Thanapoom Boonipat

Background: The attractiveness of a person’s smile is influenced by several factors, including gingival display, incisor show, and facial asymmetries. Malocclusion has long been recognized as having a significant negative impact on smile aesthetics. Addressing dentofacial deformities is a major treatment goal in orthodontic and orthognathic interventions, aiming to improve both functional and aesthetic outcomes. We sought to quantify and assess the impact of orthognathic surgery on a patient’s expression of happiness within their smile, thereby addressing the current research gap in this highly subjective field.Methods: We utilized FaceReader, a commercially available and previously validated artificial intelligence (AI) system, to analyze preoperative and postoperative facial photographs of 216 Chinese patients who underwent orthognathic surgery between January 1, 2021, and December 31, 2022. The AI software measures seven cardinal emotions and associated facial action units, providing an objective evaluation of emotional outcomes.Results: Our findings indicated a significant postoperative increase in patients’ expression of “happiness” while smiling, accompanied by a concurrent decrease in their estimated age. Patients with insufficient incisor show and open bite exhibited notable improvements in emotional expression, while those with a gummy smile showed no significant change. Additionally, stratification based on malocclusion classification (class I, II, III) revealed consistent improvements in emotional outcome scores among class II and III patients.Conclusion: Our findings underscore the potential of AI in providing objective insights into emotional changes following orthognathic surgery.

Background: Ideal methods for double-eyelid crease creation in Asian upper eyelids remain controversial because of the complexity of the Asian upper eyelid anatomy. Key issues include the underestimation of tarsal height and the septum/aponeurosis fusion point height (FPH), which may underlie the unnaturally high creases in many classic double-eyelid procedures. Methods: A total of 1272 patients had tarsal heights measured. Among 386 patients with orbital septa opened, FPHs and other anatomic findings were documented. Based on the anatomic findings, a novel method for double-eyelid crease formation was designed. This method involves preserving the pretarsal fibrofatty tissue and using horizontal mattress sutures to connect the orbicularis oculi muscle, through the pretarsal fibrofatty tissue and levator aponeurosis, to the pretarsal membrane (MAP method) as the linkage mechanism. Results: Tarsal height levels were higher than reported in many previous studies. In the supine position, all FPHs were higher than the tarsi. Eyelid creases using the MAP method are created below the superior tarsal edges at varying heights, accommodating individual patient requests while achieving well-formed creases and improved eyelid mechanics. The recovery was brief, and the results were long-lasting with a minimal failure rate. Conclusions: Tarsal heights and FPHs are not as low as previously thought, which could explain why many classic surgical procedures have various issues. The proposed MAP method for Asian double-eyelid blepharoplasty allows for conservative crease-height adjustability with results that are dynamic, natural, and durable. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.

Eye-tracking technology was used to assess aesthetic surgical outcomes in transgender and gender diverse patients who are assigned female at birth and who seek gender affirming chest surgery. Post-surgery, observers focused more on scars than on the nipple-areolar complex. Ratings for similarity to cis-male chests significantly increased. This series highlights the objective evaluation of visual perception and masculinity assessments using eye-tracking.

Background: The perceptual response to aging changes in the periorbital region and the effects of surgical rejuvenation on that response have not been elucidated. The authors examined the reflexive visual response to periorbital aging before and after brow lift and upper blepharoplasty surgery and investigated how observers’ character attributions of the images were affected by the rejuvenative intervention. Methods: Preoperative and postoperative photographs were obtained of patients with brow ptosis and dermatochalasis who underwent brow lift and blepharoplasty. Forty observers examined each image while an infrared eye-tracking camera continuously recorded their eye movements. The observers rated the images with respect to character attributes (attractiveness, trustworthiness, sociability, healthiness, and capability) on a scale of one to seven. Results: Fourteen patients who underwent brow lift and blepharoplasty were identified and studied. The surgical intervention was found to increase observers’ attention to the eye and brow region, while decreasing relative attention to the forehead and lower eyelid areas; increase the two-dimensional surface area of the forehead and eye and brow zones in a manner directly associated with the measured changes in visual attention; and significantly increase the ratings for all five positively valanced character attributes compared with preoperative controls. Conclusions: The authors provide an important combination of explicit and implicit data illustrating how surgical rejuvenation unveils the periorbital region to the observer. This change in pattern of inspection was associated with an improvement in the perception of character.

Background The widespread popularity of browlifts and blepharoplasties speaks directly to the importance that patients place on the periorbital region of the face. In literature, most esthetic outcomes are based on instinctive analysis of the esthetic surgeon, rather than on patient assessments, public opinions, or other objective means. We employed an artificial intelligence system to objectively measure the impact of brow lifts and associated rejuvenation procedures on the appearance of emotion while the patient is in repose. Methods We retrospectively identified all patients who underwent bilateral brow lift for visual field obstruction between 2006 and 2019. Images were analyzed using a commercially available facial expression recognition software package (FaceReader™, Noldus Information Technology BV, Wageningen, Netherlands). The data generated reflected the proportion of each emotion expressed for any given facial movement and the action units associated. Results A total of 52 cases were identified after exclusion. Pre-operatively, the angry, happy, sad, scared, and surprised emotion were detected on average of 13.06%, 1.68%, 13.06%, 3.53%, and 0.97% among all the patients, respectively. Post-operatively, the angry emotion average decreased to 5.42% (p=0.009). The happy emotion increased to 9.35% (p=0.0013), while the sad emotion decreased to 5.42%. The scared emotion remained relatively the same at 3.4%, and the surprised emotion increased to 2.01%; however, these were not statistically significant. Conclusion This study proposes a paradigm shift in the clinical evaluation of brow lift and other facial esthetic surgery, implementing an existing facial emotion recognition system to quantify changes in expression associated with facial surgery. Level of Evidence IV This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

Purpose: Examining the outcomes and progression of face transplants has expanded to include the recent advancements in artificial intelligence. This novel methodology has allowed for the objective exploration of emotional expression. To our knowledge, this examined emotional expression has yet to be correlated to the hypothesized functioning of the allograft. We have combined the result of the AI software with a software analyzing smile excursion; demonstrating the progression of the allograft in our face transplant patient. This study helps illuminate the software possibilities for objective measures in transplant progression. Methods: Images were analyzed from our face transplant patient post-operatively at approximately 6-month intervals for four years. The still images for each time interval include both a neutral facial expression and a full-face smile with teeth. The images were taken from video clips of the patient and then analyzed using the FACEgram software (Hadlock & Urban, 2012). The measurements of the smile excursion were standardized based off of the pupil diameter and excursion was measured relative to the neutral expression of each time period. The emotional expression data was acquired using FaceReader AI software from Noldus Information Technology (Wageningen, The Netherlands). The emotional analysis was done on 2 second clips from clinical videos of the patient, the same videos used for the still images. This data was correlated with the smile excursion measurements. Results: The post-operative smile excursion analysis from 6 to 49 months demonstrated a near double in smile excursion from 3.58mm to 6.04mm. The smile excursion data has a squared correlation of 0.705; a strong upward linear trend of excursion. From 6 to 35 months, the happy emotion increased gradually from 0% to 15.8% (49-month data unavailable). Performed correlative analysis showed a positive correlation coefficient of 0.63. This moderate to strong correlation demonstrates the intuitive relationship of happy emotion and lip excursion during full face smiling. The findings also substantiate the AI software’s detection of increasing activity in the lip corner puller action unit from zero to 3/5 intensity over the same period. Conclusion: This study demonstrates the correlation of smile excursion to happy emotional expression in our face transplant patient. The correlation square of the lip excursion shows a trend of increased functioning of the allograft over time; substantiating the AI’s finding. This data provides evidence for the use of artificial intelligence as a measure of transplant strength progression. The conjoined analysis of patient images and videos has supported proof for the ability to analyze transplant healing progression and efficacy in an objective form. Hadlock, T. A., & Urban, L. S. (2012). Toward a Universal, Automated Facial Measurement Tool in Facial Reanimation. Archives of Facial Plastic Surgery,14(4). doi:10.1001/archfacial.2012.111