The Use of Linear Formulas to Estimate Glenoid Bone Loss in the Lebanese Population: A 3-Dimensional Computed Tomography Study.

Autor:	Bizdikian, Aren Joe, El Rassi, Joe, El-Haddad, Elias, Khadra Eid, Joelle, Roukoz, Sami, El Abiad, Rami, Rayes, Johnny
Předmět:	BONE resorption GLENOHUMERAL joint CROSS-sectional method PEARSON correlation (Statistics) REPEATED measures design THREE-dimensional imaging BODY mass index T-test (Statistics) DATA analysis COMPUTED tomography SEX distribution MULTIPLE regression analysis LEBANESE AGE distribution MANN Whitney U Test RETROSPECTIVE studies STATISTICS MEDICAL records ACQUISITION of data FRIEDMAN test (Statistics) ANALYSIS of variance DIGITAL image processing DATA analysis software COMPARATIVE studies JOINT instability REGRESSION analysis
Zdroj:	Orthopaedic Journal of Sports Medicine; Jun2024, Vol. 12 Issue 6, p1-6, 6p
Abstrakt:	Background: Glenoid bone loss (GBL) is common in patients with shoulder instability and plays a major role in surgical decision-making. While a plethora of GBL estimation methods exist, all of which present specific challenges, recent studies have developed simple linear formulas estimating GBL based on glenoid height. Purpose: To assess the correlation between glenoid height and width, and to develop specific formulas based on age and sex to calculate the native glenoid width in the Lebanese population. Study Design: Cross-sectional study; Level of evidence, 3. Methods: Computed tomography scans for 202 normal shoulders were extracted from our database. The glenoids were reconstructed in 3 dimensions and their width and height were measured. Glenoid width and height were compared between male and female groups. Correlation analysis was also performed on the width, height, age, and body mass index. Formulas estimating glenoid width were developed using regression analysis including all variables significantly influencing the model. Results were then compared with the values calculated using previously published formulas to determine the external validity when using linear formulas to estimate GBL. Results: Significant differences were found between men and women. Regression analysis found that glenoid height and width strongly influenced the model, and that age showed a weak but significant correlation; therefore, the following 2 sex-specific formulas were developed: width (mm) = 6.1 + 0.51 × height + 0.03 × age, and width (mm) = 4.55 + 0.51 × height + 0.03 × age, in men and women, respectively. The values yielded from the formulas developed in this study and the true width significantly differed from those calculated from previous reports. Conclusion: A strong correlation was found between glenoid height and width in a the Lebanese population and demonstrated that glenoid width can be accurately calculated based on the glenoid height and patient's age and sex using the following simplified formulas: width (mm) = 6 + 0.5 × height + 0.03 × age, and width (mm) = 4.5 + 0.5 × height + 0.03 × age, in men and women, respectively. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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