Development and validation of an age estimation model based on dental characteristics using panoramic radiographs.

ABSTRACT: Dental characteristics have considerable potential as indicators for estimating chronological age. This study developed a regression model for age estimation using dental characteristics observed in panoramic radiographs. A total of 2,391 radiographs from individuals aged 20 to 89 years were analyzed, with a focus on five treatment-induced characteristics. Analyses revealed statistically significant correlations between all observed characteristics and chronological age, supporting the potential of dental characteristics as novel age indicators. A model incorporating only posterior teeth from both jaws achieved an adjusted R-squared value of 0.564 and a root mean square error (RMSE) of 13.144 years, closely comparable to the full-dentition model, which had values of 0.558 and 13.235 years,

SUBMITTER: Oh S 

PROVIDER: S-EPMC12508182 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature