Construction of Age Estimation Model of 18-Year-Olds in the Northern Chinese Population Based on the Development of Mandibular Second and Third Molars.
Fa Yi Xue Za Zhi
; 35(3): 289-294, 2019 Jun.
Article
em En, Zh
| MEDLINE
| ID: mdl-31282622
ABSTRACT
ABSTRACT Objective To establish a linear relationship between age and the development process of the mandibular second, third molars in a northern Chinese population and test its accuracy in inferring whether the subject is over 18 years old. Methods The orthopantograms ï¼OPGsï¼ of 960 northern Chinese people aged between 10.00 to 25.99 years were selected. The gender, birth date, and date of the orthopantograms of each sample were recorded. The development stages of left mandibular second and third molars were divided with Demirjian method. The experimental group ï¼760 individualsï¼ constructed a Logistic regression equation to infer whether the subject is over 18 years old. The validation group ï¼200 individualsï¼ tested the accuracy of the equation. Results When only using third molar, the formula obtained for inferring whether the subject's age is over 18 years isï¼ logit P1=-18.276+0.494 x1+2.953 x3. When combining the second and the third molars, the formula isï¼ logit P2=-21.045+3.177 x1+0.619 x2+2.088 x3. ï¼x1 stands for gender, male is marked as 1 and female is marked as 2; x2 and x3 stand for the development stage of second molar and third molar, respectivelyï¼. The accuracy rates of this equation in estimating whether ages of subjects from the validation group were over 18 years old for males and females were 88.0%-92.0% and 85.0%-88.0%, respectively. Conclusion The age estimation formulas based on the development of mandibular second and third molars have important value in judging whether the individual is over 18 years old. Meanwhile, the accuracy of age estimation can be improved by combining the development of second and third molars together.
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MEDLINE
Assunto principal:
Determinação da Idade pelos Dentes
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Dente Serotino
Idioma:
En
/
Zh
Ano de publicação:
2019
Tipo de documento:
Article