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Smile analysis in different facial patterns and its correlation with underlying hard tissues
Neha Grover1, D N Kapoor, Santosh Verma
1Nora Medical Polyclinics, Tower 4. Marks and Spencer Building, No. 106, Abu Dhabi, United Arab Emirates, Ortho.neha@gmail.com.
Facial growth patterns significantly influence smile characteristics, with distinct differences observed between males and females. Vertical growth patterns increase vertical smile dimensions while decreasing transverse dimensions.
Area of Science:
- Dentofacial Orthopedics
- Orthodontics
- Facial Growth Analysis
Background:
- Inherent facial growth patterns can significantly affect smile aesthetics.
- Discrepancies in maxillary growth, particularly vertical growth, can alter the relationship between the occlusal plane and lower lip curvature during smiling.
- Understanding the influence of growth patterns and underlying hard tissues on smile characteristics is crucial for orthodontic and aesthetic evaluations.
Purpose of the Study:
- To compare smile characteristics across different facial growth patterns.
- To identify and analyze any sexual dimorphism in smile parameters.
- To correlate specific smile features with underlying hard tissue cephalometric measurements.
Main Methods:
- A sample of 150 individuals aged 17-25 years was selected.
- Lateral cephalometric radiography and videography were used to capture facial structure and posed smiles.
- Subjects were categorized into horizontal, average, and vertical growth patterns based on cephalometric analysis.
Main Results:
- Males exhibited significantly higher mean smile parameters than females across all growth patterns.
- Vertical facial growth patterns were associated with increased incisal display, interlabial gap, and occlusal plane angle.
- Vertical growers showed increased vertical dimension parameters and decreased transverse dimension parameters, including posterior corridors.
Conclusions:
- Facial growth patterns exert a significant influence on smile parameters.
- Sexual dimorphism is evident in smile characteristics.
- Most angular and linear cephalometric parameters, with exceptions, were found to influence smile characteristics.
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