Rathore Akshay, Puri Nidhi, Singh Balwinder, Kaur Kirandeep, Singh Bikramjeet, Singh Shivangi
Department of Oral Medicine and Radiology, I. T. S. Dental College, Ghaziabad, Uttar Pradesh, India.
Department of Oral Medicine and Radiology, SGRD Institute of Dental Sciences and Research, Amritsar, Punjab, India.
Contemp Clin Dent. 2023 Jan-Mar;14(1):11-17. doi: 10.4103/ccd.ccd_508_21. Epub 2022 Nov 3.
Age estimation is integral to science of forensic odontology and plays an important role in human identification. Pulp volume estimation using cone-beam computed tomography (CBCT) to derive age can be very useful as it is noninvasive and can be applied on individuals of all ages.
The study aimed to estimate the chronological age-based pulp and tooth volume (PTV) ratios in adults from Uttar Pradesh, India, using CBCT and voxel counting dental software.
Thirty-six CBCT scans were allocated into three Groups, I, II, and III (12 in each group) randomly to study the pulp volume of lateral incisor, canine, and first premolar, respectively. PTV was calculated by image segmentation method using Xelis Dental software. A correlation between chronological age with PTV was established using derived regression equations.
All the data were subjected to statistical analysis using Statistical Package for Social Sciences version 16.0.
Estimated age and standard error were determined. Standard errors of estimates were 11.24 years (LI), 7.78 years (C), 9.89 years (PM) group, lowest being for canines. The estimated age was compared with the chronological age. The difference between the chronological age and the estimated age by the derived equation for the present study was statistically nonsignificant ( = 1.00).
The results of the study show the feasibility of calculation of PTV ratios on CBCT to estimate the age for the set population with canine as the best predictor of age for the present study population.
年龄估计是法医牙科学的重要组成部分,在身份识别中起着重要作用。使用锥形束计算机断层扫描(CBCT)来估计牙髓体积以推算年龄非常有用,因为它是非侵入性的,并且可应用于所有年龄段的个体。
本研究旨在使用CBCT和体素计数牙科软件,估计印度北方邦成年人基于实际年龄的牙髓与牙齿体积(PTV)比率。
36例CBCT扫描被随机分为I、II和III组(每组12例),分别研究侧切牙、尖牙和第一前磨牙的牙髓体积。使用Xelis Dental软件通过图像分割方法计算PTV。使用推导的回归方程建立实际年龄与PTV之间的相关性。
所有数据均使用社会科学统计软件包第16.0版进行统计分析。
确定了估计年龄和标准误差。估计的标准误差分别为11.24岁(侧切牙)、7.78岁(尖牙)、9.89岁(第一前磨牙)组,尖牙组最低。将估计年龄与实际年龄进行比较。本研究推导方程得出的实际年龄与估计年龄之间的差异无统计学意义(P = 1.00)。
研究结果表明,在CBCT上计算PTV比率以估计特定人群年龄是可行的,对于本研究人群,尖牙是最佳年龄预测指标。