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    Determination of Gender By Machine Learning Algorithms, Through Using Craniocervical Junction Parameters and Dimensions of the Cervical Spinal Canal
    (2023) ŞENOL, Gamze TAŞKIN; KÜRTÜL, İbrahim; RAY, Abdullah; AHMETOĞLU, Gülçin; SEÇGİN, Yusuf; ÖNER, Zülal
    Gender determination is the first step for biological identification. With the widespread use of machine learning algorithms (MLA) for diagnosis, the significance of applying them also in gender determination studies has become apparent. This study has therefore aimed at determining gender from the parameters obtained out of magnetic resonance images (MRI) of the cranio-cervical junction and cervical-spinal canal by using MLA. MRI of the craniocervical junction and cervical-spinal canal of 110 men and 110 women were included in this study. The 15 parameters were tested with Decision Tree (DT), Random Forest (RF), Logistic Regression (LR), Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) algorithms. Accuracy (Acc), Specificity (Spe), Sensitivity (Sen), F1 score (F1), Matthews-correlation coefficient (Mcc) values were used as performance criteria. The Acc, Spe, Sen, F1, and Mcc were found to be 1.00 in the LR, LDA, QDA and RF algorithms. The ratios of the Acc, Spe, Sen, and F1 were 0.98, and of the Mcc was 0.96 in the DT algorithm. It was found that the ratio between the SHAP analyzer of the RF algorithm and the belt of the ratio between the arch of the atlas and the anterior-posterior distance of the dens (R3) parameter had a higher contribution to the estimation of gender compared to other parameters. It was concluded that the LDA, QDA, LR, DT and RF algorithms applied to the parameters acquired from the MRI of the craniocervical junction and cervical-spinal canal, could determine the gender with very high accuracy.
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    EVALUATION OF THE SACRAL AND COCCYGEAL CURVATURES CALCULATED VIA COMPUTED TOMOGRAPHY IMAGES BASED ON GENDER
    (2023) nahir, mert; ÖNER, Zülal; ÖZGEN, Merve Nur; ÖNER, Serkan
    Objective: The skeletal structure has a significant role in the estimation of human gender. The os sacrum and os coccyx bones that constitute the pelvic skeleton are important in sex estimation due to their functional differences based on sex. In the present study, we aimed to determine the differences in os sacral and os coccygeal curvatures calculated with orthogonal plane computed tomography images based on gender. Methods: Computed tomography images of 150 healthy individuals (75 females, 75 males) between the ages of 25-50 were used in the study. The computed tomography images were edited into a suitable format by the Horos software for measurement. Six sacral and coccygeal measurements, lumbosacral angle (LSA), sacral curvature (SC), sacral kyphosis (SK), sacrococcygeal angle (SCA), sacrococcygeal joint angle (SCJA), and coccygeal curvature (CC) were conducted on the sagittal image. Results: The measurement results indicated that LSA and SCA values were higher in male subjects when compared to females, and SCJA values were higher in females when compared to males (p?0.05). Quadratic Discriminant Analysis (QDA) results indicated that these parameters were 93.3% effective in estimating male gender, 85.3% effective in estimating female gender, with an overall estimation rate of 89.3%. Conclusion: According to these results, it was concluded that the lumbosacral and sacrococcygeal joints appear flatter in men than in women. SC, SK and CC parameters did not show sexual dimorphism. Considering all the parameters we used, we achieved a high rate of gender discrimination.