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Total Nasal Reconstruction Redefined: Classic Craft Meets Microsurgical Innovation.

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Summary

This study presents a successful total nasal reconstruction for Binder syndrome using a combination of traditional and microsurgical techniques, aided by AI planning. The innovative approach restored airway function and improved nasal structure after multiple prior failures.

Keywords:
Flapsmedial femoral condylemicrosurgerynasal reconstructionprefabrication

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Area of Science:

  • Plastic Surgery
  • Reconstructive Surgery
  • Biomedical Engineering

Background:

  • Binder syndrome causes congenital nasal dysplasia requiring complex reconstruction.
  • Multiple prior failed nasal reconstructions present significant surgical challenges.
  • Integrating historical techniques with modern microsurgery is crucial for complex cases.

Purpose of the Study:

  • To describe a unique case of total nasal reconstruction for severe Binder syndrome.
  • To demonstrate the successful application of AI-assisted planning in complex reconstructive surgery.
  • To highlight a multi-stage reconstructive approach combining diverse surgical methods.

Main Methods:

  • Utilized a prelaminated radial forearm free flap for nasal lining.
  • Employed a costal cartilage tripod for structural framework.
  • Reconstructed the nasal septum and airway with a vascularized medial femoral condyle flap.
  • Incorporated a delayed forehead flap for external coverage.
  • Leveraged artificial intelligence for operative planning.

Main Results:

  • Achieved a well-healed, mucosalised airway fourteen months postoperatively.
  • Demonstrated significant improvement in overall nasal structure.
  • Successfully addressed complex congenital nasal dysplasia after multiple previous interventions.

Conclusions:

  • This combined approach of historical techniques, modern microsurgery, and AI planning offers a viable solution for complex nasal reconstruction.
  • The described method successfully restored both form and function in a challenging case of Binder syndrome.
  • Further research into AI integration in reconstructive planning is warranted.