Age estimation with the aid of tooth development: a new method based on objective measurements

1994 ◽  
Vol 102 (3) ◽  
pp. 137-143 ◽  
Author(s):  
Håkan Mörnstad ◽  
Vera Staaf ◽  
Ulf Welander
Keyword(s):  
Age Estimation ◽  
Tooth Development ◽  
New Method ◽  
Objective Measurements

The relationship of maxillary cheek tooth development to age determined by post-mortem radiographic examination of cattle aged between 12 and 24 months

1982 ◽  
Vol 99 (1) ◽  
pp. 105-114
Author(s):  
A. H. Andrews
Keyword(s):  
Age Estimation ◽  
Tooth Development ◽  
Radiographic Examination ◽  
Second Molar ◽  
Maxillary Molar ◽  
Radiographic Inspection ◽  
Molar Teeth ◽  
Relationship Of ◽  
The Relationship

SUMMARYThe development of the maxillary teeth in cattle was studied by recording eruption into the oral cavity and by radiographic examination following bisection of the skull. Observations of second molar intra-oral eruption showed that varying stages were seen at different ages. Radiography of the teeth allowed determination of the degree of crown and tooth development in the permanent premolar and molar teeth as well as stages of temporary premolar tooth resorption. Radiographic inspection showed that in the same animal all the permanent maxillary cheek teeth except the first premolar were less well developed than their mandibular counterparts. It was suggested that the intra-oral eruption of the second maxillary molar and radiography of the maxillary teeth provided a better method of age estimation in cattle than the traditional one of examining the intra-oral eruption of the incisor and canine teeth.

scholarly journals Using Dental Age to Estimate Chronological Age in Czech Children Aged 3–18 Years

2015 ◽  
Vol 116 (2) ◽  
pp. 139-154
Author(s):  
Kristina Ginzelová ◽  
Taťjana Dostálová ◽  
Hana Eliášová ◽  
Alex Vinšů ◽  
Antonín Buček ◽  
...  
Keyword(s):  
Age Estimation ◽  
Statistical Evaluation ◽  
Tooth Development ◽  
Chronological Age ◽  
Age Group ◽  
Dental Age ◽  
Dental Age Estimation ◽  
Mean Values ◽  
The Mean ◽  
Underlying Diseases

The Demirjian methods to determine dental age are based on analysis of orthopantograms. The dental age estimation is based on establishing the tooth development stages. The purpose of this study was to assess the accuracy of estimation of dental age by Demirjian in the use of all of his four methods. 505 Czech healthy boys and girls aged 3 to 18 years were examined radiographically at the Department of Stomatology, Second Faculty of Medicine, Charles University in Prague. It was mentioned the factors of underlying diseases influence the accuracy of the dental age estimation. For statistical evaluation, descriptive statistics was used to compare deviations of the mean values of chronological and dental age in each age group. The resulting difference between dental age and chronological age is not significant in both genders only when using both Demirjian 7-teeth methods of 1973 and 1976. Therefore these may be most appropriately used for forensic age estimation. There are shown standard deviation differences in different countries. Demirjian’s original 7-teeth method from 1973 and Demirjian’s revised 4-teeth method from 1976 appear to be the best methods for calculating the dental age of healthy Czech children of both genders.

scholarly journals Demirjian’s Eight Teeth Method for Dental age Estimation in Nepalese Population

2021 ◽  
Vol 18 (4) ◽  
pp. 686-691
Author(s):  
Nuwadatta Subedi ◽  
Umesh Parajuli ◽  
Ishwari Sharma Paudel ◽  
Mukesh Mallik
Keyword(s):  
Age Estimation ◽  
Developmental Stages ◽  
Tooth Development ◽  
Absolute Error ◽  
Original Method ◽  
Regression Equations ◽  
Dental Age ◽  
Dental Age Estimation ◽  
Maturity Score ◽  
Statistical Program

Background: Demirjian’s method is widely used method for dental age estimation. This study was conducted with objectives of applying Demirjian’s 8 teeth method to estimate age in Nepalese Population and to determine Nepal-specific formulas.Methods: We had used the Orthopantomographs of Nepalese people of age above five and below 23 years. The radiographs were compared to the ‘Tooth Development Chart’ and each tooth studied was assigned with any one of the 10 developmental stages using Demirijian’s 8 teeth method and total maturity scores determined. Formulas were derived using regression analysis, wherein the total maturity score obtained for each individual was considered as the independent variable and the corresponding age as the dependent variable in the STATA 15.1 statistical program. Results: There was underestimation of age in both the sexes by the original method. Regression equations were derived for males and females separately for age five to 18 years and again after adding cases up to 23 years. The estimation was better for males up to 18 years [R2=0.94, Mean Absolute Error (MAE) 0.747 years and SD 0.644] than for females up to 18 years (R2 = 0.89, MAE 0.886 years and SD 0.925). The estimation was better for up to 18 years than for up to 23 years in both sexes.Conclusions: Demirijian’s 8 teeth method underestimated age in the study population and thus population specific equations based on the method are better for dental age estimation. The age estimation utilizing the equations from Nepalese population has given acceptable results.Keywords: Age estimation; demirijian’s method; dental age estimation; forensic age estimation; tooth development chart

scholarly journals Validating dental age estimation in Kenyan black children and adolescents using the Willems method

2020 ◽  
pp. 002580242097737
Author(s):  
Maria Cadenas de Llano-Pérula ◽  
Eunice Kihara ◽  
Patrick Thevissen ◽  
Donna Nyamunga ◽  
Steffen Fieuws ◽  
...  
Keyword(s):  
Age Estimation ◽  
Tooth Development ◽  
Absolute Error ◽  
Black Children ◽  
Specific Model ◽  
Permanent Teeth ◽  
Estimation Model ◽  
One Year ◽  
Willems Method ◽  
Age Prediction

Purpose This study aimed to validate the Willems Belgian Caucasian (Willems BC) age estimation model in a Kenyan sample, to develop and validate a Kenyan-specific (Willems KB) age estimation model and to compare the age prediction performances of both models. Methods Panoramic radiographs of 1038 (523 female, 515 male) Kenyan children without missing permanent teeth and without all permanent teeth fully developed (except third molars) were retrospectively selected. Tooth development of the seven lower-left permanent teeth was staged according to Demirjian et al. The Willems BC model, performed on a Belgian Caucasian sample and a constructed Kenyan-specific model (Willems KB) were validated on the Kenyan sample. Their age prediction performances were quantified and compared using the mean error (ME), mean absolute error (MAE) and root-mean-square error (RMSE). Results The ME with Willems BC method equalled zero. Hence, there was no systematic under- or overestimation of the age. For males and females separately, the ME with Willems BC was significantly different from zero, but negligible in magnitude (–0.04 and 0.04, respectively). Willems KB was found not to outperform Willems BC, since the MAE and RMSE were comparable (0.98 vs 0.97 and 1.31 vs 1.29, respectively). Although Willems BC resulted in a higher percentage of subjects with predicted age within a one-year difference of the true age (63.3% vs 60.4%, p=0.018), this cannot be considered as clinically relevant. Conclusion There is no reason to use a country-specific (Willems KB) model in children from Kenya instead of the original Willems (BC) model.

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