Saraf A, Bedia S, Indurkar A, Degwekar S, Bhowate R
Department of Oral Medicine and Radiology, Bharati Vidyapeeth Deemed University Dental College and Hospital, Kharghar, Navi Mumbai, Maharashtra, India.
J Forensic Odontostomatol. 2011 Jul 1;29(1):14-9.
It is widely acknowledged that in some forensic situations there are limitations to identification of the deceased by fingerprints, DNA and dental records. Palatal rugae pattern of an individual may be considered as a useful adjunct for sex determination for identification purposes. The aim of this study was to identify and compare the rugae pattern in Indian males and females, as an additional method of differentiating the sexes in various postmortem scenarios. Dental stone casts of 120 Indians: 60 males and 60 females were obtained. The method of identification of rugae patterns was that of Thomas and Kotze (1983) and Kapali et al (1997) which includes the number, length, shape and unification of rugae. Our study revealed no significant difference in the total number or various length measurements of rugae between the two sexes which conforms to previous results. However, in terms of the different types of rugae shape, the converging type of rugae were statistically greater in number in females whilst the circular type of rugae were statistically greater in number in males, which contrasts with earlier studies. The use of logistic regression analysis (LRA) enabled highly accurate sex prediction (>99%) when all the rugae shapes were analyzed. It may be concluded that rugae pattern through the use of LRA can be an additional method of differentiation between the Indian male and female and assist with the identification process in conjunction with other methods such as visual, fingerprints and dental characteristics in forensic sciences.
人们普遍认为，在某些法医情况下，通过指纹、DNA和牙科记录来识别死者存在局限性。个体的腭皱襞形态可被视为用于身份识别目的的性别判定的一种有用辅助手段。本研究的目的是识别和比较印度男性和女性的皱襞形态，作为在各种死后场景中区分性别的另一种方法。获取了120名印度人的牙石膏模型：60名男性和60名女性。识别皱襞形态的方法是采用托马斯和科策（1983年）以及卡帕利等人（1997年）的方法，其中包括皱襞的数量、长度、形状和融合情况。我们的研究表明，两性之间皱襞的总数或各种长度测量值没有显著差异，这与先前的结果一致。然而，就不同类型的皱襞形状而言，女性中汇聚型皱襞的数量在统计学上更多，而男性中圆形皱襞的数量在统计学上更多，这与早期研究形成对比。当分析所有皱襞形状时，使用逻辑回归分析（LRA）能够实现高度准确的性别预测（>99%）。可以得出结论，通过使用LRA的皱襞形态可以作为区分印度男性和女性的另一种方法，并在法医学中与其他方法（如外观、指纹和牙齿特征）结合协助身份识别过程。
