RESUMO
Background: This study considers observers' reflexive responses to the rejuvenated face, and how instinctive responses relate to subjective judgment. We investigated observers' reflexive perception of faces both pre and post surgical intervention during the early stages of visual processing. Subjective character attribution for all test images was also assessed by the same observers. Method: Forty frontal facial images of 20 patients portraying the pre- and postoperative high superficial musculoaponeurotic system facelift along with variable concomitant procedures were studied. Nineteen lookzone regions were mapped post hoc onto each image. Forty observers examined the images, whereas an eye-tracking camera recorded their eye movements. Visual fixation data were recorded and analyzed. Observers also rated each image on the basis of five elemental positive character attributes. Results: A statistically coherent but nonsignificant (P > 0.05) trend was identified with the surgical intervention resulting in greater attention being paid to the central triangle region of the face with reduction in attention to the facial periphery. Facial rejuvenation significantly increased the subjective character ratings of all five positively valenced attributes tested. Average age estimate of the photos decreased significantly from 54 to 48.6 years (true average age of 57.4 years). Conclusions: We provide data illustrating both reflexive and subjective responses to facial rejuvenation. Observers reported a more favorable impression of the treated faces and evaluated them as being younger than their true age. A trend was detected for increased visual fixation of the central facial region following rejuvenation. Interpretation of these findings and indication for further research is provided.
RESUMO
Background: Aesthetic facial surgeries historically rely on subjective analysis in determining success; this limits objective comparison of surgical outcomes. Objectives: This case study exemplifies the use of an artificial intelligence software on objectively analyzing facial rejuvenation techniques with the aim of reducing subjective bias. Methods: Retrospectively, all patients who underwent facial rejuvenation surgery with concomitant procedures from 2015 to 2017 were included (n = 32). Patients were categorized into Groups A to C: Group A-10 superficial musculoaponeurotic system (SMAS) plication facelift (n = 10), Group B-SMASectomy facelift (n = 7), and Group C-high SMAS facelift (n = 15). Neutral repose images preoperatively and postoperatively (average >3 months) were analyzed using artificial intelligence for emotion and action unit alterations. Results: Postoperatively, Group A experienced a decrease in happiness by 0.84% and a decrease in anger by 6.87% (P >> .1). Group B had an increase in happiness by 0.77% and an increase in anger by 1.91% (P >> .1). Both Group A and Group B did not show any discernable action unit patterns. In Group C, the lip corner puller AU increased in average intensity from 0% to 18.7%. This correlated with an average increase in detected happiness from 1.03% to 13.17% (P = .008). Conversely, the average detected anger decreased from 14.66% to 0.63% (P = .032). Conclusions: This study provides the first proof of concept for the use of a machine learning software application to objectively assess various aesthetic surgical outcomes in facial rejuvenation. Due to limitations in patient heterogeneity, this study does not claim one technique's superiority but serves as a conceptual foundation for future investigation.
