New regression models for dental age estimation in children using third molar maturity index: A preliminary analysis testing its usefulness as reliable age marker
| Autor: | Naga Madhuri N, Sudhashree Lingam, Hima Ranjana P, Sudheer B. Balla, Alekhya Kotra, Roberto Cameriere, Karunakar P |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Molar Adolescent Correlation coefficient media_common.quotation_subject India 01 natural sciences Pathology and Forensic Medicine Correlation Young Adult 03 medical and health sciences 0302 clinical medicine Radiography Panoramic Statistics Humans 030216 legal & forensic medicine Child media_common Mathematics Estimation Models Statistical Variables 010401 analytical chemistry Reproducibility of Results Regression analysis Forensic Medicine Regression 0104 chemical sciences Maturity (psychological) Issues ethics and legal aspects Regression Analysis Female Molar Third Age Determination by Teeth Biomarkers |
| Zdroj: | Legal Medicine. 39:35-40 |
| ISSN: | 1344-6223 |
| DOI: | 10.1016/j.legalmed.2019.06.003 |
| Popis: | This paper concerns a method to estimate age in children using third molar maturity index (I3M) as independent variable and age as the dependent variable. Total of 1283 digital orthopantomograms (OPTs) of south Indian children aged between 7 and 22 years was included. Training sample of 933 OPTs was used to derive regression formulae, and validation sample of 350 OPTs used to verify accuracy of newly derived regression models. Regression analysis performed revealed that cubic function gave the best correlation between the studied variables. The models exhibited a high correlation coefficient for third molar development in both sexes (0.81 for boys and 0.84 for girls). When new models were verified, slight overestimation of dental age i.e., 0.2 years in boys and 0.13 years in girls was observed. Therefore, we conclude by recommending newly derived regression models as they provided better age predicting performances. |
| Databáze: | OpenAIRE |
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