ArticleThe Journal of forensic odonto-stomatology2017
Forensic age estimation based on development of third molars: a staging technique for magnetic resonance imaging.
Article in The Journal of forensic odonto-stomatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 3 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
- Magnetic resonance imaging for forensic age estimation in living children and young adults: a systematic review.Pediatric radiology · 2020Pooled it
- CT and MR imaging used in age estimation: a systematic review.The Journal of forensic odonto-stomatology · 2018Pooled it
- Dental age estimation: a scoping review comparing the manual application of the Demirjian method and artificial intelligence modalities.International journal of legal medicine · 2026Article
- An autoencoder and vision transformer based interpretability analysis on the performance differences in automated staging of second and third molars.Scientific reports · 2025Article
- Magnetic resonance imaging for multi-factorial age estimation using Bayes' rule: a validation study in two independent samples.International journal of legal medicine · 2025Article
- The Brazilian (FRANCO) method for dental age estimation: Willems' model revisited.Clinical oral investigations · 2024Article
- Magnetic Resonance Images for the Prediction of Chronological Age Using Maxillary Third Molar Teeth: An Observational Study.Clinical, cosmetic and investigational dentistry · 2024Article
- Systematic review: oral and maxillofacial radiology as fundamental methods of virtual autopsy.Forensic sciences research · 2023Review
- Study of the ethnicity's influence on the third molar maturity index (IInternational journal of legal medicine · 2021Article
- Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks.PloS one · 2021Article
- Forensic age estimation based on T1 SE and VIBE wrist MRI: do a one-fits-all staging technique and age estimation model apply?European radiology · 2019Article
- Magnetic resonance imaging of third molars in forensic age estimation: comparison of the Ghent and Graz protocols focusing on apical closure.International journal of legal medicine · 2019Article
- A 2-year follow-up MRI study for the evaluation of an age estimation method based on knee bone development.International journal of legal medicine · 2019Article
- Age estimation combining radiographic information of two dental and four skeletal predictors in children and subadults.International journal of legal medicine · 2018Article
- Inter-observer agreement in the radiographic interpretation of Demirjian's developmental stages in the mandibular second and third molars - A comparative study.Journal of oral and maxillofacial pathology : JOMFPArticle
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6 authors.
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Abstract
backgroundThe development of third molars can be evaluated with medical imaging to estimate age in subadults. The appearance of third molars on magnetic resonance imaging (MRI) differs greatly from that on radiographs. Therefore a specific staging technique is necessary to classify third molar development on MRI and to apply it for age estimation.
aimTo develop a specific staging technique to register third molar development on MRI and to evaluate its performance for age estimation in subadults. MATERIALS AND
methodsUsing 3T MRI in three planes, all third molars were evaluated in 309 healthy Caucasian participants from 14 to 26 years old. According to the appearance of the developing third molars on MRI, descriptive criteria and schematic representations were established to define a specific staging technique. Two observers, with different levels of experience, staged all third molars independently with the developed technique. Intra- and inter-observer agreement were calculated. The data were imported in a Bayesian model for age estimation as described by Fieuws et al. (2016). This approach adequately handles correlation between age indicators and missing age indicators. It was used to calculate a point estimate and a prediction interval of the estimated age. Observed age minus predicted age was calculated, reflecting the error of the estimate.
resultsOne-hundred and sixty-six third molars were agenetic. Five percent (51/1096) of upper third molars and 7% (70/1044) of lower third molars were not assessable. Kappa for inter-observer agreement ranged from 0.76 to 0.80. For intra-observer agreement kappa ranged from 0.80 to 0.89. However, two stage differences between observers or between staging sessions occurred in up to 2.2% (20/899) of assessments, probably due to a learning effect. Using the Bayesian model for age estimation, a mean absolute error of 2.0 years in females and 1.7 years in males was obtained. Root mean squared error equalled 2.38 years and 2.06 years respectively. The performance to discern minors from adults was better for males than for females, with specificities of 96% and 73% respectively.
conclusionAge estimations based on the proposed staging method for third molars on MRI showed comparable reproducibility and performance as the established methods based on radiographs.
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