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Exploring Facial Asymmetry Metrics Correlated with Pre-operative SCHNOS Scores Using AI.

Haoge Huang1, Cherian Kurian Kandathil1, Lianji Xu1,2

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Summary

Vertical midfacial asymmetry may influence nasal function, but overall facial asymmetry has little effect on perceived nasal aesthetics. AI-powered facial analysis shows promise for rhinoplasty evaluations.

Keywords:
AIFacial asymmetryPatient Reported Outcome MeasuresSCHNOS-CSCHNOS-Orhinoplasty

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Area of Science:

  • Facial plastic surgery
  • Rhinoplasty
  • AI in medicine

Background:

  • Facial asymmetry is frequently underestimated in nasal function and aesthetic evaluations.
  • It can significantly impact outcomes in facial plastic surgery.

Purpose of the Study:

  • To identify facial asymmetry metrics using AI that correlate with nasal function and aesthetics.
  • To evaluate pre-operative SCHNOS Scores (شکایت بیمار از بینی و صورت) in relation to facial asymmetry.

Main Methods:

  • Applied two AI facial landmark detection models to 1,523 patient images.
  • Computed over 64 million facial elements, calculating asymmetry indexes.
  • Used Spearman correlation to analyze associations between asymmetry metrics and 13 outcome scores.

Main Results:

  • Found modest, statistically significant correlations between vertical facial height asymmetry and nasal function (SCHNOS-O scores).
  • Vertical asymmetry metrics showed correlations ranging from 0.185 to 0.224 (p < 10⁻¹¹).
  • No significant correlations were found with aesthetic outcome scores (SCHNOS-C).

Conclusions:

  • Vertical midfacial asymmetry may impact nasal function, but not aesthetic perception.
  • AI-based facial analysis is a potentially valuable tool for rhinoplasty assessments.
  • Facial asymmetry has minimal influence on patients' perception of nasal aesthetics.