The usefulness of Belgian formulae in third molar-based age assessment of Indians

Bhowmik, Biyas; Acharya, Ashith B.; Naikmasur, Venkatesh G

doi:10.1016/j.forsciint.2013.01.022

Cited by 8 publications

(2 citation statements)

References 23 publications

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“…Estimating the age of living subjects often requires an integrative approach that involves anthropology, medicine, forensic dentistry and radiology [2][3][4][5][6][7][8][9]. Human identification and aging using dentition has been well established in the forensic field and several methods based on dental changes have been developed [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Third molar maturity index by measurements of open apices in a Libyan sample of living subjects

Dardouri

Cameriere

Luca

et al. 2016

Forensic Science International

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In most countries, forensic age estimation in living subjects has become increasingly important in the last few years. In addition, as the age of legal majority ranges from 14 to 18 in many countries, and in Libya it is 18 years, radiographic assessment of the degree of third molar development is essential for forensic age estimation of adolescents and young adults. The aim of this paper is to assess the accuracy of the cut-off value of 0.08, by measurements of third molar index (I), in determining if a subject is adult or not in Libyan population. Digital panoramic radiographs of 307 healthy subjects (163 girls, 144 boys), aged between 14 and 22, were analysed. The I the age and the sex of the subjects were used as predictive variable for age estimation. Using a cut-off of 0.08, the sensitivity of the test for boys was 90.9% and the specificity 100%. The proportion of correctly classified individuals was 95.1% (95% CI: 91.5-98.7%). The sensitivity for girls was 90.6% and the specificity 100%. The proportion of correctly classified individuals was 94.5% (95% CI: 90.9-98.1%). Estimated post-test probability in boys and girls was 100%. Further analyses, performed using a cut-off of 0.09, do not affect the specificity (100%) while they improve the sensitivity for both boys and girls.

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Section: Introductionmentioning

confidence: 99%

Third molar maturity index by measurements of open apices in a Libyan sample of living subjects

Dardouri

Cameriere

Luca

et al. 2016

Forensic Science International

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“…Using a distinct statistical analysis, the authors found a correct allocation rate of 78% of minors. Their conclusion highlighted the applicability of the method to estimate the age of Indians but also emphasized the restricted applicability of the formula to distinguish minors and adults ( 26 ). In this context, the present study converges to support the applicability of the method when estimating the age is a requirement.…”

Section: Discussionmentioning

confidence: 99%

Testing international techniques for the radiographic assessment of third molar maturation

Sartori¹,

Franco²,

Linden³

et al. 2021

J Clin Exp Dent

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Background To assess the radiographic third molar maturation with internationally developed techniques for age estimation. Material and Methods The study analyzed 1,062 panoramic radiographs of patients treated at the School of Dentistry of the University of Passo Fundo/RS/Brazil, between 2009 and 2020. The patients were separated into ages between 15.00 and 23.99 years and, for each radiograph, the third molars were classified into stages from 1 to 10, with the subsequent application of one of the formulae proposed by Gunst et al. A dichotomous variable indicating whether each individual was younger or older than 18 was calculated from the chronological age of the individuals. A logistic regression model was adjusted to assess whether the third molar stages are correlated with the age of individuals. Results The error indicators between estimated and chronological ages showed that mean errors closer to zero are seen in the 18-18.9 and 17-17.9 age groups, respectively. Male individuals were earlier in terms of dental mineralization but there were no significant differences between sexes regarding the applicability of the method. The ROC curve shows that the analysis of a single third molar for age estimation gives a maximum of 70.4% reliability. Conclusions The moderate performance of the technique tested in the present study justify future country-specific corrections to improve age estimation from the radiographic assessment of third molar maturity. Key words: Dental age estimation, forensic dentistry, radiology, third molar.

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Forensic Odontology

Edgar¹,

Rautman²

2015

A Companion to Dental Anthropology

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The usefulness of Belgian formulae in third molar-based age assessment of Indians

Cited by 8 publications

References 23 publications

Third molar maturity index by measurements of open apices in a Libyan sample of living subjects

Third molar maturity index by measurements of open apices in a Libyan sample of living subjects

Testing international techniques for the radiographic assessment of third molar maturation

Forensic Odontology

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