Non-Surgical Rhinoplasty Using Hyaluronic Acid Fillers: Techniques and Patient Satisfaction: A Scientific Literature Review
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Background: Non-surgical rhinoplasty (NSR) using hyaluronic acid (HA) fillers has become a prominent minimally invasive alternative to traditional surgical rhinoplasty, driven by patient demand for immediate, reversible results with minimal downtime. This review synthesizes contemporary literature (2015–2025) on NSR, focusing on injection techniques, efficacy, safety profiles, patient satisfaction, psychological considerations, and future research directions in aesthetic medicine.Methods: A systematic literature search was conducted using PubMed, Scopus, Web of Science, and Google Scholar for peer-reviewed articles published between 2015 and 2025. Search terms included "non-surgical rhinoplasty," "hyaluronic acid fillers," "patient satisfaction," and "aesthetic medicine." Studies were selected based on relevance to NSR techniques, outcomes, complications, and psychological factors. Data were analyzed for methodological rigor, consistency, and clinical applicability.Results: NSR demonstrates high patient satisfaction rates (84.7–100% across studies), attributed to effective techniques like the Rino-4-Puntos (R4P) method and HA’s reversibility with hyaluronidase. Longevity ranges from 6 to 18 months, influenced by filler properties and patient metabolism. Safety concerns include rare but severe vascular occlusions (0.27% incidence), necessitating profound anatomical knowledge and precise injection into the deep fatty layer. Psychological screening for Body Dysmorphic Disorder (BDD) is critical, given its 16–23% prevalence in aesthetic cohorts, as BDD patients are prone to dissatisfaction. Emerging technologies, such as artificial intelligence (AI) and regenerative therapies, promise enhanced personalization and safety.Conclusions: NSR is a safe and effective procedure when performed by experienced practitioners, offering high satisfaction and reversible outcomes. However, it requires meticulous technique, rigorous patient selection, and transparent communication of expectations. Future research should focus on standardized protocols, long-term data, and integration of AI and regenerative therapies to optimize outcomes and ensure ethical practice.