Innovative Non-Surgical Plastic Technique for Saddle Nose Correction: A Study on 97 Patients.
Riccardo OssannaSara Ghazanfar TehraniAlessia DallatanaSima KhabouriSheila VeroneseAndrea SbarbatiMario GoisisPublished in: Journal of clinical medicine (2024)
Background: Non-surgical rhinoplasty is one of the best choices in mild cases of the saddle nose, and it represents a solution for the aesthetical amelioration of facial deformity; nevertheless, in most critical cases, surgical intervention is still required. This study reports the experience and results of a single facial plastic surgeon (M.G.) using a non-surgical technique for the correction of saddle noses in a large cohort of patients. Methods: This retrospective study assesses all patients injected from January 2017 through October 2023 in private clinics in Milan (Italy), London (UK), and Dubai (UAE). All patients were followed up for 12 months. The harvested adipose tissues were processed with different systems and with or without acoustic wave therapy (AWT). The extracted products have been characterized in terms of cellular yield and cell growth. Ninety-seven patients were injected with adipose-derived products or hyaluronic acid (HA). Patients were followed up for 12 months, and satisfaction data were analyzed. Results: The stem cells obtained from the patients who previously received AWT displayed a statistically higher cell growth ability in comparison with those of the cells derived from patients who did not receive AWT. The evolution of patient satisfaction during the time for each group of treatment was investigated, and cellular treatments show the best maintenance of patient satisfaction over time. Conclusions: Dermgraft and AWT approaches resulted in the highest patient satisfaction for the non-surgical correction of the saddle nose deformity.
Keyphrases
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- stem cells
- ejection fraction
- patient satisfaction
- prognostic factors
- randomized controlled trial
- type diabetes
- healthcare
- artificial intelligence
- deep learning
- high resolution
- soft tissue
- minimally invasive
- high speed
- single molecule
- endoplasmic reticulum stress
- solid state