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

  • SHOULDER
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Knee Surgery, Sports Traumatology, Arthroscopy Aims and scope

A Correction to this article was published on 06 July 2022

This article has been updated

Abstract

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 (R2 = 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 < 0.001), glenoid shape (P = 0.030), AP and SI depths (P = 0.006 and P < 0.001, respectively). Male gender was associated with higher measurement values for all parameters. The most common glenoid shapes were the pear (46.5%) and oval morphotypes (39.6%) for the whole study group.

Conclusion

The native glenoid width can be estimated based on glenoid height using ipsilateral 3D CT. This may help with preoperative planning and surgical decision-making for patients with anterior shoulder instability and glenoid bone loss.

Level of evidence

III.

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Funding

This study did not receive funding.

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Authors and Affiliations

  1. Division of Orthopaedic Surgery, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada

    Johnny Rayes, Jian Xu, Sara Sparavalo, Jie Ma, Lauren Jonah & Ivan Wong

  2. 5955 Veteran’s Memorial Lane, Room 2106 VMB, Halifax, NS, B3H 2E1, Canada

    Ivan Wong

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  1. Johnny Rayes
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  2. Jian Xu
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  3. Sara Sparavalo
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  4. Jie Ma
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  5. Lauren Jonah
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  6. Ivan Wong
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Contributions

JR: development of research project, literature review, data collection, and manuscript write-up; JX: development of research project, and data collection; SS: research ethics approval, data collection, and manuscript revision and review; JM: data management and analysis, and manuscript revision and review; LJ: data management and analysis, and manuscript revision and review; IW: development of research question, and manuscript revision and review.

Corresponding author

Correspondence to Ivan Wong.

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The authors declares that they have no conflict of interest.

Ethical approval

This study has been approved by Nova Scotia Health Research Ethics Board.

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The original online version of this article was revised: Figures incorrectly published now corrected.

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Rayes, J., Xu, J., Sparavalo, S. et al. Calculating glenoid bone loss based on glenoid height using ipsilateral three-dimensional computed tomography. Knee Surg Sports Traumatol Arthrosc 31, 169–176 (2023). https://doi.org/10.1007/s00167-022-07020-4

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  • DOI: https://doi.org/10.1007/s00167-022-07020-4

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