Mixed dentition space analysis in Egyptian children

Abstract

This study was done to examine the applicability of the Tanaka and Johnston and Moyers' methods of prediction in Egyptian population and to develop a new prediction method for this specific population if necessary. A total of 325 Egyptian students 145 female, 180 male, mean age 14.4 years, SD±1.1 years were randomly selected from 10 preparatory and secondary schools in Mansoura city, Dakahlia governorate, Egypt during the academic year 2008-2009. The mesiodistal crown diameters of the permanent teeth were measured and compared with the predicted values derived from the Tanaka and Johnston's equations and from Moyers' probability tables at 35%, 50% and 75%. Significant sexual dimorphism was found in tooth sizes. There were significant differences between the actual measurements and that derived from the Tanaka and Johnston's equation and Moyers' tables. New linear regression equations were derived for both genders to allow accurate tooth size prediction in Egyptians. The correlation coefficients between the total mesiodistal width of the mandibular permanent incisors and that of the maxillary and mandibular canines and premolars were found to be 0.78 and 0.89 in male and 0.63 and 0.87 in female, respectively. It can be concluded that there is a limitation in the application of the Tanaka and Johnston's and Moyers' prediction methods to Egyptian population. The developed prediction equation is more accurate for predicting the mesiodistal widths of unerupted canine and premolars of Egyptian population. mixed dentition space analysis results could lead to extraction decisions that negatively alter a patient's soft-tissue facial profile 7). Moyers' probability tables and Tanaka and Johnston's equations are commonly used 8,9) as no radiographs are required, tables can be used for both the maxillary and mandibular arch estimations, and there is a fairly good accuracy despite a tendency to overestimate the size of unerupted teeth 10). The development of these two methods, however, was based on data derived from a population of Northern European descent. Therefore, the accuracy of these prediction methods may be in question when applied to a population of different ethnic origin 11) , as significant differences in tooth sizes exist among different ethnic populations 8,10,12,13). On the other hand, there are only a few published data on mixed dentition analysis for Arabic populations 5,11,14). Therefore, this study was carried out for the

Mixed dentition analysis in Libyan schoolchildren

“…These findings are similar to those reported previously for several ethnic backgrounds. [101113172223] This supports the conclusions of Buwembo and Luboga's[12] meta-analysis that mixed dentition analyses cannot be universally applied. However, the literature currently lacks studies that examine the clinical significance of the errors of tooth size prediction.…”

Evaluation of Moyer's mixed dentition space analysis in Indian children

“…The r and r 2 in our study was 0.57 and 0.25, respectively [Table 3]. These values are in agreement with the values reported in the study by Agarwal et al .,[1] and are higher than those reported in the studies by Jaroontham and Godfrey[15] (0.29 and 0.34), Durgekar and Naik[11] (0.56 and 0.25 r 2 ), and Hammad and Abdellatif[4] (0.78 and 0.89 in male and 0.63 and 0.87 in female, respectively).…”

“…[1] Different studies have shown the variations in prediction and regression equation to evaluate unerupted teeth. [1341112]…”

“…Prediction of the unerupted teeth size in mixed dentition stage is a key factor for establishing treatment plans and management of developing malocclusion. [1234] Mixed dentition space analysis (MDSA) helps in identifying the space discrepancy. MDSA also helps in determining treatment plan and assessing tooth eruption, space maintenance, space regaining, serial extraction, or for periodic evaluation.…”

“…[13411] Agarwal et al .,[1] Thimmegowda et al .,[3] Singh et al .,[12] and Durgekar and Naik[11] found different tooth size measurements, and created prediction tables for Indian children of different locations; similarly, new regression equations were developed for tooth size prediction by Hammad and Abdellatif[4] for Egyptian children, Al-Bitar et al . [6] for Jordanian population, and Toodehzaeim et al .…”