Interobserver and intraobserver comparison of imaging glenoid morphology, glenoid version and humeral head subluxation

Cagle, P. J., Werner, B., Shukla, D. R., London, D., Parsons, B. O. and Millar, N. L. (2019) Interobserver and intraobserver comparison of imaging glenoid morphology, glenoid version and humeral head subluxation. Shoulder and Elbow, 11(3), pp. 204-209. (doi: 10.1177/1758573218768507) (PMID:31210792)

Full text not currently available from Enlighten.

Abstract

Background: Glenoid morphology, glenoid version and humeral head subluxation represent important parameters for the treating physician. The most common method of assessing glenoid morphology is the Walch classification which has only been validated with computed tomography (CT). Methods: CT images and magnetic resonance imaging (MRI) images of 25 patients were de-identified and randomized. Three reviewers assessed the images for each parameter twice. The Walch classification was assessed with a weighted kappa value. Glenoid version and humeral head subluxation were comparted with a reproducibility coefficient. Results: The Walch classification demonstrated almost perfect intraobserver agreement for MRI and CT images (k = 0.87). Weighted interobserver agreement values for the Walch classification were fair for CT and MRI (k = 0.34). The weighted reproducibility coefficient for glenoid version measured 9.13 (CI 7.16–12.60) degrees for CT and 13.44 (CI 10.54–18.55) degrees for MRI images. The weighted reproducibility coefficient for percentage of humeral head subluxation was 17.43% (CI 13.67–24.06) for CT and 18.49% (CI 14.5–25.52) for MRI images. Discussion: CT and MRI images demonstrated similar efficacy in classifying glenoid morphology, measuring glenoid version and measuring posterior humeral head subluxation. MRI can be used as an alternative to CT for measuring these parameters. Keywords Glenoid morphology, glenoid version, Walch classification, humeral head subluxation

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Millar, Professor Neal
Authors: Cagle, P. J., Werner, B., Shukla, D. R., London, D., Parsons, B. O., and Millar, N. L.
College/School:College of Medical Veterinary and Life Sciences > School of Infection & Immunity
Research Centre:College of Medical Veterinary and Life Sciences > School of Infection & Immunity > Centre for Immunobiology
Journal Name:Shoulder and Elbow
Publisher:SAGE Publications
ISSN:1758-5732
ISSN (Online):1758-5740
Published Online:26 April 2018

University Staff: Request a correction | Enlighten Editors: Update this record