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The effect of orthognathic surgery on facial recognition algorithm analysis
Carolyn Bradford Dragon1, Bhavna Shroff1, Caroline Carrico2
1Department of Orthodontics, School of Dentistry, Virginia Commonwealth University, Richmond, Va.
Summary
Facial recognition scores decreased after orthognathic surgery, particularly for two-jaw procedures. Facial pose also impacted scores, with relaxed-to-smiling comparisons showing significant differences in similarity.
Area of Science:
- Medical imaging
- Computer vision
- Plastic surgery
Background:
- Orthognathic surgery aims to correct jaw and facial bone irregularities.
- Facial symmetry and aesthetics are key outcomes evaluated post-surgery.
- Facial recognition technology offers a novel approach to quantify post-surgical changes.
Purpose of the Study:
- To assess the efficacy of a public facial recognition API in measuring facial similarity.
- To determine the impact of orthognathic surgery on facial similarity scores.
- To identify specific surgical procedures that most significantly alter facial similarity.
Main Methods:
- Facial similarity scores were calculated using a facial recognition API for 25 patients.
- Pre- and post-surgical photographs (relaxed and smiling) were analyzed.
- Statistical analysis (Kruskal-Wallis, Wilcoxon rank-sum tests) correlated scores with surgical procedures and patient characteristics.
Main Results:
- Orthognathic surgery significantly lowered facial similarity scores in both relaxed and smiling photographs.
- Patients undergoing combined LeFort I and bilateral sagittal split osteotomy (BSSO) showed lower similarity scores than those with BSSO alone.
- Pose (relaxed vs. smiling) influenced similarity scores, especially in cross-pose comparisons.
Conclusions:
- Two-jaw orthognathic surgeries result in a greater decrease in facial similarity scores compared to single-jaw procedures.
- Facial pose is a significant factor affecting similarity score calculations.
- Facial recognition API can quantify surgical outcomes in orthognathic surgery.
