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Facelift Surgery Turns Back the Clock: Artificial Intelligence and Patient Satisfaction Quantitate Value of Procedure Type and Specific Techniques.

Authors :
Gibstein, Alexander R
Chen, Kevin
Nakfoor, Bruce
Lu, Stephen M
Cheng, Roger
Thorne, Charles H
Bradley, James P
Source :
Aesthetic Surgery Journal; Sep2021, Vol. 41 Issue 9, p987-999, 13p
Publication Year :
2021

Abstract

<bold>Background: </bold>Patients desire facelifting procedures to look younger, refreshed, and attractive. Unfortunately, there are few objective studies assessing the success of types of facelift procedures and ancillary techniques.<bold>Objectives: </bold>The authors sought to utilize convolutional neural network algorithms alongside patient-reported FACE-Q outcomes to evaluate perceived age reduction and patient satisfaction following various facelift techniques.<bold>Methods: </bold>Standardized preoperative and postoperative (1-year) images of patients who underwent facelift procedures were analyzed by 4 neural networks to estimate age reduction after surgery (n = 105). FACE-Q surveys were employed to measure patient-reported facial aesthetic outcome. We compared (1) facelift procedure type: skin-only vs superficial musculoaponeurotic system (SMAS)-plication, vs SMAS-ectomy; and (2) ancillary techniques: fat grafting (malar) vs no fat grafting. Outcomes were based on complications, estimated age-reduction, and patient satisfaction.<bold>Results: </bold>The neural network preoperative age accuracy score demonstrated that all neural networks were accurate in identifying our patients' ages (mean score = 100.4). SMAS-ectomy and SMAS-plication had significantly greater age-reduction (5.85 and 5.35 years, respectively) compared with skin-only (2.95 years, P < 0.05). Fat grafting compared to no fat grafting demonstrated 2.1 more years of age reduction. Facelift procedure type did not affect FACE-Q scores; however, patients who underwent fat grafting had a higher satisfaction with outcome (78.1 ± 8 vs 69 ± 6, P < 0.05) and decision to have the procedure (83.0 ± 6 vs 72 ± 9, P < 0.05).<bold>Conclusions: </bold>Artificial intelligence algorithms can reliably estimate the reduction in apparent age after facelift surgery. Facelift technique, like SMAS-ectomy or SMAS-plication, and specific technique, like fat grafting, were found to enhance facelifting outcomes and patient satisfaction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1090820X
Volume :
41
Issue :
9
Database :
Complementary Index
Journal :
Aesthetic Surgery Journal
Publication Type :
Academic Journal
Accession number :
151912047
Full Text :
https://doi.org/10.1093/asj/sjaa238