ArticleInternational journal of legal medicine2024
Accuracy of second and third molar maturity indices, Olze, Haavikko, and Demirjian methods for 14- and 16-year-old age thresholds assessment in Croatian children and adolescents.
Article in International journal of legal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dental age assessment: A proposal for refining and extending the Demirjian stages for third molar mineralization evaluation.International journal of legal medicine · 2026Article
- Comparative Analysis of Third Molar Segmentation Performance Across Dental Developmental Stages and the 18-Year Age Threshold Using Deep Learning Models.Diagnostics (Basel, Switzerland) · 2026Article
- Effectiveness of combining third molar maturity index and palatal median suture maturity for age assessment in Yunnan adolescents.International journal of legal medicine · 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
- Legal Dental Age Thresholds Estimation in Croatian Children and Adolescents: Accuracy of the Olze, Haavikko, and Demirjian Methods.Acta stomatologica Croatica · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
This study explores the reliability of four established legal age threshold estimation approaches in a Croatian sample. We applied Haavikko stages, Demirjian stages, Olze's third molar eruption stages, and second and third molar maturity indices measurement in 593 orthopantomograms of Croatian children and adolescents aged 11.00-20.99 years old. The left mandibular second and third molar were assessed. Logistic regression analysis was conducted to test the significance of predictive variables. Logistic Receiver operating characteristic (ROC) curves were performed to evaluate the classification ability of variables for estimating 14- and 16-year-old thresholds. The areas under the ROC curve (AUC), accuracy (Acc), sensitivity (Se), specificity (Sp), Positive Likelihood Ratio (LR +), Negative Likelihood Ratio (LR-), and Bayes post-test probability (Bayes PTP) were calculated to evaluate classification performance. Results suggest that the combination of I
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