40. Annual Meeting of the European Academy of Facial Plastic Surgery 2019, Amsterdam, Netherlands, 18 - 21 September 2019, pp.3
Purpose: We aimed to define an objective and applicable method to evaluate rhinoplasty outcome. Light mapping of the nasal surface has been created with the help of simple software that measures the brightness of the pixels. We built a nasal surface light map which is based on the frontal picture of the good-looking noses. We evaluated the applicability of the method to rhinoplasty practice.
Methods: Twelve good looking noses has been selected by SCHNOS. Subjects with high SCHNOS scores were included in the study. Digital Color MeterÒin MacOS XÒwas used for measuring the brightness of the subunits of the nose. Nose subunits and polygons were overlapped with frontal pictures of patients. Brightness of the polygon and subunit were calculated for each nose. Results were statistically analysed by SPSS software for correlation.
Results: We demonstrated the light map of the nasal surface in the patients with good-looking noses. There was a significant correlation between the subunits.
Conclusion: Our study presents the results of a simple method of measuring the light reflections of the subunits of the nose. We created the surface light map of beautiful natural noses under certain light conditions. Good looking noses had same related subunit or polygon light measures which may be attributed to the characteristics of bony and cartilagenous skeleton.
Key Words: light reflections, nasal surface, rhinoplasty.