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KMID : 1237720230560040474
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Anatomy & Cell Biology
2023 Volume.56 No. 4 p.474 ~ p.481
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Dental characteristics on panoramic radiographs as parameters for non-invasive age estimation: a pilot study
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Cheong Ha-Rin
Akiko Kumagai
Oh Se-Hyun
Lee Sang-Seob
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Abstract
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The dental characteristics created by acquired dental treatments can be used as age estimators. This pilot studyaimed to analyze the correlation between the number of teeth observed for dental characteristics and chronological age andto develop new non-invasive age estimation models. Dental features on panoramic radiographs (420 radiographs of subjectsaged 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. Elevenregression models with various combinations of dental sextants were presented. The model with the data from both sides ofthe posterior teeth on both jaws showed the best performance (root mean square error of 14.78 years and an adjusted R2 of0.461). The model with all teeth was the second-best. Based on these results, we confirmed statistically significant correlationsbetween certain dental features and chronological age. We also observed that some regression models performed sufficientlywell to be used as adjunctive methods in forensic practice. These results provide valuable information for the design andperformance of future full-scale studies.
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KEYWORD
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Age determination by teeth, Dental characteristics, Non-invasive, Panoramic radiography
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