Background: The glenoid cavity is a sliced egg-shaped joint surface located on the lateral margin of the scapula to form the shoulder joint. Antero-superior notch affects the morphology of the glenoid cavity. Recognition of variations in shape and dimensions of the glenoid cavity is important for better comprehension of joint-associated diseases, especially in total shoulder arthroplasty procedures. The aim of this study was to perform morphometric measurements on the glenoid cavity through Multi-detector Computed Tomography images. Methods: Glenoid cavities of 391 individuals (197 males (50.4%), 194 females (49.6%)) were reviewed by using Multi-detector Computed Tomography. CT images were examined from January 2014 to April 2016 by scanning files. The average age of men was 60.28 ± 15.43, while the average age of women was 58.82 ± 16.38. The maximum length and maximum width of glenoid cavities, the width, depth and circumference at the notch level were measured, and the index value was calculated. The glenoid cavity shapes were typed as pear, inverted comma and oval type. Furthermore, metric values which provide the best differentiation between genders were found through ROC analysis. Results: The pear GC type was detected by 53.2%, inverted comma type was detected by 28.4%, and oval type was detected by 18.4%. In all of our morphometric measurements, male values were higher than female values, and there was no significant difference between them. Furthermore, significant differences were found for width at the notch level and circumference lengths between the right and left sides; however, there was not any significant difference between maximum length, maximum width, depth and the index (p<0.05). Results of ROC analysis revealed significant measurements for the maximum length and maximum width measurements of the glenoid for gender determination. Conclusions: It was reported in the literature that morphometric information of the glenoid cavity is useful to increase clinical success in case of different pathological conditions such as Bankart lesion, rotator cuff disease, and osteochondral defect. Recognition of different shapes and dimensions of the glenoid cavity is essential for the design of the glenoid component especially for total shoulder arthroplasty procedure. We