New regression equation for predicting the size of unerupted canines and premolars in a Turkish sample

Background: One of the methods used for predicting the size of unerupted canines and premolars is regression equaiton. This retrospective study aimed to evaluate the reliability of regression equations developed for predicting the size of unerupted canines and premolars and to develop a new regression equation. Methods: Mesiodistal diameters of all permanent teeth except second molars were measured on orthodontic plaster models of 265 patients (133 females, mean age 15.09 years; 132 males, mean age 15.25 years). Actual values measured with digital caliper on orthodontic plaster models were compared with the predicted values of 3 regression equations developed for the Turkish population. For data analysis, Linear Regression Analysis was used to make measurement predictions. Intraclass correlation was used to evaluate intraobserver reliability. Based on the parameters of this study, a new regression equation was developed. Results: Three regression equations developed previously for the Turkish population underestimated the mesiodistal dimension of permanent canines and premolars. Mesiodistal diameters of teeth were significantly different between genders in both the maxillary and mandibular arches. A new regression equation was developed using the data of this study. Conclusions: Based on our population, the new regression equation would provide the closest prediction value for the sum of the mesiodistal widths of unerupted permanent canines and premolars. Therefore, it enables more realistic orthodontic treatment planning to be conducted.

Regression equation; Mixed dentition; Tooth size

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