Digitilized Radiographic Analysis of Coronal Pulp for Age Estimation in Adults using Tooth Coronal Index Method – A Pilot Study

Author:

Joparti Sailaja,Kiran Madala Jaya,Rao Guttikonda Venkateswara,Sivaranjani Yeluri,Thakur Moni,Pradeepthi Katakam

Abstract

Background: Teeth have become a valuable index to estimate age of an individual in forensic odontology. Although various methods have been reported in forensic literature for age estimation, radiographic methods are simple and require less expertise. Digitalization of panoramic radiographs and intraoral periapical radiographs helps in obtaining the more precise images and accurate measurements. Secondary dentin continuously gets deposited on pulpal surface throughout the life thus reducing the size of the pulp cavity. The Tooth Coronal Index (TCI) method is the indirect assessment of secondary dentin deposition for age estimation. Aim: This study aims to estimate the Tooth Coronal Index of mandibular first molar and its correlation with chronological age to derive a regression equation. Materials and Methods: A total of 50 adults above 20 years of age were selected from the outpatient department of our college. Digital intraoral periapical radiographs were taken by using Radiovisiography (RVG) for mandibular first molar. The crown height and Coronal Pulp Cavity Height were measured and then TCI was calculated. Further the data were subjected to statistical analysis. Results: Statistically significant difference was observed between age and TCI (p<0.05*) and statistically insignificant difference observed between gender and TCI (p>0.05). Conclusion: The Tooth Coronal Index provides more accurate estimation of age and it is a simple, non invasive and cost-effective method that could be easily applied for both living and dead individuals without any highly specialized equipment.

Publisher

Informatics Publishing Limited

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3