Odontometric Data and New Regression Equations for Predicting the Size of Unerupted Permanent Canine and Premolars for Chennai Population

Abstract

Objectives : To produce odontometric data and formulate a new regression equation for prediction of unerupted canine and premolars in Chennai population. Materials and methods: The present study comprised of 400 study models (200 males and 200 females) obtained from Postgraduate Students of Department of Orthodontics, Saveetha Dental College, Chennai. The mesiodistal width of teeth from molar to molar in the maxillary and mandibular arches was measured using digital Vernier caliper and used to formulate the odontometric data and regression equation (to predict the width of unerupted canine and premolars). Results: The following are equations derived for prediction of unerupted canine and premolars in Chennai population: Males— Maxilla: y = 7.071 + 0.77x, Mandible: y = 6.430 + 0.650x; Females— Maxilla: y = 1.276 + 0.769x, Mandible: y = 7.388 + 0.605x Where, x = summed mesiodistal widths of the four mandibular incisors in millimeters, and y = estimated sum of mesiodistal widths of canine and two premolars in one arch quadrant, in millimeters. Conclusion: The observations obtained from our study would not only pave the way in predicting the mesiodistal width of unerupted canine and premolar in Chennai population but also give normative odontometric data which can be used for anthropological use and for diagnosis and treatment planning