Riaz Samiya, Atif Saira, Syed Sadia, Rafi Chaudhry Asma, Zahid Erum
Department of Fundamental Dental and Medical Sciences, Kulliyyah of Dentistry, International Islamic University Malaysia, Kuantan, Malaysia.
Department of Oral Biology, CMH Lahore Medical College & Institute of Dentistry, Lahore, Pakistan.
J Taibah Univ Med Sci. 2024 Sep 20;19(5):974-980. doi: 10.1016/j.jtumed.2024.09.002. eCollection 2024 Oct.
Researchers have examined several dental characteristics to identify differences in tooth morphology between males and females in various populations. Nevertheless, no research has been undertaken to ascertain sexual dimorphism and develop a sex prediction model by using the groove pattern, cusp number and occlusal pattern in any population group. Therefore, this study accessed the sexual differences and the ability to predict sex according to these characteristics of maxillary teeth in the Pakistani community.
A total of 130 dental casts were selected (65 each from males and females). Digital images of the occlusal surface of the maxillary first premolar, second premolar and first molar were captured with a Canon Powershot A2200 14.1 MP digital camera with 4× optical zoom. Cusp number, groove pattern and occlusal pattern were recorded for each tooth type. Data were analysed with chi-square tests and logistic regression analysis.
The groove pattern and occlusal pattern of the maxillary first premolar and first molar showed significant sexual dimorphism ( < 0.05). The cusp number of the maxillary first molar also displayed a statistically significant difference between males and females ( < 0.05). The sex prediction accuracy was 76.7% for the training samples and 70% for the test samples.
We observed significant sexual dimorphism in the groove pattern and the occlusal pattern of the maxillary first premolar and maxillary first molar teeth, as well as the cusp number of the maxillary first molar teeth. The prediction model demonstrated good accuracy, at 76.7%, and hence can be used for sex prediction in the Pakistani population.
研究人员已研究了多种牙齿特征，以确定不同人群中男性和女性牙齿形态的差异。然而，尚未开展任何研究来确定两性差异，并通过使用任何人群组中的沟纹模式、尖牙数量和咬合模式来开发性别预测模型。因此，本研究探讨了巴基斯坦社区中根据上颌牙齿的这些特征存在的性别差异以及预测性别的能力。
共选取了130个牙模（男性和女性各65个）。使用具有4倍光学变焦的佳能PowerShot A2200 1410万像素数码相机拍摄上颌第一前磨牙、第二前磨牙和第一磨牙咬合面的数字图像。记录每种牙齿类型的尖牙数量、沟纹模式和咬合模式。数据采用卡方检验和逻辑回归分析。
上颌第一前磨牙和第一磨牙的沟纹模式和咬合模式显示出显著的两性差异（P<0.05）。上颌第一磨牙的尖牙数量在男性和女性之间也显示出统计学上的显著差异（P<0.05）。训练样本的性别预测准确率为76.7%，测试样本的准确率为70%。
我们观察到上颌第一前磨牙和上颌第一磨牙的沟纹模式、咬合模式以及上颌第一磨牙的尖牙数量存在显著的两性差异。该预测模型显示出良好的准确率，为76.7%，因此可用于巴基斯坦人群的性别预测。
