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Published on: January 12, 2019
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Reconstruction of Lateral Gingivobuccal Defects After Oral Cancer Resection: A Systematic Approach Based on a Novel
Krishnakumar Thankappan1, Tejal Patel1, Lakshmi Ravunniarth Menon1
1Department of Head and Neck Surgery and Oncology, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, AIMS Ponekkara PO, Kerala 682041, India.
Oral and Maxillofacial Surgery Clinics of North America
|February 20, 2026
Summary
This study introduces a new six-tiered classification for lateral gingivobuccal defects after oral cancer surgery. This system aids in standardizing defect documentation and guiding reconstructive flap selection for better patient outcomes.
Area of Science:
- Oral surgery
- Oncology
- Reconstructive surgery
Background:
- Lateral gingivobuccal defects are common after oral cancer resection.
- Standardized classification systems are needed for defect documentation and treatment planning.
Purpose of the Study:
- To propose a novel six-tiered classification system for lateral gingivobuccal defects.
- To standardize the description of defect depth and tissue involvement.
- To guide the selection of reconstructive flaps.
Main Methods:
- Development of a six-tiered classification system based on anatomic depth and tissue layers.
- Classification includes partial-thickness (Classes 1-3) and full-thickness (Classes 4-6) defects.
- Defect categories range from no bone involvement to segmental bone resection.
Main Results:
- The proposed classification system categorizes defects from simple mucosal defects to complex full-thickness defects involving segmental bone resection.
- It differentiates between partial-thickness and full-thickness defects based on skin involvement.
- The system progresses through increasing severity of bone involvement within each thickness category.
Conclusions:
- The novel classification system provides a standardized framework for describing lateral gingivobuccal defects.
- This system can facilitate multicenter research and improve communication among clinicians.
- It aims to optimize reconstructive flap selection for improved surgical outcomes.
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