Prediction of Un-erupted Canine and Premolar Tooth Size in Mixed Dentition among Bangladeshi Population

Accurate prediction of the space available to accommodate the size of the un-erupted canines and premolars plays an important role in mixed dentition in Orthodontics. This Descriptive cross sectional study was carried out in the Department of Orthodontics of Bangabandhu Sheikh Mujib Medical University from July 2014 to June 2015. Dental study models of 140 patients were taken as sample. The sample was consisted of 54 Bangladeshi males and 86 females aged between 12 to 17 years and without any previous orthodontic treatment fully erupted permanent teeth and with no dental anomalies were recruited. The study was done by measuring the mesio-distal dimensions of teeth over the dental cast. A pre-structured data collection form which includes the particulars of the patient and data was filled. All patients were having a serial number to maintain their confidentiality. The study protocol was approved by "Institutional Review Board" of Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh. Un-paired t test were used to examine differences between genders, correlation coefficients and linear regression equations were used to carry out the analysis. Descriptive statistics including means, standard deviations, and minimum-maximum values were calculated. Unpaired sample 't' tests were carried out to compare tooth size between the sexes. Logistic regression for development of new prediction formula on the basis of study sample of our population. Pearson correlation coefficient test for found the correlation between mandibular incisors and mandibular and maxillary canine and premolars in each quadrant. The difference between the present study with that of Moyers and Tanaka and Johnston were statistically significant (p<0.001). The values from Moyers and Tanaka and Johnston methods exceed while comparing to Bangladeshi population. Therefore, Moyers and Tanaka and Johnston method of prediction are not applicable for our population.