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Assessment of a New Regression Equation for Mixed Dentition Space Analysis in Paediatric Population of Wardha, Maharashtra, India-A Research Protocol.

Authors :
RAGIT, RUTUJA PURUSHOTTAM
FULZELE, PUNIT RATNAKAR
THOSAR, NILIMA
Source :
Journal of Clinical & Diagnostic Research. Dec2022, Vol. 16 Issue 12, p4-7. 4p.
Publication Year :
2022

Abstract

Introduction: Prediction of the mesiodistal crown width of unerupted canines and premolars in mixed dentition analysis is crucial. When Tanaka-Johnston's equations, the most popular approach, are applied to diverse ethnic groups, their accuracy is questioned. Aim: To derive a new regression equation of mixed dentition space analysis for predicting the size of unerupted canines and premolars teeth among paediatric population of Wardha, Maharashtra, India. Materials and Methods: The study will be conducted in two phases. The study design for First phase is observational and second phase is interventional. Dental study casts of 400 patients aged 11-18 years will be selected in the first phase. A Digital Vernier Caliper (DVC) will be used to measure the mesiodistal crown dimension of all erupted permanent teeth up to first molar. Between four mandibular incisors and the caninepremolar segments of both arches, correlation and linear regression equations will be created. In the second phase, 30 children aged 6-11 years will be randomly selected. Analysis of Tanaka-Johnston's equations, Huckaba GW equation and the proposed equation will be compared and further statistical analysis will be carried out. Results: New derived regression equation will allow the closer prediction of the size of unerupted canines and premolars in the paediatric population of Wardha. Conclusion: This new equation will allow an accurate prediction of the width of unerupted canines and premolars at an earlier age in the said population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0973709X
Volume :
16
Issue :
12
Database :
Academic Search Index
Journal :
Journal of Clinical & Diagnostic Research
Publication Type :
Academic Journal
Accession number :
161133931
Full Text :
https://doi.org/10.7860/JCDR/2022/58051.17306