Tardivo Delphine, Sastre Julien, Ruquet Michel, Thollon Lionel, Adalian Pascal, Leonetti Georges, Foti Bruno
Unité Mixte de Recherche 6578/CNRS, EFS-Université de la Méditerranée, 51, Boulevard Pierre Dramard 13916 Marseille Cedex 20, France.
J Forensic Sci. 2011 May;56(3):766-70. doi: 10.1111/j.1556-4029.2011.01720.x. Epub 2011 Mar 1.
Canines are usually used in anthropological and forensic sciences for sex and age determination. The best methods to estimate age are based on secondary dentine apposition, evaluated from periapical X-rays. The aim of this study was to propose a new method of sex and age estimation using 3D models to obtain more precise predictions using tooth volumes. Fifty-eight dental CT scans of patients aged 14-74 with a well-balanced sex ratio composed the sample. One hundred and thirty-three healthy canines were modeled (Mimics 12.0). The sample was divided into a training sample and a validation sample. An age formula was determined using the "pulp volume/tooth volume" ratio. Sex prediction was adjusted with total volumes. Applying the equations to the validation sample, no significant difference was found between the real and predicted ages, and 100% of the sex predictions were correct. This preliminary study gives interesting results, and this method is worth being tested on a larger data sample.
犬科动物通常用于人类学和法医学中进行性别和年龄的判定。估计年龄的最佳方法是基于从根尖X线片评估的继发性牙本质沉积。本研究的目的是提出一种利用三维模型进行性别和年龄估计的新方法，通过牙齿体积获得更精确的预测。样本由58例年龄在14 - 74岁、性别比例均衡的患者的牙科CT扫描组成。对133颗健康犬齿进行建模（Mimics 12.0）。样本被分为训练样本和验证样本。使用“牙髓体积/牙齿体积”的比例确定年龄公式。根据总体积调整性别预测。将这些方程应用于验证样本，实际年龄和预测年龄之间未发现显著差异，性别预测的准确率为100%。这项初步研究给出了有趣的结果，这种方法值得在更大的数据样本上进行测试。
