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KMID : 1036220230260010010
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Clinics in Shoulder and Elbow
2023 Volume.26 No. 1 p.10 ~ p.19
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Prognostic factors affecting structural integrity after arthroscopic rotator cuff repair: a clinical and histological study
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Pei Wei Wang
Chris Hyunchul Jo
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Abstract
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Background: Tendon degeneration contributes to rotator cuff tears; however, its role in postoperative structural integrity is poorly understood. The purpose of this study was to investigate the factors associated with postoperative structural integrity after rotator cuff repair, particularly focusing on the histology of tendons harvested intraoperatively.
Methods: A total of 56 patients who underwent primary arthroscopic rotator cuff repair between 2009 and 2011 were analyzed. A 3-mm-diameter sample of supraspinatus tendons was harvested en bloc from each patient after minimal debridement of the torn ends. Tendon degeneration was assessed using seven histological parameters on a semi-quantitative grading scale, and the total degeneration score was calculated. One-year postoperative magnetic resonance imaging was used to classify the patients based on retear.
Results: The total degeneration scores in the healed and retear groups were 13.93±2.03 and 14.08±2.23 (p=0.960), respectively. Arthroscopically measured anteroposterior (AP) tear sizes in the healed and retear groups were 24.30±12.35 mm and 36.42±25.23 mm (p=0.026), respectively. Preoperative visual analog scale pain scores at rest in the healed and retear groups were 3.54±2.37 and 5.16±2.16 (p=0.046), respectively. Retraction sizes in the healed and retear groups were 16.02±7.587 mm and 22.33±13.364 mm (p=0.037), respectively. The odds of retear rose by 4.2% for every 1-mm increase in AP tear size (p=0.032).
Conclusions: The postoperative structural integrity of the rotator cuff tendon was not affected by tendon degeneration, whereas the arthroscopically measured AP tear size of the rotator cuff tendon was an independent predictor of retear.
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KEYWORD
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Rotator cuff, Degeneration, Histology, Structural integrity, Predictive factor
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