ArticleAnatomy & cell biology2023
Dental characteristics on panoramic radiographs as parameters for non-invasive age estimation: a pilot study.
Article in Anatomy & cell biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The influence of adjacent anatomical context in tooth staging: observational study of non-cropped vs. cropped radiographs for dental age estimation.International journal of legal medicine · 2026Article
- Machine learning approach for adult age estimation using dental characteristics on panoramic radiographs.Scientific reports · 2026Article
- Development and validation of an age estimation model based on dental characteristics using panoramic radiographs.Scientific reports · 2025Article
- Accuracy of the London Atlas and RP Atlas in age estimation of Southern Brazilians.Journal of clinical and experimental dentistry · 2025Review
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4 authors.
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Abstract
The dental characteristics created by acquired dental treatments can be used as age estimators. This pilot study aimed to analyze the correlation between the number of teeth observed for dental characteristics and chronological age and to develop new non-invasive age estimation models. Dental features on panoramic radiographs (420 radiographs of subjects aged 20-89 years) were classified and coded. The correlation between the number of teeth for each selected code (codes V, X, T, F, P, and L) and age was observed, and multiple regression was performed to analyze the relationship between them. Eleven regression models with various combinations of dental sextants were presented. The model with the data from both sides of the posterior teeth on both jaws showed the best performance (root mean square error of 14.78 years and an adjusted R
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