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Does the Brown classification of maxillectomy defects have prognostic prediction for patients with oral cavity squamous cell carcinoma involving the maxilla?

Authors :
Sun Q
Zhang WB
Gao M
Yu S
Mao C
Guo CB
Yu GY
Peng X
Source :
International journal of oral and maxillofacial surgery [Int J Oral Maxillofac Surg] 2020 Sep; Vol. 49 (9), pp. 1135-1142. Date of Electronic Publication: 2020 Feb 17.
Publication Year :
2020

Abstract

The aim of this study was to investigate the correlation between the maxillectomy defect, T stage, and prognosis of patients with maxillary squamous cell carcinoma (SCC). The Brown classification system was used to appraise the maxillectomy defects due to maxillary SCC. The clinical data of 137 patients with maxillary SCC during the period 2000-2010 were reviewed; 105 patients were followed up. Preoperative T stage and postoperative maxillectomy class were recorded. The relationship between the maxillectomy defect class and T stage of maxillary SCC was analysed. Correlations between the maxillectomy defect class, local recurrence rate, and survival rate were assessed using IBM SPSS Statistics v19.0. The most common maxillectomy defect class was IIb (54.7%, 75/137). The maxillectomy defect class was significantly associated with the T stage (P < 0.001). Both T stage and the maxillectomy defect class were significantly associated with the survival rate of patients with maxillary SCC (both P< 0.001). In conclusion, the class of the maxillectomy defect was found to be associated with the T stage. Both of these were prognostic factors for patients with maxillary SCC. The class of the maxillectomy defect is suitable for clinical application in predicting the prognosis compared with T stage.<br /> (Copyright © 2020 International Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1399-0020
Volume :
49
Issue :
9
Database :
MEDLINE
Journal :
International journal of oral and maxillofacial surgery
Publication Type :
Academic Journal
Accession number :
32081582
Full Text :
https://doi.org/10.1016/j.ijom.2020.01.021