Age estimation by volumetric analysis of teeth using cone beam computed tomography
- PMID: 38589600
- DOI: 10.1007/s11282-024-00750-w
Age estimation by volumetric analysis of teeth using cone beam computed tomography
Abstract
Objectives: To evaluate the feasibility of using the pulp volume (Pv) to total volume (Tv) ratio (Pv:Tv), obtained from cone beam computed tomography (CBCT) scans of single-rooted teeth, for age estimation in a Brazilian population sample.
Methods: After obtaining approval from the ethics committee, the study commenced by applying inclusion criteria to screen CBCT scans, resulting in a probability-based sample of participants aged 18 years and older (ranging from 18 to 82 years, with a mean age of 46.44 years). A total of 517 single-rooted teeth, including maxillary central incisors (CI), mandibular canines (C), and mandibular first premolars (FP), were chosen based on excellent agreement values (> 0.9). Pv and Tv measurements were conducted using semi-automatic segmentation with ITK-SNAP 3.8 software. Statistical analysis was performed using Jamovi software, with a significance level set at 5% (α = 0.05).
Results: A strong negative correlation (r > -0.7) was observed between chronological age and the Pv:Tv ratio across all examined teeth. However, when conducting regression analysis with Pv:Tv data and chronological age as the independent variable, only the mandibular FP teeth exhibited a normal distribution. The resulting linear model demonstrated moderate predictive value (approximately 64%) in explaining the variance in chronological age, but caution should be exercised when interpreting these findings.
Conclusions: The method of measuring individual tooth volume using CBCT to estimate chronological age via Pv:Tv has been demonstrated as effective and reproducible within the Brazilian population sample.
Keywords: Aging; Computer-assisted image processing; Cone-beam computed tomography; Diagnostic imaging; Forensic dentistry; Tooth.
© 2024. The Author(s) under exclusive licence to Japanese Society for Oral and Maxillofacial Radiology.
Similar articles
-
Age estimation based on pulp/tooth volume ratio measured on cone-beam CT images.Dentomaxillofac Radiol. 2018 Jan;47(1):20170239. doi: 10.1259/dmfr.20170239. Epub 2017 Nov 1. Dentomaxillofac Radiol. 2018. PMID: 28991500 Free PMC article.
-
Age estimation based on pulp/tooth volume ratio using CBCT: a study on mandibular canines.BMC Oral Health. 2025 Jul 26;25(1):1248. doi: 10.1186/s12903-025-06659-y. BMC Oral Health. 2025. PMID: 40713693 Free PMC article.
-
Dental age estimation in Malaysian adults based on volumetric analysis of pulp/tooth ratio using CBCT data.Leg Med (Tokyo). 2019 Feb;36:50-58. doi: 10.1016/j.legalmed.2018.10.005. Epub 2018 Oct 21. Leg Med (Tokyo). 2019. PMID: 30415192
-
Pulp volume quantification methods in cone-beam computed tomography for age estimation: A critical review and meta-analysis.J Forensic Sci. 2023 May;68(3):743-756. doi: 10.1111/1556-4029.15248. Epub 2023 Mar 31. J Forensic Sci. 2023. PMID: 36999688 Review.
-
Dental age estimation using cone-beam computed tomography: A systematic review and meta-analysis.Imaging Sci Dent. 2023 Jun;53(2):91-99. doi: 10.5624/isd.20221226. Epub 2023 Feb 11. Imaging Sci Dent. 2023. PMID: 37405204 Free PMC article. Review.
References
-
- Verma M, Verma N, Sharma R, Sharma A. Dental age estimation methods in adult dentitions: an overview. J Forensic Dent Sci. 2019. https://doi.org/10.4103/jfo.jfds_64_19 . - DOI - PubMed
-
- Patil V, Saxena J, Vineetha R, et al. Age assessment through root lengths of mandibular second and third permanent molars using machine learning and artificial neural networks. J Imaging. 2023. https://doi.org/10.3390/jimaging9020033 . - DOI - PubMed - PMC
-
- Gulsahi A, Kulah CK, Bakirarar B, Gulen O, Kamburoglu K. Age estimation based on pulp/tooth volume ratio measured on cone-beam CT images. Dentomaxillofac Radiol. 2018. https://doi.org/10.1259/dmfr.20170239 . - DOI - PubMed - PMC
-
- Andrade VM, Fontenele RC, de Souza AC, et al. Age and sex estimation based on pulp cavity volume using cone beam computed tomography: development and validation of formulas in a Brazilian sample. Dentomaxillofac Radiol. 2019. https://doi.org/10.1259/dmfr.20190053 . - DOI - PubMed - PMC
-
- Zheng Q, Ge Z, Du H, Li G. Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam-computed tomography by integrated deep learning and level set. Int J Legal Med. 2021. https://doi.org/10.1007/s00414-020-02459-x . - DOI - PubMed