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Biomarkers to Predict Rotator Cuff Repair Healing on Postoperative MRI
Sponsor: Joseph W. Galvin
Summary
Rotator cuff repair healing is highly variable with healing failure rates ranging from 11 to 94%. To this date, there are no specific biomarkers in shoulder tissues that can be associated with rotator cuff healing after surgery. The purpose of this study is to perform diagnostic imaging study (MRI without contrast), for research purposes, to subjects in the Orthopedics Biobank (IRB#202403832), to identify biomarkers associated with failure of rotator cuff repair healing. We will evaluate biomarkers in synovial fluid and shoulder tissues collected and analyzed as part of the IRB#202403832, and correlate the difference in biomarkers in patients that did and did not have signs of healing in the MRI. Secondarily, we aim to develop a model using demographics, radiographic parameters/MRI measurements and biomarkers to accurately predict rotator cuff repair healing rates at 1-year following surgery. This will be a study from a population of patients who are enrolled in the Orthopedic biorepository under IRB #202403832. Patients who underwent a rotator cuff repair will be invited to get an MRI without contrast of their operated shoulder at a period between 6 months to 1 year post-operative.
Official title: Biomarkers to Predict Rotator Cuff Repair Healing
Key Details
Gender
All
Age Range
18 Years - 99 Years
Study Type
INTERVENTIONAL
Enrollment
60
Start Date
2026-09-01
Completion Date
2027-08-30
Last Updated
2026-08-24
Healthy Volunteers
No
Conditions
Interventions
MRN
MRN without contrast
Locations (1)
University of Iowa
Iowa City, Iowa, United States