Applicability of Cameriere’s and Drusini’ s age estimation methods to a sample of Turkish adults
| Autor: | Akkaya Nursel, Yilanci Humeyra Ozge, Avcu Nihal, Boyacioglu Dogru Hatice, Dincer Goksuluk |
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| Rok vydání: | 2017 |
| Předmět: |
Adult
Male Molar Turkey Dentistry Mandible Mandibular first molar Mandibular second molar 03 medical and health sciences Mandibular canine 0302 clinical medicine stomatognathic system Radiography Panoramic Premolar medicine Humans Radiology Nuclear Medicine and imaging 030216 legal & forensic medicine General Dentistry Aged Mathematics Observer Variation Orthodontics business.industry Maxillary canine 030206 dentistry General Medicine Mandibular first premolar Middle Aged stomatognathic diseases medicine.anatomical_structure Otorhinolaryngology Coronal plane Radiographic Image Interpretation Computer-Assisted Female Age Determination by Teeth business Software Forensic Dentistry Research Article |
| Zdroj: | Dentomaxillofacial Radiology. 46:20170026 |
| ISSN: | 1476-542X 0250-832X |
| DOI: | 10.1259/dmfr.20170026 |
| Popis: | The aim of this study was to investigate the applicability of Drusini's and Cameriere's methods to a sample of Turkish people.Panoramic images of 200 individuals were allocated into two groups as study and test groups and examined by two observers. Tooth coronal indexes (TCI), which is the ratio between coronal pulp cavity height and crown height, were calculated in the mandibular first and second premolars and molars. Pulp/tooth area ratios (ARs) were calculated in the maxillary and mandibular canine teeth. Study group measurements were used to derive a regression model. Test group measurements were used to evaluate the accuracy of the regression model. Pearson's correlation coefficients and regression analysis were used.The correlations between TCIs and age were -0.230, -0.301, -0.344 and -0.257 for mandibular first premolar, second premolar, first molar and second molar, respectively. Those for the maxillary canine (MX) and mandibular canine (MN) ARs were -0.716 and -0.514, respectively. The MX ARs were used to build the linear regression model that explained 51.2% of the total variation, with a standard error of 9.23 years. The mean error of the estimates in test group was 8 years and age of 64% of the individuals were estimated with an error of±10 years which is acceptable in forensic age prediction.The low correlation coefficients between age and TCI indicate that Drusini's method was not applicable to the estimation of age in a Turkish population. Using Cameriere's method, we derived a regression model. |
| Databáze: | OpenAIRE |
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