Gender Determination of Scapula by Computed Tomography Scan Measurement

Author:

Hamzehtofigh Mahdi1,Mokhtari Razieh2,Seif Fatemeh3,Bayat Parvindokht4

Affiliation:

1. Department of Nursing, Students Research Committee, Arak University of Medical Sciences, Arak, Iran

2. Department of Nursing, Faculty of Nursing, Arak University of Medical Sciences, Arak, Iran

3. Department of Medical Physics and Radiotherapy, Arak University of Medical Sciences and Khansari Hospital, Arak, Iran

4. Department of Anatomy, Faculty of Medicine, Arak University of Medical Sciences, Arak, Iran

Abstract

Abstract Introduction: Gender is the most vital segment of the biological characteristics which can be evaluated from the skeleton because of the marked sexual dimorphism of bone segments. The aim of this study is to evaluate the effect of gender on the scapula measure for healthy sedentary subjects. The parameters used in the present study were different from the previous research. Hence, the current work was designed to measure gender differences of the scapula in the Iranian population. The aim of this study is to evaluate the effect of gender on the scapula measure for healthy sedentary subjects. The design of this research has been done with the coordination and activity of all authors to examine the effect of gender in scapula characters. Material and Methods: This study was performed on scapula computed tomography in 68 patients. These characters in this bone: acromion glenoid distance, length of the acromion, width of acromion, acromion coracoid distance, length of scapula, width of scapula, length of coracoid (LC), length of glenoid (LG), and width of glenoid. With the help of the SPSS software, the logistical regression equation was derived from the stepwise method. By multiplying the value of each dimension with its corresponding coefficient (β coefficient) and adding the products together along with the appropriate constant, the sex of a specimen can be determined. For the regression equation incorporating all for scapular dimensions, the logistic regression score (Y) is calculated as follows: Y = (−0.003× Width of scapula (WS)) + (0.006 × LC) + (−0.14 × height of glenoid [HG]) + 2.098. Results: This study shows the scapular bone characteristic comparison between the two sexes, which statistically significant difference in the width of the bone scapula (P = 0.02) and the coracoid length (P = 0.04) and LG (P = 0.01). In males, significant positive correlation was found between Height of scapula (HS), and height of glenoid (HG) (0.884 ) and in females, significant positive correlation was maximum the relationship between the HS and LC (0.904**). Discussion and Conclusion: Due to the small number of our samples, it would be better to study more widely so that other differences such as the length of the scapula and the glenoid width can be achieved, and more confidently, that these two attributes do not play a role in determining the sex.

Publisher

Medknow

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