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

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 canine-premolar 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.

Keywords

• canine
• children
• huckaba’s analysis
• mesiodistal width
• permanent
• premolar
• tanaka-johnston’s analysis
• unerupted