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ORIGINAL ARTICLE
Year : 2018  |  Volume : 3  |  Issue : 1  |  Page : 30-35

Comparative analysis of kvaal's and cameriere's methods for dental age estimation: A panoramic radiographic study


1 Indian Dentist Research and Review, Rajarajeswari Dental College and Hospital, Bengaluru, Karnataka, India
2 Department of Oral Medicine and Maxillofacial Radiology, Rajarajeswari Dental College and Hospital, Bengaluru, Karnataka, India
3 W&H India, Bengaluru, Karnataka, India

Correspondence Address:
Dr. Nikhat Mukhtar Gazge
Indian Dentist Research and Review, Rajarajeswari Dental College and Hospital, Bengaluru, Karnataka
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijfo.ijfo_7_18

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Background and Aim: Age estimation is one of the indicators employed to identify an individual in forensic sciences. Teeth are frequently used as they can be preserved for long time even after many of the tissues have disintegrated. The radiological techniques of age estimation such as Kvaal's and Cameriere's are simple, noninvasive, and reproducible. These are less time-consuming and do not necessitate extraction. Hence, a study was conducted to evaluate and compare the accuracy of Kvaal's and Cameriere's methods for dental age estimation using panoramic radiographs. Materials and Methods: Panoramic radiographs of 120 patients within the age group of 20–60 years, reporting to the Department of Oral Medicine and Radiology over a period of 3 years were selected from the archives of database based on inclusion and exclusion criteria. Radiographs of patients were divided according to age into four groups with an interval of 10 years, each group comprising of 30 individuals (15 males and 15 females). The mandibular cuspid, first bicuspid, and second bicuspid on either left or right side were selected for analysis as these teeth are not likely to undergo wear and tear. The required measurements were performed using Adobe Photoshop CS5 for both the methods. Results and Conclusion: The data were subjected to Pearson's correlation analysis, Stepwise linear regression analysis, Student's unpaired t-test, ANOVA, and Bonferroni post hoc analysis. Kvaal's method was found to be ideal compared to Cameriere's method to predict age. The best tooth to be considered for predicting age using Kvaal's method was found to be tooth number 34.


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