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New Classification System and Defect-Oriented Algorithm for Functional Soft-Palate Reconstruction with Buccinator
Olindo Massarelli1, Lisa Catarzi1, Guido Gabriele1
1Department of Maxillofacial Surgery, University of Siena, 53100 Siena, Italy.
Journal of Clinical Medicine
|January 8, 2025
Summary
A new classification system and algorithm for soft-palate defects using buccinator myomucosal flaps improve functional reconstruction. This approach led to favorable speech and swallowing recovery, with low donor-site morbidity in 22 patients.
Area of Science:
- Head and Neck Surgery
- Plastic and Reconstructive Surgery
- Oncology
Background:
- Current soft-palate defect classifications lack comprehensive guidance for functional reconstruction.
- Myomucosal flaps demonstrate superiority over fasciocutaneous flaps for palate reconstruction.
- A novel defect-based classification and reconstructive algorithm are proposed.
Purpose of the Study:
- Introduce a new classification system for soft-palate defects.
- Propose a reconstructive algorithm utilizing buccinator myomucosal flaps.
- Guide surgeons toward optimal functional reconstruction of the soft palate.
Main Methods:
- Soft-palate defects classified into five distinct categories.
- Buccinator myomucosal flaps (axial, island, tunnelized variants) employed for reconstruction.
- Evaluation of speech, swallowing, quality of life, and donor-site morbidity; Spearman's rank correlation used.
Main Results:
- All 22 patients achieved favorable speech and swallowing recovery (median deglutition score: 6.04 ± 0.85).
- No severe velopharyngeal insufficiency observed (speech score: 0.36 ± 0.58).
- Satisfactory quality of life and low donor-site morbidity (average score: 8.3) reported.
Conclusions:
- The proposed classification and algorithm offer a user-friendly approach to soft-palate defect reconstruction.
- This system aims to optimize functional outcomes through guided surgical treatment.
- Further multicentric studies are needed to validate findings due to sample size limitations.

