Digital Panoramic Radiographs for Age Prediction Utilizing the Tooth Coronal Index of First Mandibular Bicuspids Among the South Indian Population

IntroductionAge estimation holds significant importance within the realm of forensic science, serving as a crucial tool for various purposes such as validating birth certificates, aiding immigration processes, and determining eligibility for retirement benefits. Additionally, age estimation carries...

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Bibliographic Details
Published in:Curēus (Palo Alto, CA) CA), 2023-09, Vol.15 (9), p.e45870-e45870
Main Authors: Ahmed Khan, Hooriyah Laiq, Murthykumar, Karthikeyan, Sekaran, Saravanan, Ganapathy, Dhanraj
Format: Article
Language:English
Subjects:
Age groups
Dental enamel
Dentin
Dentistry
Females
Forensic odontology
Males
Odontology
Teeth
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Summary:IntroductionAge estimation holds significant importance within the realm of forensic science, serving as a crucial tool for various purposes such as validating birth certificates, aiding immigration processes, and determining eligibility for retirement benefits. Additionally, age estimation carries significant implications in situations involving human trafficking, offering insights into matters such as legal culpability, adult classification, and marriage age assessment.AimThe purpose of this research was to assess the precision of the Tooth Coronal Index (TCI) in the estimation of age, a key component of forensic odontology.Materials and methodsThe research employed a retrospective approach, analyzing 700 digital panoramic radiographs of the mandibular first bicuspids. The study population was categorized into five age groups viz. 20-30, 31-40, 41-50, 51-60, and above 61 years respectively. Statistical methods were applied to investigate the relation between TCI and age. Additionally, one-way ANOVA was utilized to compare the groups.ResultsFindings revealed that males aged between 20-30 years exhibited underestimation, while males above 60 years displayed overestimation. Among females, the smallest disparity between existent and calculated age was observed in the 31-40 age group. Notably, ANOVA analysis for females indicated highly significant differences between the calculated and actual ages across all age segments (P
ISSN:2168-8184
2168-8184
DOI:10.7759/cureus.45870