ArticleInternational journal of legal medicine2019
Age estimation using pulp/enamel volume ratio of impacted mandibular third molars measured on CBCT images in a northern Chinese population.
Article in International journal of legal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches.International journal of legal medicine · 2023Pooled it
- CBCT in dental age estimation: A systematic review and meta analysis.Dento maxillo facial radiology · 2022Pooled it
- CBCT-based volumetric analysis of mandibular central incisors for age estimation in children and adolescents: a pilot study.Scientific reports · 2026Article
- Silent Witnesses: Exploring the Impact of Cone Beam Computed Tomography on Forensic Investigations.Cureus · 2025Review
- 3D modelling and x-ray depth analysis map of the pulp with computer software via digital periapical radiography and cone beam computed tomography.BMC oral health · 2025Article
- Age-related patterns in mandibular third molar eruption: presenting new forensic age assessment reference data from a Chinese population.Forensic science, medicine, and pathology · 2025Article
- Comparative Age Estimation Using 2D and 3D Imaging of Maxillary and Mandibular Molars: A Prospective Study.Cureus · 2025Article
- Article
- A potential novel technique for measurement of pulp volume on periapical radiography: A pilot study.The Kaohsiung journal of medical sciences · 2024Article
- Machine learning assisted 5-part tooth segmentation method for CBCT-based dental age estimation in adults.The Journal of forensic odonto-stomatology · 2024Article
- Semi-supervised automatic dental age and sex estimation using a hybrid transformer model.International journal of legal medicine · 2023Article
- 3D segmentation of dental crown for volumetric age estimation with CBCT imaging.International journal of legal medicine · 2023Article
- Testing international techniques for the radiographic assessment of third molar maturation.Journal of clinical and experimental dentistry · 2021Article
- Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks.PloS one · 2021Article
- Evaluation of secondary dentin formation for forensic age assessment by means of semi-automatic segmented ultrahigh field 9.4 T UTE MRI datasets.International journal of legal medicine · 2020Article
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10 authors.
Funding
Abstract
The present study aims to evaluate the relation between chronological age and the ratio of pulp volume (PV) to enamel volume (EV) of impacted mandibular third molars (IMTMs) by using cone-beam computed tomography (CBCT) images and an improved 3D image segmentation technique. A sample of CBCT images of IMTM was collected from 414 northern Chinese subjects (214 male and 200 female clinical patients) ranging in age from 20 to 65 years. The GrowCut effect image segmentation (GCEIS) module algorithm was used to calculate the PV and EV from CBCT images. The total sample was divided into a training group and validation group in a ratio of 7 to 3. The PV/EV ratio (PEr) in the training sample was used to develop a mathematical formula for age estimation as follows: age = - 5.817-21.726 × Ln PEr (p < 0.0001) (Ln, natural logarithm). The mean absolute error (MAE) and root mean square error (RMSE) were used to determine the precision and accuracy of the mathematical formula in the validation group and all samples. The MAEs in the male, female, and pooled gender samples were 9.223, 7.722, and 8.41, respectively, and the RMSEs in the male, female, and pooled gender samples were 10.76, 9.58, and 9.986, respectively. The precise and accurate results indicate that the PEr of IMTM in CBCT images is a potential index for dental age estimation and is possible to be used in forensic medicine.
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