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Classification of Alar Dynamic Aesthetic in an Asian Female Population: Experts or Automatic Algorithms?
Yehong Zhong1,2, Sizheng Zhou1, Aiguo Xie1
1Department of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Aesthetic Plastic Surgery
|September 21, 2022
Summary
This study classifies alar dynamic aesthetics using subjective and objective methods to guide alarplasty surgical strategies. Results provide quantitative parameters for treatment recommendations, from non-invasive options to surgery.
Area of Science:
- Plastic Surgery
- Aesthetic Medicine
- Facial Analysis
Background:
- Alar dynamic aesthetics are crucial for facial harmony.
- Objective and subjective methods are needed for alarplasty surgical planning.
Purpose of the Study:
- To classify alar dynamic aesthetics using both subjective and objective perspectives.
- To establish referenced classifications for determining alarplasty surgical strategies.
Main Methods:
- 150 Asian females underwent 3D surface imaging during resting and smiling.
- Subjective classification by plastic surgeons and objective classification using machine learning (clustering analysis).
- Assessment of alar flaring and base mobility changes between poses.
Main Results:
- Subjective classification: Class I, II, III for alar flaring (6.78%, 10.35%, 18.68%) and alar base mobility (12.71%, 20.06%, 30.86%).
- Objective classification: Class I, II, III for alar flaring (7.01%, 11.18%, 12.72%) and alar base mobility (9.07%, 21.88%, 38.59%).
- No significant difference found between subjective and objective classification methodologies.
Conclusions:
- Established classifications for alar dynamic aesthetics aid alarplasty.
- Class I: no treatment; Class II: optional minimally invasive treatments; Class III: recommended surgical treatments.
- Combining subjective and objective methods enhances facial aesthetic classification reliability.
