ArticleInternational journal of legal medicine2016
Third molar maturity index (I3M) for assessing age of majority in a black African population in Botswana.
Article in International journal of legal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
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Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.
- 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
- Accuracy of the third molar maturity index in assessing the legal age of 18 years: a systematic review and meta-analysis.International journal of legal medicine · 2018Pooled it
- Population effects and cross-population generalisability of the third molar maturity index for 18-year age classification: a multi-centre study with machine learning validation.International journal of legal medicine · 2026Article
- Radiographic root pulp visibility of the mandibular left second molar as an indicator of legal adulthood (≥ 18 Years): a panoramic study.Scientific reports · 2026Article
- Assessment of the coming of age using the Caggiano method based on Demirijian stages and the Cameriere method applied to third molars in a Brazilian population.The Journal of forensic odonto-stomatology · 2026Article
- Demirjian's and Cameriere's methods for estimating the 18-year legal age threshold using third molar maturity in a Northern Thai population.Scientific reports · 2026Article
- The temporal course of third molar mineralization in a black South African population.International journal of legal medicine · 2026Article
- Assessing the accuracy of the third molar eruption as an indicator of adulthood: findings from a black South African sample using the Gambier method.International journal of legal medicine · 2025Article
- Insights into dental age estimation: introducing multiple regression data from a Black South African population on modified gustafson's criteria.International journal of legal medicine · 2025Article
- Third molar maturity index for discriminating between adults and minors: validation in an Iranian sample.The Journal of forensic odonto-stomatology · 2024Article
- Age estimation at 18-year threshold: comparing Demirjian and Cameriere's methods for Thais.The Journal of forensic odonto-stomatology · 2024Article
- Dental Age Assessment Based on Developmental Stages and Maturity Index of Third Molars for Medico-Legal Purposes.Diagnostics (Basel, Switzerland) · 2024Article
- Predicting chronological age of 14 or 18 in adolescents: integrating dental assessments with machine learning.BMC pediatrics · 2024Article
- The challenge of unidentified decedents in Africa: The need for training and research in forensic odontology to strengthen a multidisciplinary approach.Frontiers in oral health · 2022Article
- Legal age determined by a new threshold value of third molar maturity index in subjects with impacted mandibular third molars: An orthopantomographic study in south Indian adolescents.International journal of legal medicine · 2022Article
- Accuracy of four dental age estimation methods in determining the legal age threshold of 18 years among South Indian adolescents and young.The Journal of forensic odonto-stomatology · 2021Article
- Evaluation of third molar maturity index (I3M) in assessing the legal age of subjects in an Indian Goan population.The Journal of forensic odonto-stomatology · 2021Article
- Comparison of the third molar maturity index (IInternational journal of legal medicine · 2021Article
- Age Estimation Using the Cameriere Methods of Open Apices: A Meta-Analysis.Healthcare (Basel, Switzerland) · 2021Article
- Minor migrants' age estimation: Comparison of two dental methods.Forensic science international. Synergy · 2021Article
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assessment of legal age, also known as age of majority, is a controversial issue as there are few body biomarkers or evidence during late adolescence differentiating a subject from being a minor or adult. The third molar was recognized as a suitable site for age examination in late adolescence. We analyzed the development of the left mandibular third molar by the third molar maturity index (I3M) and a specific cut-off value of I3M = 0.08, established by Cameriere et al. in 2008 and used it for discriminating between minors and adult black Africans from Gaborone, Botswana. A final sample of panoramic radiographs (OPTs) of 1294 people (582 males and 712 females) aged between 13 and 23 years was evaluated. The real age decreased as I3M gradually increased. There was no statistically significant difference in the third molar development evaluated using I3M between males and females (p > 0.05) across different I3M classes. Results of 2 × 2 contingency tables for different cut-off values indicated that I3M = 0.08 was useful in discriminating between adults and minors. Precisely, for I3M = 0.08, the values of accuracy or overall fraction of correctly classified were 0.91 in males with a 95 % confidence interval (95 % CI) of 0.88 to 0.93 and 0.92 (95 % CI, 0.90 to 0.93) in females. Values of sensitivity of the test or the proportion of participants being 18 years and older were 0.88 (95 % CI, 0.87 to 0.90) in males and 0.88 (95 % CI, 0.90 to 0.93) in females, while values of specificity or proportion of individuals younger than 18 who have I3M <0.08 were 0.94 (95 % CI, 0.91 to 0.96) in males and 0.96 (95 % CI, 0.94 to 0.98) in females. Positive predictive values of the test, where the participants whose I3M <0.08 were adults, were 0.94 (95 % CI 0.91 to 0.96) in males and 0.97 (95 % CI, 0.94 to 0.98) in females, while negative predictive values of the test, where the participants whose I3M was ≥0.08 were minors, were 0.88 (95 % CI 0.85 to 0.90) in males and 0.97 (95 % CI, 0.94 to 0.98) in females. The likelihood ratios of the positive test (LR+) were 13.67 (95 % CI, 9.21 to 21.02) in males and 23.73 (95 % CI, 14.20 to 42.28) in females, while likelihood ratios of the negative test (LR-) were 0.12 (95 % CI 0.10 to 0.16) in males and 0.12 (95 % CI, 0.11 to 0.15) in females. Bayes post-test probabilities, p, were 0.94 (95 % CI 0.90 to 0.98) in males and 0.97 (95 %CI, 0.93 to 1.00) in females. These results indicate with high accuracy that I3M may be a useful alternative method in legal and forensic practice to discriminate individuals of black African origin who are around the legal adult age of 18 years in Botswana. Further studies should address the usefulness of this method and specific cut-off for different adolescent populations.
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