Analysis of different characteristics of smile

Mehwish Khan, Syed Murtaza Raza Kazmi, Farhan Raza Khan, Imran Samejo

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


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.

Original languageEnglish
Article number6
JournalBDJ Open
Issue number1
Publication statusPublished - 1 Dec 2020


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