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. 2013 Jul-Sep;31(3):135-40.
doi: 10.4103/0970-4388.117962.

Applicability of regression equation using widths of mandibular permanent first molars and incisors as a predictor of widths of mandibular canines and premolars in contemporary Indian population

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Applicability of regression equation using widths of mandibular permanent first molars and incisors as a predictor of widths of mandibular canines and premolars in contemporary Indian population

Shalin Shah et al. J Indian Soc Pedod Prev Dent. 2013 Jul-Sep.

Abstract

Background: Predicting the size of unerupted teeth during the mixed dentition period is a critical factor in managing the developing occlusion. Different studies found that the combined width of only the four mandibular permanent incisors is not a good predictor of the sum of unerupted mandibular permanent canines and premolars (SPCP). In 2007, Melgaço et al. developed a new method for SPCP by measuring the sum of the mandibular first permanent molars and four mandibular permanent incisors (SMI).

Aim: It was aimed to evaluate the accuracy of this new method in comparison with Moyers' mixed dentition analysis table in contemporary Indian population.

Settings and design: Sixty boys and 60 girls from Gandhinagar district (age ranged from 12 to 14 years) were included.

Materials and methods: The mesiodistal crown widths of all fully erupted teeth were measured with digital vernier callipers and the odontometric values obtained were then subjected to statistical and linear regression analysis.

Results: Student's unpaired t-test gave statistically significant difference between the original values of teeth and the values obtained by Melgaço's prediction equation as well as Moyers' mixed dentition analysis table (P < 0.001). High values of correlation (r = 0.77) and determination coefficients (r2 = 0.59) were found while considering Melgaço's method. Also, no statistically significant difference was found between the tooth sizes of males and females.

Conclusion: From this study, it can be evaluated that Melgaço's method gives better prediction and a simplified equation Y = 0.925X can be suggested for the present population.

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