Background: Dental age estimation is one of the most reliable methods for determining age, commonly used for forensic, criminal, and anthropological purposes. The purpose of this study was to assess and compare the precision of the Bedek models and the Cameriere-European Formula (CF) in determinating dental age in a sample of Turkish individuals.
Methods: Retrospective panoramic radiographs of 1018 subjects (497 boys and 521 girls) aged 5-14 years were evaluated using the Bedek models and the CF. The differences between calculated dental age (DA) and chronological age (CA) for each sex and age group were analyzed using the paired sample t-test and the Wilcoxon signed-rank test. The accuracy of the methods used to estimate dental age was determined by calculating the mean absolute error (MAE) based on the proximity of the dental age to the chronological age.
Results: The CF method overestimated CA by 0.1 year in the entire sample. Conversely, the Bedek models tended to overestimate CA, with the three-, four-, and seven-tooth models exhibiting the most significant difference. There was a statistically significant difference between boys and girls in the DA-CA calculation using the CF method in the entire sample. Among the Bedek models, the three- and four-tooth models had the lowest MAE in the entire sample, while the single-tooth model had the highest MAE.
Conclusion: The CF method showed higher accuracy in predicting the age of children living in eastern Turkey compared to the Bedek Models.
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http://dx.doi.org/10.1186/s12903-024-05166-w | DOI Listing |
BMC Oral Health
November 2024
Department of Pediatric Dentistry, Faculty of Dentistry, Inonu University, Malatya, Turkey.
Sci Data
June 2024
Ruđer Bošković Institute, 54 Bijenička cesta, Zagreb, 10000, Croatia.
Isopods are a diverse group of crustaceans, that inhabit various environments, including terrestrial, freshwater, and marine, both on the surface and in the underground. The biological mechanisms underlying their wide range of adaptations to diverse ecological niches remain elusive. In order to unravel the molecular basis of their adaptability, we generated a comprehensive RNAseq dataset comprising 11 isopod species belonging to the three different suborders: freshwater Asellota, marine, brackish and freshwater Sphaeromatidea, and terrestrial Oniscidea, with representatives from families Asellidae, Sphaeromatidae, and Trichoniscidae, respectively.
View Article and Find Full Text PDFPLoS One
April 2024
Department of Molecular Biology, Ruđer Bošković Institute, Zagreb, Croatia.
While extensive research on traditional model species has significantly advanced the biological sciences, the ongoing search for new model organisms is essential to tackle contemporary challenges such as human diseases or climate change, and fundamental phenomena including adaptation or speciation. Recent methodological advances such as next-generation sequencing, gene editing, and imaging are widely applicable and have simplified the selection of species with specific traits from the wild. However, a critical milestone in this endeavor remains the successful cultivation of selected species.
View Article and Find Full Text PDFClin Oral Investig
September 2022
Department of Pediatric Dentistry, School of Dentistry, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
Objectives: One or more missing teeth, such as hypodontia, make it difficult to obtain accurate results in age estimation methods. This paper aims to test the accuracy of the models developed by Bedek et al. that can estimate age with fewer than seven teeth for Turkish children.
View Article and Find Full Text PDFJ Forensic Odontostomatol
December 2020
Department of Oral Biology, Division of Forensic Odontology, Faculty of Dentistry, Universitas Indonesia, Jakarta, Indonesia.
Age estimation significantly contributes to forensic medicine and law enforcement in Indonesia. However, lateral cephalometric radiographs of cervical vertebrae have not been used to estimate age in the Indonesian population. This study developed a formula to estimate the skeletal age of cervical vertebrae using multiple linear regression analyses, estimating the dental age and evaluating the agreement between cervical vertebrae skeletal-chronological, dental-chronological, and cervical vertebrae skeletal-dental ages.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!