Department of Oral Pathology and Microbiology, KLEVK Institute of Dental Sciences and Hospital, Belgaum 590010, Karnataka, India.
Forensic Sci Int. 2011 Jan 30;204(1-3):209.e1-5. doi: 10.1016/j.forsciint.2010.08.017. Epub 2010 Sep 24.
Age estimation of an individual whether living or dead is an intimidating task in forensic investigations. Since teeth are more resistant to most peri- and post-mortem changes, they are frequently used for identification and age estimation when skeletal remains are in poor condition. However, most methods are destructive and warrant extraction of teeth which is not feasible in living individuals. Cameriere's et al. put forth a radiographic method of age estimation by pulp to tooth area ratio (AR) in canines and revealed a linear regression between age and the AR. In the present study, we estimated the AR in 456 canines (upper, lower and both) in an Indian sample (114 males and 114 females) using radiovisiography technique. Linear regression equations were derived for upper canine, lower canine and both using the AR to estimate chronological age. Additionally, the efficacy of these equations was also evaluated in younger age group (<45 years). The formulas derived, i.e., age=96.795-513.561x(1) (Eq. (1)) for upper canine, age=88.308-458.137x(2) (Eq. (2)) for lower canine and age=99.190-283.537x(1)-306.902x(2)+400.873x(1)x(2) (Eq. (3)) for both the canines were applied to predict the chronological age. The mean value of residuals using these regression equations ranged from 4.28 to 6.39 years with upper canine equation generally giving a precise result. When these equations were applied for younger ages (<45 years), the regression equation derived from both canines gave a better result (mean residual 2.70 years). Overall these equations were better able to predict the age in younger ages, i.e., up to 45 years.
在法医学调查中,对活体或死者进行年龄估计是一项艰巨的任务。由于牙齿对大多数生前和死后的变化更具有抵抗力,因此当骨骼遗骸状况不佳时,它们经常被用于识别和年龄估计。然而,大多数方法都是破坏性的,需要提取牙齿,而这在活体个体中是不可行的。Cameriere 等人提出了一种通过牙髓到牙齿面积比(AR)来估计犬齿年龄的放射照相方法,并揭示了年龄与 AR 之间的线性回归关系。在本研究中,我们使用放射影像学技术对来自印度的 456 颗犬齿(上、下和双侧)进行了 AR 估计(114 名男性和 114 名女性)。使用 AR 来估计年龄,我们推导出了上犬齿、下犬齿和双侧犬齿的线性回归方程。此外,还评估了这些方程在较年轻年龄组(<45 岁)中的有效性。推导的公式为:上犬齿年龄=96.795-513.561x(1)(公式 1),下犬齿年龄=88.308-458.137x(2)(公式 2),双侧犬齿年龄=99.190-283.537x(1)-306.902x(2)+400.873x(1)x(2)(公式 3),用于预测实际年龄。使用这些回归方程计算的残差平均值在 4.28 到 6.39 岁之间,上犬齿方程的结果通常更精确。当将这些方程应用于较年轻的年龄组(<45 岁)时,来自双侧犬齿的回归方程得出了更好的结果(平均残差为 2.70 岁)。总体而言,这些方程能够更好地预测 45 岁以下的年龄。