Anusree Nair Post graduate, Department of Pediatric & Preventive Dentistry, Mahe Institute of Dental Sciences and Hospital, Mahe, Puducherry 673310, India
Rena Ephraim Professor & HOD, Department of Pediatric and Preventive Dentistry, Mahe Institute of Dental Sciences and Hospital, Mahe, Puducherry 673310, India
Ambili Ayilliath Professor, Department of Pediatric & Preventive Dentistry, Mahe Institute of Dental Sciences and Hospital, Mahe, Puducherry 673310, India
Sharath Chandrashekhar Associate Professor, Department of Pediatric & Preventive Dentistry, Mahe Institute of Dental Sciences and Hospital, Mahe, Puducherry 673310, India
Dhanya K B Associate Professor, Department of Pediatric & Preventive Dentistry, Mahe Institute of Dental Sciences and Hospital, Mahe, Puducherry 673310, India
Sreelakshmi R Assistant Professor, Department of Pediatric & Preventive Dentistry, Mahe Institute of Dental Sciences and Hospital, Mahe, Puducherry 673310, India
Address for correspondence: Rena Ephraim, Professor & HOD, Department of Pediatric and Preventive Dentistry, Mahe Institute of Dental Sciences and Hospital, Mahe, Puducherry 673310, India E-mail: renaephraim98@gmail.com
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Anusree Nair, Rena Ephraim, Ambili Ayilliath et al., Dental Age Estimation by Modifying Nolla’s Method to Determine the Accuracy in Children in the Region of Mahe. Ind J Dent Educ. 2024;17(4):163-169.
Timeline
Received : December 18, 2023
Accepted : February 14, 2024
Published : December 10, 2024
Abstract
Background: Age estimation has many factors, viz, skeletal age, sexual age, chronological age (CA) and dental age (DA). Assessment of tooth development is widely being used these days for age estimation because of its reliability and ease of procedure. The tooth with its developmental phases impart non-invasive, non-destructive attributes to assess the person’s age. However, ethnicity, influence of hormonal and racial factors, environmental changes, and various diseasesmay alter the results in certain areas.
Aim of the study: To estimate the Dental age of children aged 7-10 years by Nolla’s method using Orthopantomographs, in the region of Mahe.
Materials and Methodology: 60 digital Orthopantomographs (OPGs) were used for the study to estimate the DA of children, using Nolla’s method of DA estimation. Seven permanent teeth in the left mandibular quadrant were assessed as per Nolla’s method. This was compared to the other quadrants and the results were analysed to determine the DA. The mean difference between the DA and CA was calculated using a paired t-test. Correlation between CA and DA was analysed using Pearson’s correlation coefficient. The statistical analysis was done using IBM SPSS Statistics for Windows, Version 26.0.
Results: The DA of children of Mahe showed under estimation using Nolla’s method of age determination. Among the quadrants, the maxillary right quadrant showed the least under estimation or most accurate age estimation.
Conclusion: By using a proper regression equation, the Nolla’s method can be made more accurate for age determination in the children of Mahe.
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Anusree Nair, Rena Ephraim, Ambili Ayilliath et al., Dental Age Estimation by Modifying Nolla’s Method to Determine the Accuracy in Children in the Region of Mahe. Ind J Dent Educ. 2024;17(4):163-169.
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.