Mehwish Khan1, Syed Murtaza Raza Kazmi2, Farhan Raza Khan2, Imran Samejo3. 1. Sindh Institute of Oral Health Sciences, Jinnah Sindh Medical University, Karachi, Pakistan. khanmehwish074@gmail.com. 2. Aga Khan University & Hospital, Karachi, Pakistan. 3. Sindh Institute of Oral Health Sciences, Jinnah Sindh Medical University, Karachi, Pakistan.
Abstract
INTRODUCTION: Analysis of smile is imperative in the diagnosis and treatment planning phases of aesthetic dentistry. AIM: To evaluate the components of smile among students of a dental institution. METHODS: Frontal view digital photographs with posed smile of 157 dental students were assessed using Adobe Photoshop7.0. Smile characteristics evaluated included; smile line, smile arc, smile design, upper lip curvature, labiodental relationship and number of teeth displayed. Data were analyzed using SPSS version 23.0. Pearson chi-square test was used to determine the gender based differences for various parameters. RESULTS: Average smile line (43.3%), consonant smile arcs (45.2%), cuspid smiles (45.9%), upward lip curvature (43.9%), maxillary anterior teeth not covered by lower lip (60.5%) and teeth displayed up to first premolars (35.7%). Gender based differences were not statistically significant except for smile arc (p value = 0.02) and number of teeth displayed (p value < 0.001). There was a significant relationship between lip curvature and smile pattern (p value < 0.001) and lip curvature and smile arc (p value = 0.01) revealing that upward lip curvature was associated with commissure type smiles and consonant smile arcs. CONCLUSIONS: The smile characteristics should be considered before beginning the aesthetic treatment of the patient to obtain adequate results in oral rehabilitation.
INTRODUCTION: Analysis of smile is imperative in the diagnosis and treatment planning phases of aesthetic dentistry. AIM: To evaluate the components of smile among students of a dental institution. METHODS: Frontal view digital photographs with posed smile of 157 dental students were assessed using Adobe Photoshop7.0. Smile characteristics evaluated included; smile line, smile arc, smile design, upper lip curvature, labiodental relationship and number of teeth displayed. Data were analyzed using SPSS version 23.0. Pearson chi-square test was used to determine the gender based differences for various parameters. RESULTS: Average smile line (43.3%), consonant smile arcs (45.2%), cuspid smiles (45.9%), upward lip curvature (43.9%), maxillary anterior teeth not covered by lower lip (60.5%) and teeth displayed up to first premolars (35.7%). Gender based differences were not statistically significant except for smile arc (p value = 0.02) and number of teeth displayed (p value < 0.001). There was a significant relationship between lip curvature and smile pattern (p value < 0.001) and lip curvature and smile arc (p value = 0.01) revealing that upward lip curvature was associated with commissure type smiles and consonant smile arcs. CONCLUSIONS: The smile characteristics should be considered before beginning the aesthetic treatment of the patient to obtain adequate results in oral rehabilitation.
Authors: Sulieman S Al-Johany; Abdulaziz S Alqahtani; Fahd Y Alqahtani; Adel H Alzahrani Journal: Int J Prosthodont Date: 2011 Jan-Feb Impact factor: 1.681