ArticleJournal of forensic sciences2022
Regressive changes of crown-root morphology and their volumetric segmentation for adult dental age estimation.
Article in Journal of forensic sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Root canal morphometric indices of anterior teeth and their association with chronological age: a retrospective CBCT study in an Iranian population.BMC oral health · 2026Article
- Accuracy and challenges in age estimation in adults: a scoping review of anthropological, dental, biochemical, and molecular methods.Forensic science, medicine, and pathology · 2025Article
- Forensic skeletal and molecular anthropology face to face: Combining expertise for identification of human remains.Annals of the New York Academy of Sciences · 2025Review
- Age estimation from morphometric features of maxillary central incisors using CBCT images.BMC oral health · 2025Article
- Exploring optimal methods for age-at-death estimation using pulp/tooth area ratios: a South African study.International journal of legal medicine · 2025Observational
- Machine learning assisted 5-part tooth segmentation method for CBCT-based dental age estimation in adults.The Journal of forensic odonto-stomatology · 2024Article
- Age Estimation in Brazilian Adults Using the Pulp/Tooth Ratio of the Maxillary Canine and Mandibular Second Premolar.Diagnostics (Basel, Switzerland) · 2024Article
- Dental age estimation in Indonesian adults: An investigation of the maxillary canine pulp-to-tooth volume ratio using cone-beam computed tomography.Imaging science in dentistry · 2023Article
- 3D segmentation of dental crown for volumetric age estimation with CBCT imaging.International journal of legal medicine · 2023Article
- Regressive changes of crown-root morphology and their volumetric segmentation for adult dental age estimation.Journal of forensic sciences · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Cone-beam computed tomography (CBCT) enables the assessment of regressive morphological changes in teeth, which can be used to predict chronological age (CA) in adults. As each tooth region is known to have different correlations with CA, this study aimed to segment and quantify the sectional volumes of the tooth crown and root from CBCT scans to test their correlations with the chronological age (CA). Seventy-five CBCT scans from individuals with age between 20 and 60 years were collected retrospectively from an existing database. A total of 192 intact maxillary anterior teeth fulfilled the eligibility criteria. The upper tooth volume ratio (UTVR), lower tooth volume ratio (LTVR), and sex were used as predictor variables. The UTVR and LTVR parameters were both found to be differently correlated to CA and independent from each other. Regression models were derived from each tooth, with the highest R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.