Subscribe to RSS
DOI: 10.1055/a-2486-6910
Morphing of the Frontal View: Rhinoplasty as a Surface Contour Operation
Abstract
Frontal view morphing is needed for better preoperative consultation and simulation process in rhinoplasty. Restoration of the correct light–shadow interactions in rhinoplasty demands a firm appreciation of the underlying nasal structures. Chiaroscuro is a painting technique of dark and light contrasts that can be utilized in the morphing process, enabling the surgeon to explain possible results. Patients undergoing surgery in 2019. Encounters were divided into three. First visit: history taking, a list of desires and physical examination, photography. Second visit: photo analysis was presented as well as the hypothesis of correction expressed by morphing (morphing with Adobe Photoshop software). We termed the differences between light and shade of the lateral nasal walls, the dorsum and the brow dome line and nose cheek line as the “Chiaroscuro of the nose.” This term is significant in the process of morphing of the frontal view. We used this method of morphing in the simulation process of 126 patients. The age range was 15 to 59 years old. A total of 67% (84) were females and 33% (42) were males. A total of 43% (54) of the cases were revision cases. At the postoperative visits, all patients were more satisfied with their operative result than with their “morphed” simulation. The chiaroscuro concept of the nose is an essential step in the analysis and morphing processes of the frontal view, and a logical tool in creating a realistic surgical game plan. The morphing of the frontal view enables the surgeon and patients to discuss the possible result with more details and refinements. Morphing may be a good option to educate young surgeons in both preoperative consultation and at the operating theater.
Keywords
preoperative simulation - rhinoplasty - chiaroscuro painting - rhinoplasty morphing frontal view - simulation and morphing in rhinoplastyPublication History
Accepted Manuscript online:
26 November 2024
Article published online:
08 January 2025
© 2025. Thieme. All rights reserved.
Thieme Medical Publishers, Inc.
333 Seventh Avenue, 18th Floor, New York, NY 10001, USA
-
References
- 1 Nellis JC, Ishii M, Bater KL. et al. Association of rhinoplasty with perceived attractiveness, success, and overall health. JAMA Facial Plast Surg 2018; 20 (02) 97-102
- 2 Papel ID, Schoenrock LD. Computer imaging. In: Papel ID, Nachlas NE. eds. Facial Plastic and Reconstructive Surgery. St Louis (MO): Mosby Year Book; 1992: 110-115
- 3 Pietro P, Iman K, Irina V. Aesthetic rhinoplasty as a surface-contour operation: from analysis to surgery-personal concepts. Facial Plast Surg 2016; 32 (06) 587-598
- 4 Kiranantawat K, Nguyen AH. Asian rhinoplasty: preoperative simulation and planning using Adobe Photoshop. Semin Plast Surg 2015; 29 (04) 232-246
- 5 Ewart CJ, Leonard CJ, Harper JG, Yu J. A simple and inexpensive method of preoperative computer imaging for rhinoplasty. Ann Plast Surg 2006; 56 (01) 46-49
- 6 Çakır B, Öreroğlu AR, Daniel RK. Surface aesthetics and analysis. Clin Plast Surg 2016; 43 (01) 1-15
- 7 Palma P, Khodaei I, Tasman A-J. A guide to the assessment and analysis of the rhinoplasty patient. Facial Plast Surg 2011; 27 (02) 146-159
- 8 Palma P, Khodaei I. Functional and aesthetic analysis of the nose. In: Zahoor A, Morton R, Giles M. Practical Otolaryngology-Head & Neck Surgery: A Symptom-Oriented Approach. Panama City, London: Jaypee Brothers Medical Publishers; 2016: 109-121
- 9 Mühlbauer W, Holm C. Computer imaging and surgical reality in aesthetic rhinoplasty. Plast Reconstr Surg 2005; 115 (07) 2098-2104
- 10 Sharp HR, Tingay RS, Coman S, Mills V, Roberts DN. Computer imaging and patient satisfaction in rhinoplasty surgery. J Laryngol Otol 2002; 116 (12) 1009-1013
- 11 Thomas JR, Freeman MS, Remmler DJ, Ehlert TK. Analysis of patient response to preoperative computerized video imaging. Arch Otolaryngol Head Neck Surg 1989; 115 (07) 793-796
- 12 Moscatiello F, Herrero Jover J, González Ballester MA, Carreño Hernández E, Piombino P, Califano L. Preoperative digital three-dimensional planning for rhinoplasty. Aesthetic Plast Surg 2010; 34 (02) 232-238
- 13 Aksakal IA, Keles MK, Engin MS, Aydoğdu IO, Küçüker İ. Preoperative simulation in planning rhinoplasty: evaluation from patients' and surgeons' perspectives. Facial Plast Surg 2017; 33 (03) 324-328
- 14 Persing S, Timberlake A, Madari S, Steinbacher D. Three-dimensional imaging in rhinoplasty: a comparison of the simulated versus actual result. Aesthetic Plast Surg 2018; 42 (05) 1331-1335
- 15 Lekakis G, Claes P, Hamilton III GS, Hellings PW. Three-dimensional surface imaging and the continuous evolution of preoperative and postoperative assessment in rhinoplasty. Facial Plast Surg 2016; 32 (01) 88-94
- 16 Pallanch J. Introduction to 3D imaging technologies for the facial plastic surgeon. Facial Plast Surg Clin North Am 2011; 19 (04) xv-xvi , vii
- 17 Zammit D, Safran T, Ponnudurai N. et al. Step-specific simulation: the utility of 3D printing for the fabrication of a low-cost, learning needs-based rhinoplasty simulator. Aesthet Surg J 2020; 40 (06) NP340-NP345
- 18 Asaria J. Surgical training simulators for rhinoplasty: a systematic review. Facial Plast Surg 2023