Caracterização da exposição gengival em sorriso através da análise de fotografia digital

Abstract

INTRODUCTION: Studying smile characteristics have allowed a better understanding of facial mimic’s and rehabilitation principles on several medical areas. A pleasant gingival shape has revealed to be an important factor to achieve a balanced smile. Despite that, there is no sufficient data that quantifies gingival exposure among different populations. PURPOSE: The aim of this study is to obtain further information about the gingival exposure during social smile, quantifying its differences between gender and smile line. METHODS: 178 standardized photographs were taken in 89 patients’ social smile (43 men; 46 women) with an average age of 22 years old. Groupings of each smile type were made: G1: Low Smile Line; G2: High Smile line; G3: Cupid’s bow Smile Line Quantitative analysis was performed in order to measure the following variables: (1) Philtrum height; (2) Upper Lip Thickness; (3) Smile width; (4) Gingival display; (5) Outer commissure height (6) Papilla Exhibition; (7) Lip Mobility. Statistic analysis was preformed using Student t test, Mann- Whitney U, Kruskal-Wallis and ANOVA. Correlation between variables was performed through Pearson’s correlation and a logistic regression enable to predict gingival exposure was attempted. RESULTS: G3 was the most prevalent of the all population (36,9%). Women’s higher percentage was at G2 (N=16; 37,2%) and men’s was at G3 (N=17 41,5%). Philtrum height was statistical different between men and women, as men presented a higher mean (mean=15,94; SD=2,50) than women (mean=14,47; SD=2,138). Positive correlation was found between variables and the regression model was defined with 73,8% of accuracy as it predicts low smile lines correctly in 39,3% of cases and high smile lines in 91,1% of cases. CONCLUSION: According to gingival exposure there are significant differences between men and women and between different types of smile.

Date of Award	2013
Original language	Portuguese
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Tiago Marques (Supervisor) & Filipa Bexiga (Co-Supervisor)