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Nasal Reconstruction Using a Synthetic Dermal Substitute: An Updated Algorithm and Clinical Outcomes
Alexandra L Martinez1, James F Thornton
1Department of Plastic Surgery, UT Southwestern Medical Center, Dallas, TX.
The Journal of Craniofacial Surgery
|June 29, 2026
Summary
NovoSorB Biodegradable Temporizing Matrix (BTM) is a safe and versatile synthetic option for nasal reconstruction across all subunits. It offers low complication rates and aids in various reconstructive approaches, supporting an updated algorithm.
Area of Science:
- Plastic Surgery
- Regenerative Medicine
- Biomaterials
Background:
- Nasal reconstruction presents significant challenges due to anatomical complexity and functional/aesthetic demands.
- Established techniques like paramedian forehead flaps have limitations.
- Synthetic dermal substitutes are emerging as valuable tools, but their use in nasal reconstruction requires further investigation.
Purpose of the Study:
- To evaluate the clinical outcomes of nasal reconstruction using NovoSorb Biodegradable Temporizing Matrix (BTM).
- To assess BTM's safety, efficacy, and versatility across all nasal subunits.
- To propose an updated reconstructive algorithm incorporating BTM.
Main Methods:
- Retrospective review of 67 patients undergoing nasal reconstruction with BTM by a single surgeon.
- Data collected included demographics, defect characteristics, operative details, complications, healing time, and secondary procedures.
- Outcomes were analyzed descriptively with an average follow-up of 3.2 months.
Main Results:
- The mean defect size was 4.68 cm², with 17.9% involving nasal lining.
- Overall complication rate was 7.46% (1 infection, 4 delayed healing).
- 17.9% required secondary procedures, and 19% had in-office aesthetic refinement.
Conclusions:
- NovoSorB Biodegradable Temporizing Matrix (BTM) is a safe and versatile adjunct for nasal reconstruction.
- It demonstrates low complication rates, good contour preservation, and reliable healing.
- BTM can be integrated as a definitive, temporizing, or adjunctive option in an updated reconstructive algorithm.