4.2 Article

Age estimation from alveolar bone loss, re-evaluation of Ruquet's method

Journal

Publisher

HUMANA PRESS INC
DOI: 10.1007/s12024-023-00617-2

Keywords

Forensic anthropology; Bioarchaeology; Dental age estimation; Adults; Alveolar bone loss; CT scan

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There are various dental age estimation methods, but they do not meet the needs of forensic practice, which requires simple, effective, and user-friendly methods. Ruquet (2015) proposed an age estimation method based on alveolar bone loss, which is more accurate for individuals aged 25-40. This study re-evaluated Ruquet's method using three-dimensional imaging and found a significant correlation between bone loss and age. However, further refinement is needed to improve the precision of this method.
There are many dental age estimation methods, but all the methods do not correspond, especially for aging methods for adults and mature individuals, to the reality of the forensic field, which favors simple, effective, and easy-to-use methods. Ruquet (2015) developed a method based on alveolar bone loss that predicts age for individuals between 25 and 60 years old and is even more accurate for those 25-40 years old. This study re-evaluated Ruquet's alveolar bone loss method using three-dimensional imaging of individuals whose age and sex were known, without taking into account their medical conditions. Digital measurements, from the cemento-enamel junction (CEJ) to the alveolar bone crest (ABC), were performed on the mesial and distal surfaces of teeth on 243 patients, independent of the tridimensional imaging test. With these measurements, two alveolar bone loss averages (ABL) were calculated, one with all the teeth present on the arches and another with only Ramfjord's teeth. Bone loss showed a significant correlation with age (p < 0.001). The age estimation with all teeth and with only Ramfjord's teeth showed a statistically significant difference, and age estimation was more accurate when all teeth were used. The assessment of alveolar resorption appears to be an interesting tool for age estimation in adult individuals. However, the method still lacks precision, and the mean absolute errors (MAEs) obtained by age group were all greater than 5 years, except for the age group 35-39 years old, for the age estimation with all teeth. Further studies should explore this existing correlation between alveolar bone loss and age and refine this method to make it more accurate.

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