通过ROC曲线分析从人类牙维度进行性别预测:一项初步研究
Panjit Chunhabundit1, Tawepong Arayapisit1, Natchalee Srimaneekarn2
1Department of Anatomy, Faculty of Dentistry, Mahidol University, 6 Yothi Road, Ratchathewi, Bangkok, 10400, Thailand.
Scientific reports
|February 24, 2025
概括
法医牙科现在可以用狗牙的宽度来估计性别. 这种基于水平测量和ROC分析的简单方法在调查中提供了更好的实际应用.
科学领域:
- 法医牙科 法医牙科
- 人类学是人类学.
- 牙科形态学 牙科形态学
背景情况:
- 数学牙科方程对于性别估计是准确的,但通常是复杂的.
- 在法医牙科中,需要更容易获得和更实用的方法.
- 完善现有模型可以提高它们在现实场景中的适用性.
研究的目的:
- 开发和评估使用前牙的水平宽度来预测性别的方法.
- 使用接收器操作特征 (ROC) 曲线分析进行准确性评估.
- 确定法医牙科学中性别估计的实际切断点.
主要方法:
- 收集了200个牙成型的前牙的最大水平宽度测量 (100个男性,100个女性).
- 采用ROC曲线分析,尤登指数和欧几里德指数来确定性别估计截止点.
- 在一组独立的100个牙造型 (50个男性,50个女性) 上验证了该方法.
主要成果:
- 只有狗牙显示出性别之间的统计学上显著差异.
- 尾犬的曲线下的面积 (AUC) 值在0.626到0.634之间 (p=0.001).
- mandibular canines 的 AUC 值在 0.724 到 0.727 (p<0.001) 之间,整体准确度在 69% 和 77% 之间.
结论:
- 使用犬的水平宽度和ROC分析进行的性别预测方法证明了合理的准确性.
- 这种精细的方法为法医牙科调查提供了增强的实用实用性.
- 该研究强调了特定的牙科测量对于可访问的性别估计的潜力.
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