Excellent side-to-side symmetry in glenoid size and shape
Publication in refereed journal


Times Cited
Altmetrics Information
.

Other information
AbstractObjective: In quantifying glenoid bone loss and as a means to determine initial glenoid size, the abnormal glenoid is often compared with the contralateral normal glenoid. The assumption is that good symmetry exists between both glenoid surfaces with regard to size and shape. The purpose of this study is to critically analyze the structural symmetry of both glenoids in an objective and quantitative manner to ascertain the degree of symmetry present. Materials and methods: The study cohort comprised 60 subjects (35 males and 25 females) with no shoulder pathology or injury. Each glenoid surface was extracted from the whole scapular model constructed from CT data using a 3D curvature-based incremental watershed algorithm. Glenoid morphometric analysis was carried out based on the 2D contour of the glenoid projected on the principal plane. Results: There was no side-to-side difference in glenoid length (p = 0.53), width (p = 0.42), area (p = 0.36), or circumference (p = 0.73). All glenoid dimensions were larger in males than females (p < 0.05). Point-wise curvature analysis showed no significant shape difference between both glenoids (all p > 0.1). Regression analysis revealed a positive correlation (R 2 = 0.3-0.5) between increasing age and increasing glenoid size. Conclusions: In normal subjects, both glenoids are highly symmetric in shape and size. This study provides objective and quantitative justification for using the normal counterlateral glenoid as a reference standard for initial glenoid shape in patients with unilateral glenoid bone loss. © 2013 ISS.
All Author(s) ListShi L., Griffith J.F., Huang J., Wang D.
Journal nameSkeletal Radiology
Year2013
Month12
Day1
Volume Number42
Issue Number12
PublisherSpringer Verlag
Place of PublicationGermany
Pages1711 - 1715
ISSN0364-2348
eISSN1432-2161
LanguagesEnglish-United Kingdom
KeywordsComputed tomography, Glenoid, Morphological analysis, Shoulder dislocation, Watershed algorithm

Last updated on 2020-20-10 at 03:24