IADR Abstract Archives

Anatomical Tooth Relationships for Determining Age Using a Semi-Automated Approach

Objectives: This study evaluated the predictive potential of a method for estimating the chronological age of children and adolescents based on measuring the height and width of their mandibular teeth.
Methods: We analysed 650 orthopantomographies of Spanish Caucasians (330 boys, 320 girls) aged 5 to 16, obtained from the School of Medicine and Dentistry of the Universidade de Santiago de Compostela (Galicia, Spain). The heights/widths of teeth numbers 47, 46, 45, 44, 34, 35, 36 and 37 were measured. The variable height/width ratio of tooth 47 had the greatest Spearman correlation with chronological age (rho ≥0.914), and was therefore used to predict chronological age by applying a simple linear regression and evaluating the model obtained using the coefficient of determination (R2). The actual and predicted chronological ages were compared to obtain the error and absolute error values.
Results: The R2 value was good in both models, with the independent variable "R47" explaining 86 and 84% of "chronological age" in the boys and girls, respectively. The height/width ratio of tooth 47 produced a mean and median error of 8.924-17 and -0.029 years for the boys and 5.770-17 and -0.010 years for the girls. The mean and median absolute error was 0.944 and 0.810 years for the boys and 0.971 and 0.892 years for the girls. The 6-9 and 15-16 age groups had the lowest and highest errors, respectively, in both sexes.
Conclusions: The height/width ratio of tooth 47 produced an average error of less than one year when estimating the chronological age of subjects aged up to 16. This degree of optimal precision is comparable to that of other age-estimation procedures for children and adolescents, but has the added value of greater ease when obtaining measurements than approaches like Cameriere's.

2021 Continental European and Scandinavian Divisions Meeting (Brussels, Belgium, Hybrid)
Brussels, Belgium, Hybrid
2021
0247
Diagnostic Sciences
  • Varas-quintana, Paulina  ( Oral Sciences Research Group, Universidade de Santiago de Compostela, FIDIS , Santiago de Compostela , Spain )
  • Aneiros-ardao, Angela  ( Oral Sciences Research Group, Universidade de Santiago de Compostela, FIDIS , Santiago de Compostela , Spain )
  • Vila-blanco, Nicolás  ( Centro Singular de Investigación en Tecnoloxías Intelixentes, Universidade de Santiago de Compostela, FIDIS , Santiago de Compostela , Spain )
  • Balsa-castro, Carlos  ( Oral Sciences Research Group, Universidade de Santiago de Compostela, FIDIS , Santiago de Compostela , Spain )
  • Carreira, Maria José  ( Centro Singular de Investigación en Tecnoloxías Intelixentes, Universidade de Santiago de Compostela, FIDIS , Santiago de Compostela , Spain )
  • Tomás, Inmaculada  ( Oral Sciences Research Group, Universidade de Santiago de Compostela, FIDIS , Santiago de Compostela , Spain )
  • NONE
    The Consellería de Cultura, Educación e Ordenación Universitaria da Xunta de Galicia (Spain) under Grants ED431B 2020/37 and ED431G 2019/04
    Poster Session ALL VIRTUAL
    Diagnostics