Rath Hemamalini, Rath Rachna, Mahapatra Sandeep, Debta Tribikram
Department of Public Health Dentistry, SCB Dental College and Hospital, Cuttack, Odisha, India.
Department of Oral and Maxillofacial Pathology, SCB Dental College and Hospital, Cuttack, Odisha, India.
J Forensic Dent Sci. 2017 Jan-Apr;9(1):45. doi: 10.4103/jfo.jfds_84_15.
The age of an individual can be assessed by a plethora of widely available tooth-based techniques, among which radiological methods prevail. The Demirjian's technique of age assessment based on tooth development stages has been extensively investigated in different populations of the world.
The present study is to assess the applicability of Demirjian's modified 8-teeth technique in age estimation of population of East India (Odisha), utilizing Acharya's Indian-specific cubic functions.
One hundred and six pretreatment orthodontic radiographs of patients in an age group of 7-23 years with representation from both genders were assessed for eight left mandibular teeth and scored as per the Demirjian's 9-stage criteria for teeth development stages. Age was calculated on the basis of Acharya's Indian formula. Statistical analysis was performed to compare the estimated and actual age. All data were analyzed using SPSS 20.0 (SPSS Inc., Chicago, Illinois, USA) and MS Excel Package.
The results revealed that the mean absolute error (MAE) in age estimation of the entire sample was 1.3 years with 50% of the cases having an error rate within ± 1 year. The MAE in males and females (7-16 years) was 1.8 and 1.5, respectively. Likewise, the MAE in males and females (16.1-23 years) was 1.1 and 1.3, respectively.
The low error rate in estimating age justifies the application of this modified technique and Acharya's Indian formulas in the present East Indian population.
个体年龄可通过众多广泛应用的基于牙齿的技术进行评估，其中放射学方法占主导。基于牙齿发育阶段的德米尔坚年龄评估技术已在世界不同人群中得到广泛研究。
本研究旨在利用阿查里亚的印度特定三次函数，评估德米尔坚改良八颗牙齿技术在东印度（奥里萨邦）人群年龄估计中的适用性。
对106张年龄在7至23岁、涵盖男女的正畸治疗前X光片进行评估，观察左下颌八颗牙齿，并根据德米尔坚牙齿发育阶段的九阶段标准进行评分。根据阿查里亚的印度公式计算年龄。进行统计分析以比较估计年龄和实际年龄。所有数据使用SPSS 20.0（美国伊利诺伊州芝加哥市SPSS公司）和MS Excel软件包进行分析。
结果显示，整个样本年龄估计的平均绝对误差（MAE）为1.3岁，50%的病例误差率在±1岁以内。男性和女性（7至16岁）的MAE分别为1.8和1.5。同样，男性和女性（16.1至23岁）的MAE分别为1.1和1.3。
年龄估计中的低误差率证明了这种改良技术和阿查里亚的印度公式在当前东印度人群中的应用合理性。
