Nael Hawi1, Petra Magosch2, Mark Tauber3, Sven Lichtenberg4, Frank Martetschläger5, Peter Habermeyer5. 1. Department of Shoulder and Elbow Surgery, ATOS Clinic Munich, Munich, Germany; Trauma Department, Hannover Medical School, Hannover, Germany. Electronic address: hawi.nael@mh-hannover.de. 2. Department of Shoulder and Elbow Surgery, ATOS Clinic Heidelberg, Heidelberg, Germany; University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany. 3. Department of Shoulder and Elbow Surgery, ATOS Clinic Munich, Munich, Germany; Department of Traumatology and Sports Injuries, Paracelsus Medical University, Salzburg, Austria. 4. Department of Shoulder and Elbow Surgery, ATOS Clinic Heidelberg, Heidelberg, Germany. 5. Department of Shoulder and Elbow Surgery, ATOS Clinic Munich, Munich, Germany.
Abstract
BACKGROUND: A variety of measurements can be used to assess radiographic osteoarthritic changes of the shoulder. This study aimed to analyze the correlation between the radiographic humeral-sided Samilson and Prieto classification system and 3 different radiographic classifications describing the changes of the glenoid in the coronal plane. METHODS: The study material included standardized radiographs of 50 patients with idiopathic osteoarthritis before anatomic shoulder replacement. On the basis of radiographic measurements, the cases were evaluated using the Samilson and Prieto grading system, angle β, inclination type, and critical shoulder angle by 2 independent observers. RESULTS: Classification measurements showed an excellent agreement between observers. Our results showed that the humeral-sided Samilson and Prieto grading system had a statistically significant good correlation with angle β (observer 1, r = 0.74; observer 2, r = 0.77; P < .05) and a statistically significant excellent correlation with the inclination type of the glenoid (observer 1, r = 0.86; observer 2, r = 0.8; P < .05). A poor correlation to the critical shoulder angle was observed (r = -0.14, r = 0.03; P > .05). CONCLUSIONS: The grade of humeral-sided osteoarthritis according to Samilson and Prieto correlates with the glenoid-sided osteoarthritic changes of the glenoid in the coronal plane described by the angle β and by the inclination type of the glenoid. Higher glenoid-sided inclination is associated with higher grade of osteoarthritis in primary shoulder osteoarthritis.
BACKGROUND: A variety of measurements can be used to assess radiographic osteoarthritic changes of the shoulder. This study aimed to analyze the correlation between the radiographic humeral-sided Samilson and Prieto classification system and 3 different radiographic classifications describing the changes of the glenoid in the coronal plane. METHODS: The study material included standardized radiographs of 50 patients with idiopathic osteoarthritis before anatomic shoulder replacement. On the basis of radiographic measurements, the cases were evaluated using the Samilson and Prieto grading system, angle β, inclination type, and critical shoulder angle by 2 independent observers. RESULTS: Classification measurements showed an excellent agreement between observers. Our results showed that the humeral-sided Samilson and Prieto grading system had a statistically significant good correlation with angle β (observer 1, r = 0.74; observer 2, r = 0.77; P < .05) and a statistically significant excellent correlation with the inclination type of the glenoid (observer 1, r = 0.86; observer 2, r = 0.8; P < .05). A poor correlation to the critical shoulder angle was observed (r = -0.14, r = 0.03; P > .05). CONCLUSIONS: The grade of humeral-sided osteoarthritis according to Samilson and Prieto correlates with the glenoid-sided osteoarthritic changes of the glenoid in the coronal plane described by the angle β and by the inclination type of the glenoid. Higher glenoid-sided inclination is associated with higher grade of osteoarthritis in primary shoulder osteoarthritis.
Authors: Travis J Dekker; W Jeffrey Grantham; Lucca Lacheta; Brandon T Goldenberg; Rony-Orijit Dey Hazra; Dylan R Rakowski; Grant J Dornan; Marilee P Horan; Peter J Millett Journal: JSES Int Date: 2022-03-18