic osteoarthritis in joints other than the knee in the lower body
- History of joint replacement
- Rheumatic disease
- Body mass index over 35 kg/m2
- Severe systemic disease defined as American Society of Anesthesiologists (ASA) class 3 or higher
- Pregnant or planning to become pregnant during the study
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
VA Palo Alto Health Care System, Palo Alto, CA
Palo Alto, California, United States, 94304-1207
Actively Recruiting
Research Team
J
Jade He, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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