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Impact of orthognathic surgery on emotional expression and smile aesthetics in Chinese patients as measured by FaceReader: a before-and-after study

  • Thanapoom Boonipat (Department of Plastic and Reconstructive Surgery, Craniofacial Research Center, Chang Gung Memorial Hospital, Chang Gung University) ;
  • Jason Lin (Division of Plastic and Reconstructive Surgery, Department of Surgery, Saint Louis University) ;
  • Sai Cherukuri (Division of Plastic and Reconstructive Surgery, Department of Surgery, Mayo Clinic) ;
  • Zhi Yang Ng (Department of Plastic and Reconstructive Surgery, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust) ;
  • Eugene Yu-Jen Chen (Department of Plastic and Reconstructive Surgery, Craniofacial Research Center, Chang Gung Memorial Hospital, Chang Gung University) ;
  • Chuan-Fong Yao (Department of Plastic and Reconstructive Surgery, Craniofacial Research Center, Chang Gung Memorial Hospital, Chang Gung University)
  • Received : 2025.02.06
  • Accepted : 2025.06.20
  • Published : 2025.06.20

Abstract

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.

Keywords

Acknowledgement

We would like to thank the Department of Plastic and Reconstructive Surgery and the Craniofacial Center, Chang Gung Memorial Hospital, Taiwan for the administrative support for this work.

References

  1. Reis GM, de Freitas DS, Oliveira RC, de Oliveira RC, Pinzan-Vercelino CR, Freitas KM, et al. Smile attractiveness in class III patients after orthodontic camouflage or orthognathic surgery. Clin Oral Investig 2021;25:6791-7. https://doi.org/10.1007/s00784-021-03966-w
  2. Isiksal E, Hazar S, Akyalcin S. Smile esthetics: perception and comparison of treated and un-treated smiles. Am J Orthod Dentofacial Orthop 2006;129:8-16. https://doi.org/10.1016/j.ajodo.2005.07.004
  3. Kim YJ, Lee BK. Recent trends in orthognathic surgery in Asia. Facial Plast Surg Clin North Am 2021;29:549-66. https://doi.org/10.1016/j.fsc.2021.06.006
  4. Bell R, Kiyak HA, Joondeph DR, McNeill RW, Wallen TR. Perceptions of facial profile and their influence on the decision to undergo orthognathic surgery. Am J Orthod 1985;88:323-32. https://doi.org/10.1016/0002-9416(85)90132-0
  5. Jesani A, DiBiase AT, Cobourne MT, Newton T. Perceived changes by peer group of social impact associated with combined orthodontic-surgical correction of class III malocclusion. J Dent 2014;42:1135-42. https://doi.org/10.1016/j.jdent.2014.05.002
  6. Patcas R, Bernini DA, Volokitin A, Agustsson E, Rothe R, Timofte R. Applying artificial intel-ligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age. Int J Oral Maxillofac Surg 2019;48:77-83. https://doi.org/10.1016/j.ijom.2018.07.010
  7. Skiendziel T, Rosch AG, Schultheiss OC. Assessing the convergent validity between the au-tomated emotion recognition software Noldus FaceReader 7 and Facial Action Coding System Scoring. PLoS One 2019;14:e0223905. https://doi.org/10.1371/journal.pone.0223905
  8. van der Schalk J, Hawk ST, Fischer AH, Doosje B. Moving faces, looking places: validation of the Amsterdam Dynamic Facial Expression Set (ADFES). Emotion 2011;11:907-20. https://doi.org/10.1037/a0023853
  9. Cootes TF, Edwards GJ, Taylor CJ. Active appearance models. Heidelberg; 1998.
  10. Boonipat T, Asaad M, Lin J, Glass GE, Mardini S, Stotland M. Using artificial intelligence to measure facial expression following facial reanimation surgery. Plast Reconstr Surg 2020;146:1147-50. https://doi.org/10.1097/PRS.0000000000007251
  11. Boonipat T, Asaad M, Lin J, Glass GE, Mardini S, Stotland M. Reply: using artificial intelli-gence to measure facial expression following facial reanimation surgery. Plast Reconstr Surg 2022;149:345e-346e. https://doi.org/10.1097/PRS.0000000000008757
  12. Boonipat T, Hebel N, Robertson C, Bakri K, Bradley E, Amer H, et al. Reply: using artificial intelligence to measure facial expression following facial reanimation surgery. Plast Reconstr Surg 2022;149:594e-595e. https://doi.org/10.1097/PRS.0000000000008867
  13. Boonipat T, Lin J, Bite U. Detection of baseline emotion in brow lift patients using artificial intelligence. Aesthetic Plast Surg 2021;45:2742-8. https://doi.org/10.1007/s00266-021-02430-0
  14. Boonipat T, Yan M, Bite U. Artificial intelligence for evaluation of emotions behind face masks. Plast Reconstr Surg 2023;151:354e-356e. https://doi.org/10.1097/PRS.0000000000009878
  15. Hebel NS, Boonipat T, Lin J, Shapiro D, Bite U. Artificial intelligence in surgical evaluation: a study of facial rejuvenation techniques. Aesthet Surg J Open Forum 2023;5:ojad032. https://doi.org/10.1093/asjof/ojad032
  16. Zhu A, Boonipat T, Cherukuri S, Bite U. Defining standard values for facereader facial ex-pression software output. Aesthetic Plast Surg 2024;48:785-92. https://doi.org/10.1007/s00266-023-03468-y
  17. Zhu A, Boonipat T, Cherukuri S, Lin J, Bite U. How brow rotation affects emotional expres-sion utilizing artificial intelligence. Aesthetic Plast Surg 2023;47:2552-60. https://doi.org/10.1007/s00266-023-03615-5
  18. Yan A, Chen YR. Orthognathic surgery to enhance the smile. Clin Plast Surg 2023;50:81-9. https://doi.org/10.1016/j.cps.2022.07.001
  19. Ekman P, Friesen W. Facial action coding system: a technique for the measurement of facial movement. Consulting Psychologists Press; 1978.
  20. Kabalan RM, Tayyar RK, Khattab TZ, Hajeer MY. Characteristics and dynamics of smile in patients with skeletal class II malocclusion versus class I malocclusion using still digital video captures: a three-group, cross-sectional, comparative study. Cureus 2022;14:e30704. https://doi.org/10.7759/cureus.30704
  21. Xue Z, Ye G, Qiu T, Liu X, Wang X, Li Z. An objective, quantitative, dynamic assessment of facial movement symmetry changes after orthognathic surgery. Int J Oral Maxillofac Surg 2023;52:272-81. https://doi.org/10.1016/j.ijom.2022.06.004
  22. Klassen AF, Cano SJ, Schwitzer JA, Scott AM, Pusic AL. FACE-Q scales for health-related quality of life, early life impact, satisfaction with outcomes, and decision to have treatment: development and validation. Plast Reconstr Surg 2015;135:375-86. https://doi.org/10.1097/PRS.0000000000000895
  23. Ching S, Thoma A, McCabe RE, Antony MM. Measuring outcomes in aesthetic surgery: a comprehensive review of the literature. Plast Reconstr Surg 2003;111:469-82. https://doi.org/10.1097/00006534-200301000-00085
  24. Lo LJ, Yang CT, Chiang WC, Lin HH. A quantitative method for the assessment of facial at-tractiveness based on transfer learning with fine-grained image classification. Pattern Recognit 2024;145:109970. https://doi.org/10.1016/j.patcog.2023.109970
  25. Zhang MM, Di WI, Song T, Yin NB, Wang YQ. Exploring artificial intelligence from a clini-cal perspective: a comparison and application analysis of two facial age predictors trained on a large-scale Chinese cosmetic patient database. Skin Res Technol 2023;29:e13402. https://doi.org/10.1111/srt.13402
  26. Posnick JC, Kinard BE. Orthognathic surgery has a significant positive effect on perceived personality traits and perceived emotional expressions in long face patients. J Oral Maxillofac Surg 2019;77:408.
  27. Posnick JC, Kinard BE. Orthognathic surgery has a significant positive effect on perceived personality traits and perceived emotional facial expressions in subjects with primary mandibular deficiency. J Craniofac Surg 2019;30:2337-40. https://doi.org/10.1097/SCS.0000000000005915
  28. Tosun H, Kaya B. Effect of maxillary incisors, lower lip, and gingival display relationship on smile attractiveness. Am J Orthod Dentofacial Orthop 2020;157:340-7. https://doi.org/10.1016/j.ajodo.2019.04.030
  29. Pinzan-Vercelino CR, Costa AC, Ferreira MC, Bramante FS, Fialho MP, Gurgel JA. Compari-son of gingival display in smile attractiveness among restorative dentists, orthodontists, prosthodontists, periodontists, and lay people. J Prosthet Dent 2020;123:314-21. https://doi.org/10.1016/j.prosdent.2019.03.023
  30. Pourtaheri N, Peck CJ, Gowda A, Parsaei Y, Allam O, Patel VK, et al. Perceived age and per-sonality profiling after orthognathic surgery. Plast Reconstr Surg 2022;150:146-54. https://doi.org/10.1097/PRS.0000000000009229