Shoulder measurements on MRI: Statistical analysis of patients without and with rotator cuff tears and predictive modeling

• Published in: Clinical anatomy (New York, N.Y.) N.Y.), 2020-03, Vol.33 (2), p.173-186
• Main Authors: Matcuk, George R., Moin, Paymann, Cen, Steven
• Format: Article
• Language: English
• Subjects: Abnormalities; Accuracy; anatomy; Biomedical materials; Impingement; Magnetic resonance imaging; Model accuracy; morphology; Prediction models; Regression analysis; Rotator cuff; Shoulder; shoulder measurements; Statistical analysis; Statistical prediction
• ISSN: 0897-3806; 1098-2353
• DOI: 10.1002/ca.23422

This study aims to determine significant differences between various measurements of shoulder structures and relationships in patients with and without rotator cuff tears and identify a subset of these measurements that may merit further investigation. Shoulder MRIs of 120 patients with rotator cuff tears (RCT group) and 80 patients with normal examinations (No RCT group) were retrospectively identified. Numerous measurements of shoulder anatomy and relationships and pathology characterization were performed for each study. The mean and ranges of measurements for each group were identified, and P‐values were calculated to assess differences between the two groups. Classification and Regression Tree (CART) identified prediction models for separating the two groups based on these shoulder MRI measurements. Statistically significant differences were observed for 9 of 18 of the shoulder measurements between the two groups (P