Original Article
Author Details :
Volume : 7, Issue : 2, Year : 2023
Article Page : 90-93
https://doi.org/10.18231/j.jco.2023.016
Abstract
Objective: To evaluate the soft tissue chin thickness using different points on lateral cephalogram. To evaluate the lip thickness using different points on lateral cephalogram. To find correlation between soft tissue thickness and lip thickness in different mandibular divergence patterns.
Materials and Methods: The sample size consisted of 120 lateral cephalogram of subjects who had not undergone orthodontic treatment. Lateral cephalogram of 120 subjects was divided under 3 groups based on mandibular divergence into low angle, medium angle and high angle cases. The changes observed in three groups were assessed using the ANOVA test and Posthoc Bonferroni test.
Results: 120 samples were collected according to the inclusion and exclusion criteria and cephalometric analysis was done. The correlation of the Mandibular Divergence and the soft tissue upper lip thicknessis statistically significant with a test value of 3.378 and a p value of 0.037. The correlation of the Mandibular Divergence and the soft tissue lower lip thickness is not statistically significant. The correlation of Mandibular divergence and soft tissue chin thickness at anterior part pog-pog is not statistically significant. The correlation of Mandibular divergence and soft tissue chin thickness at Angle of the chin Gn-Gn is statistically significant. The correlation of Mandibular divergence and soft tissue chin thickness at Inferior part Me-Me is not statistically significant.
Conclusions: Soft tissue chin thickness was not uniform at all levels of chin.
Keywords: Chin, lip thickness, Cephalometric
How to cite : Pujari K, Jatania A, Tiwari A, Evaluation of soft tissue chin thickness and lip thickness in different mandibular divergence patterns in Maratwada population-A cephalometric study. J Contemp Orthod 2023;7(2):90-93
This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International, which allows others to remix, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
Received : 22-11-2022
Accepted : 14-03-2023
Viewed: 634
PDF Downloaded: 156