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VOLUME 22 , ISSUE 8 ( August, 2021 ) > List of Articles

ORIGINAL RESEARCH

A Digital Radiographic Study of Age Estimation Using Area-specific Formula in Odisha Population

Shyam S Behura, Roquaiya Nishat, Shirsha Mukherjee, Vijay Kumar, Sushmita Swain, Malvika Raghuvanshi

Keywords : Age estimation, Mandibular canine, Mandibular premolars, Odisha population, Pulp/tooth area ratio

Citation Information : Behura SS, Nishat R, Mukherjee S, Kumar V, Swain S, Raghuvanshi M. A Digital Radiographic Study of Age Estimation Using Area-specific Formula in Odisha Population. J Contemp Dent Pract 2021; 22 (8):928-932.

DOI: 10.5005/jp-journals-10024-3165

License: CC BY-NC 4.0

Published Online: 09-11-2021

Copyright Statement:  Copyright © 2021; Jaypee Brothers Medical Publishers (P) Ltd.


Abstract

Aim: The aim of the article was to evaluate the feasibility of pulp/tooth area ratio in three mandibular teeth, namely left canine, left first premolar, and left second premolar (33, 34, and 35), as an indicator of age using digital panoramic radiograph and Kvaal\'s parameters. The study also aimed at computing an area-specific formula for age estimation in Odisha population. Materials and methods: Observation and analysis of 50 digital orthopantomographs (OPGs) and clinical data of patients were made. These images were saved as high-resolution JPEG files. Using the Adobe Photoshop CS3 (extended) image editing software program (Adobe Systems Inc, San Jose, California, United States), the pulp/tooth area ratio of 33, 34, and 35 was analyzed. These ratios were substituted in Odisha population-specific formula, derived using principal component regression analysis. Results: The mean chronological age was 33.24 years. Principal component regression analysis was used to derive multiple regression formulae for individual teeth as well as a combined formula. R2 (coefficient of determination) for combined three mandibular teeth was highest (0.7769) with a standard error of 4.5969 years and thus was a better predictor of age in the population of Odisha. In terms of an individual tooth, comparison between chronological and predicted age revealed that left second mandibular premolar (35) had highest correlation to actual age. Karl Pearson\'s correlation coefficient showed correlation between age and the mean of ratios from combined three mandibular teeth was stronger than that of single tooth. Conclusion: In the present study, second left mandibular premolar showed highest correlation to actual age when used alone. The use of three teeth in combination increased the correlation. This Odisha-specific formula showed promising results and can be used for forensic applications in this population. Clinical significance: Using three different teeth for age estimation proved to be a better predictor of age in the Odisha population. Moreover, the obtained formula can act as a standard and be used for anthropological or forensic investigations in the said population.


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