Albalawi Anas Salem, Alam Mohammad Khursheed, Vundavalli Sudhakar, Ganji Kiran Kumar, Patil Santosh
Department of Preventive Dentistry, College of Dentistry, Jouf University, Sakaka, Saudi Arabia.
Department of Orthodontic, College of Dentistry, Jouf University, Sakaka, Saudi Arabia.
Contemp Clin Dent. 2019 Jan-Mar;10(1):69-73. doi: 10.4103/ccd.ccd_313_18.
Mandible is considered as one of the stronger bones of skull available for gender identification. Mandibular measurements can be used for the identification of gender either on dry mandible or through panoramic radiography or cone-beam computed tomography (CBCT).
To determine the gender from mandibular measurement using CBCT.
The Morphometric analysis was performed on 200 CBCT scans of the subjects using OnDemand 3D software (Seoul, Korea). Morphometry of mandibular is measured by estimation of the angles formed at different locations on mandible to predict the gender. Statistical analysis was performed; independent samples "-" test was used to compare the mean values between males and females. Discriminant function analysis was used for gender prediction.
The subject's age ranged from 18 to 60 years with an equal number of males and females. The mean angle formed by the intersection of lines from the left and right gonion to menton in males was 129.9 ± 11.9 and it was 126.7 ± 12.6 in females. The mean linear distances from the right gonion to menton in both males and females were 86.8 ± 5.3 and 82.6 ± 6.2, respectively. The mean linear distances from the left gonion to menton were 49.5 ± 5.1 in males and 47.7 ± 3.9 in females. The mean linear distance from the right gonion to left gonion was 47.7 ± 4.4 in males and 46.6 ± 4.2 in females. The Box's M statistics was applied to verify the applicability of mandibular measurements in gender prediction. The values indicate that gender can be predicted using these four variables, which is statistically significant ( = 0.000). The overall prediction accuracy of this model was 67%, with 66.7% in males and 67.3% in females being correctly classified.
The angle formed by the intersection of lines from the left and right gonion to menton (Gn-M0) helps provide anthropological data, which can be used in dental and medicolegal practices.
下颌骨被认为是颅骨中较强壮的骨骼之一，可用于性别鉴定。下颌骨测量可用于在干燥下颌骨上或通过全景放射摄影或锥形束计算机断层扫描（CBCT）来鉴定性别。
通过CBCT下颌骨测量来确定性别。
使用OnDemand 3D软件（韩国首尔）对200名受试者的CBCT扫描图像进行形态计量分析。通过估计下颌骨不同位置形成的角度来测量下颌骨形态，以预测性别。进行了统计分析；使用独立样本“-”检验比较男性和女性的平均值。判别函数分析用于性别预测。
受试者年龄在18至60岁之间，男性和女性数量相等。男性中从左右下颌角到颏点连线相交形成的平均角度为129.9±11.9，女性为126.7±12.6。男性和女性从右下颌角到颏点的平均直线距离分别为86.8±5.3和82.6±6.2。男性从左下颌角到颏点的平均直线距离为49.5±5.1，女性为47.7±3.9。男性从右下颌角到左下颌角的平均直线距离为47.7±4.4，女性为46.6±4.2。应用Box's M统计量来验证下颌骨测量在性别预测中的适用性。这些值表明可以使用这四个变量预测性别，具有统计学意义（=0.000）。该模型的总体预测准确率为67%，男性正确分类率为66.7%，女性为67.3%。
从左右下颌角到颏点连线相交形成的角度（Gn-M0）有助于提供人类学数据，可用于牙科和法医学实践。
