Journal of Orthodontic Science

ORIGINAL ARTICLE
Year
: 2013  |  Volume : 2  |  Issue : 4  |  Page : 124--129

A new proposed regression equation for mixed dentition analysis using the sum of permanent mandibular four incisors and first molar as a predictor of width of unerupted canine and premolars in a sample of North Indian population


Tripti Tikku, Rohit Khanna, Kiran Sachan, Akhil Agarwal, Kamna Srivastava, Pravesh Yadav 
 Department of Orthodontics and Dentofacial Orthopaedics, BBDCODS, Lucknow, Uttar Pradesh, India

Correspondence Address:
Kamna Srivastava
Department of Orthodontics and Dentofacial Orthopaedics, BBDCODS, Lucknow, Uttar Pradesh
India

Objective: The objective of this study was to establish a new regression equation for North Indian and to compare and correlate the predicted width of unerupted canine and premolars obtained from the proposed regression equation of the present study in the North Indian population sample, Moyer«SQ»s prediction table and also from Melgaco regression equation with the actual width; in order to check the applicability of various methods of mixed dentition analysis for the North Indian population. Materials and Methods: The sample consisted of 200 dental casts obtained from the North Indian patients and students which consists of 100 males and 100 females with the average age of 20.12 ± 4.70 years for males and 19.54 ± 3.16 years for females. Mesiodistal tooth widths of mandibular arch from permanent right first molar to left first molar were measured with an electronic digital caliper. Student t-test was used for comparison and Pearson«SQ»s correlation coefficient was used to correlate the actual sum and the predicted width of the permanent mandibular canines and premolars obtained from various methods. Results: The difference between the actual and predicted width was statistically insignificant using the regression equation obtained for the North Indian sample population (correlation r = 0.78) in contrast to the significant difference with predicted width obtained from Melgaco equation (r = 0.61) and Moyer«SQ»s prediction table (r = 0.42). Conclusions: A new proposed regression equation for the North Indian population was established. Amongst the three regression equations devised, the proposed regression equation formulated in the present study; gave the most accurate results confirming racial variation in tooth size. This method is considered as an easy and practical way to predict the size of unerupted canines and premolars.


How to cite this article:
Tikku T, Khanna R, Sachan K, Agarwal A, Srivastava K, Yadav P. A new proposed regression equation for mixed dentition analysis using the sum of permanent mandibular four incisors and first molar as a predictor of width of unerupted canine and premolars in a sample of North Indian population.J Orthodont Sci 2013;2:124-129


How to cite this URL:
Tikku T, Khanna R, Sachan K, Agarwal A, Srivastava K, Yadav P. A new proposed regression equation for mixed dentition analysis using the sum of permanent mandibular four incisors and first molar as a predictor of width of unerupted canine and premolars in a sample of North Indian population. J Orthodont Sci [serial online] 2013 [cited 2020 Aug 13 ];2:124-129
Available from: http://www.jorthodsci.org/article.asp?issn=2278-0203;year=2013;volume=2;issue=4;spage=124;epage=129;aulast=Tikku;type=0