The 2024 Septal Extender Revolution: Surgical Innovation and Full AI Integration in Rhinoplasty
DOI:
https://doi.org/10.70577/asce.v5i2.795Keywords:
Structural rhinoplasty; Septal extension graft; Costal cartilage; Artificial intelligence; 3D surgical planning; Surgical outcomes.Abstract
Introduction: Septal extension grafts are fundamental in structural rhinoplasty to achieve lasting nasal tip projection and stability. Surgical planning assisted by artificial intelligence (AI) is emerging as a tool to improve the predictability of these complex procedures.
Objective: To evaluate the clinical, functional, and safety outcomes of a structural rhinoplasty technique that combines a septal extension graft carved from autologous costal cartilage with AI-based 3D simulation preoperative planning.
Methods: A prospective case series study was conducted with 40 consecutive patients undergoing primary or secondary rhinoplasty. AI software was used to generate personalized three-dimensional simulations that guided graft design and placement. Outcomes were assessed using postoperative 3D photogrammetric measurements, rhinomanometry for respiratory function, and complication recording over 12 months of follow-up.
Results: A high correlation (r = 0.89) was observed between the simulated nasal tip projection and that achieved at 6 months. Respiratory function, measured by mean inspiratory nasal airflow, showed a statistically significant improvement (p < 0.001) of 90% compared to preoperative values. The overall complication rate was 5% (n = 2), with no cases of graft extrusion or rejection.
Conclusions: The integration of AI-based surgical planning in costal septal extension rhinoplasty is associated with high accuracy in achieving predefined aesthetic goals and significant improvements in respiratory function. This methodology demonstrated a favorable safety profile in this initial study. Comparative studies are required to establish its superiority over conventional planning methods.
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Copyright (c) 2026 Carlos Agustín David Parrales, Juan Francisco Quesada Chica, Kevin Alexander Meneses Guamán, Juan Carlos Lema Balla, Juan Pablo Pulgarin Medina
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