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RECRUITING
NCT07781553
NA

Biomarkers to Predict Rotator Cuff Repair Healing on Postoperative MRI

Sponsor: Joseph W. Galvin

View on ClinicalTrials.gov

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

Interventions

DIAGNOSTIC_TEST

MRN

MRN without contrast

Locations (1)

University of Iowa

Iowa City, Iowa, United States