Classification of maxillectomy in edentulous arch defects, algorithm, concept, and proposal classifications: A review.

Abstract

Aramany's classification of postsurgical maxillectomy defects was introduced for partially edentulous situations, and has been widely used for education and effective communication among practitioners. Numerous classifications of maxillofacial defects, based on surgical procedure, resultant defects, or prosthodontist's perspective after rehabilitation, exist in the literature. However, no single classification has incorporated all these factors. The purpose of this review was to highlight the classification systems and describe a pragmatic classification series for edentulous maxillary arch defects (maxillectomy) by applying the Aramany classification criteria, to enhance treatment outcomes and communication among practitioners. An electronic search of the literature published in English was conducted using the PubMed/MEDLINE and Google Scholar database. Keywords used were "maxillectomy classification" AND "surgical resection," "maxillectomy classification" AND "complete edentulous." In addition, a manual search was also performed followed the same criteria in the following journals: Journal of Prosthetic Dentistry and Journal of Prosthodontics. Several classification systems for partial dentition were found in terms of size, location, dentition, and extension of the defect (isolated or communication defects). The findings revealed a variety of maxillectomy defect classifications for partially dentate, considering surgical factors and rehabilitation. However, no study or classification system exist for the edentulous arch defects. Different classification systems for maxillectomy defects exist in the literature, only for partially dentate patients. To the authors best knowledge, no classification system for completely edentulous maxillary arch defects have been proposed till date. A simple classification system with clear characteristics for edentulous maxillectomy dental arch defects has been proposed. This classification was modeled after Aramany classification for easier memorization and application.