Calculating glenoid bone loss based on glenoid height using ipsilateral three-dimensional computed tomography

Purpose To investigate the relationship between glenoid width and other morphologic parameters using three-dimensional (3D) computed tomography (CT) images of native shoulders, and to create a new measurement tool to assess glenoid defects in a Canadian population with established anterior shoulder...

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Bibliographic Details
Published in:Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA sports traumatology, arthroscopy : official journal of the ESSKA, 2023, Vol.31 (1), p.169-176
Main Authors: Rayes, Johnny, Xu, Jian, Sparavalo, Sara, Ma, Jie, Jonah, Lauren, Wong, Ivan
Format: Article
Language:English
Subjects:
Adult
Bone Diseases, Metabolic - pathology
Bone loss
Bone tumors
Canada
Computed tomography
Decision making
Female
Fractures
Gender
Height
Humans
Image reconstruction
Imaging, Three-Dimensional - methods
Instability
Joint Instability - diagnostic imaging
Joint Instability - pathology
Joint Instability - surgery
Male
Males
Medicine
Medicine & Public Health
Middle Aged
Orthopedics
Parameters
Regression models
Shoulder
Shoulder Joint - diagnostic imaging
Shoulder Joint - pathology
Shoulder Joint - surgery
Sports Medicine
Stability
Stability analysis
Tomography
Tomography, X-Ray Computed - methods
Tumors
Young Adult
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Summary:Purpose To investigate the relationship between glenoid width and other morphologic parameters using three-dimensional (3D) computed tomography (CT) images of native shoulders, and to create a new measurement tool to assess glenoid defects in a Canadian population with established anterior shoulder instability. Methods Forty-three glenoid CT scans were analyzed for patients who underwent contralateral shoulder glenoid reconstruction for anterior shoulder instability between 2012 and 2020. Demographic data were obtained including age, gender and BMI. The subjects were excluded if they had a prior history of ipsilateral shoulder instability, shoulder fractures, or bone tumors. The following glenoid parameters were measured: width (W), height (H), anteroposterior (AP) depth, superior–inferior (SI) depth and version. The shape of the glenoid was also classified into pear, inverted comma or oval. Results There were 35 male and 8 females with a mean age of 34.5 ± 12.9 years. The glenoid width was strongly correlated with the height ( R 2  = 0.9) and a regression model equation was obtained: W (mm) = 2.5 + 0.7*H (mm). There was also strong correlation with gender ( P  
ISSN:0942-2056
1433-7347
DOI:10.1007/s00167-022-07020-4