A Novel Reparability Assessment Scoring System for Full-Thickness Rotator Cuff Tears

Area of Science:

• Orthopedic surgery
• Musculoskeletal imaging
• Biomechanical research

Background:

• Predicting arthroscopic rotator cuff tear reparability preoperatively is challenging.
• Difficult repairs can lead to poor outcomes and high retear rates.

Purpose of the Study:

• To develop a preoperative assessment score for predicting rotator cuff tear reparability.
• The score aims to guide surgical decisions and improve patient prognosis.

Main Methods:

• Retrospective cohort study of 170 patients with large rotator cuff tears (>2 cm).
• Evaluated preoperative MRI factors, clinical assessments, and demographics.
• Developed a 4-variable reparability score using logistic regression and ROC analysis.

Main Results:

• Key factors for the score include positive tangent sign, infraspinatus fatty infiltration (≤grade 2), coronal tear size (≥26 mm), and remnant tendon length (<15 mm).
• A score <3 predicted successful complete repair with 95.9% specificity.
• The score demonstrated good predictive accuracy (AUC, 0.803).

Conclusions:

• A novel reparability assessment score accurately predicts the likelihood of complete arthroscopic rotator cuff repair.
• Scores <3 suggest complete repair is feasible.
• Scores ≥3 indicate potential difficulty, warranting consideration of alternative treatments like biologic grafts or arthroplasty.