ArticleInternational journal of environmental research and public health2022
Age Estimation Using Maxillary Central Incisor Analysis on Cone Beam Computed Tomography Human Images.
Article in International journal of environmental research and public health, 2022. 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.
- A Comparative Evaluation of Chronological Age with Dental Age Based on Volumetric Analysis of Pulp-Tooth Ratio of Maxillary Anterior Teeth: A Cone-beam Computed Tomography Study.International journal of clinical pediatric dentistry · 2026Article
- Silent Witnesses: Exploring the Impact of Cone Beam Computed Tomography on Forensic Investigations.Cureus · 2025Review
- Age estimation from morphometric features of maxillary central incisors using CBCT images.BMC oral health · 2025Article
- Comparative analysis of estimated age by pulp-to-tooth area ratio using CBCT in three different teeth on a subset of Hyderabad population: A preliminary study.The Journal of forensic odonto-stomatology · 2024Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Forensic dentistry plays an important role in human identification, and dental age estimation is an important part of the process. Secondary dentin deposition throughout an individual's lifetime and consequent modification in teeth anatomy is an important parameter for age estimation procedures. The aim of the present study was to develop regression equations to determine age in adults by means of linear measurements and ratios on sagittal, coronal and axial slices of maxillary central incisors using cone bean computed tomography (CBCT). Multiplanar measurements of upper central incisors were taken for a sample of 373 CBCTs. Subsequently, one-way analysis of variance (ANOVA) and multivariate linear regressions were performed for age estimation. The equations obtained from axial linear measurements and ratios presented a standard error of the estimate (SEE) of ±10.9 years (R
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