Critical shoulder angle combined with age predict five shoulder pathologies: a retrospective analysis of 1000 cases

BMC Musculoskeletal Disorders

Research Article

Fritz Lomoschitz¹  Philipp Moroder²  Leo Pauzenberger³  Philipp R. Heuberer⁴  Brenda Laky⁴  Werner Anderl⁴  Lukas Willinger⁵  Fabian Plachel⁶ 

[1] Department of Radiology at the St. Vincent Hospital Vienna, Vienna, Austria;Department of Traumatology and Sports Injuries of the Paracelsus Medical University Salzburg, Salzburg, Austria;St. Vincent Shoulder and Sports Clinic Vienna, Baumgasse 20A, 1030, Vienna, Austria;St. Vincent Shoulder and Sports Clinic Vienna, Baumgasse 20A, 1030, Vienna, Austria;Austrian Research group for Regenerative and Orthopedic Medicine (AURROM), Vienna, Austria;St. Vincent Shoulder and Sports Clinic Vienna, Baumgasse 20A, 1030, Vienna, Austria;Department of Orthopaedic Sports Medicine, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany;St. Vincent Shoulder and Sports Clinic Vienna, Baumgasse 20A, 1030, Vienna, Austria;Department of Traumatology and Sports Injuries of the Paracelsus Medical University Salzburg, Salzburg, Austria;

关键词: Critical shoulder angle;    Cuff tear arthropathy;    Glenohumeral osteoarthritis;    Rotator cuff tear;    Impingement;   

DOI  :  10.1186/s12891-017-1559-4

 received in 2017-02-15, accepted in 2017-05-06,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundAcromial morphology has previously been defined as a risk factor for some shoulder pathologies. Yet, study results are inconclusive and not all major shoulder diseases have been sufficiently investigated. Thus, the aim of the present study was to analyze predictive value of three radiological parameters including the critical shoulder angle, acromion index, and lateral acromion angle in relationship to symptomatic patients with either cuff tear arthropathy, glenohumeral osteoarthritis, rotator cuff tear, impingement, and tendinitis calcarea.MethodsA total of 1000 patients’ standardized true-anteroposterior radiographs were retrospectively assessed. Receiver-operating curve analyses and multinomial logistic regression were used to examine the association between shoulder pathologies and acromion morphology. The prediction model was derived from a development cohort and applied to a validation cohort. Prediction model’s performance was statistically evaluated.ResultsThe majority of radiological measurements were significantly different between shoulder pathologies, but the critical shoulder angle was an overall better parameter to predict and distinguish between the different pathologies than the acromion index or lateral acromion angle. Typical critical shoulder angle-age patterns for the different shoulder pathologies could be detected. Patients diagnosed with rotator cuff tears had the highest, whereas patients with osteoarthritis had the lowest critical shoulder angle. The youngest patients were in the tendinitis calcarea and the oldest in the cuff tear arthropathy group.ConclusionsThe present study showed that critical shoulder angle and age, two easily assessable variables, adequately predict different shoulder pathologies in patients with shoulder complaints.

【 授权许可】

CC BY   
© The Author(s). 2017