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Use of reconstruction plates prebent on three-dimensional models to reduce the complications of mandibular reconstruction.

Authors :
Chiu, Yu-Wei
Chen, Pei-Yin
Chen, Yen-Lin
Peng, Chih-Yu
Lu, Ming-Yi
Chen, Yi-Tzu
Yang, Cheng-Chieh
Source :
Journal of Dental Sciences; Jan2024, Vol. 19 Issue 1, p473-478, 6p
Publication Year :
2024

Abstract

Though the gold standard method for mandible reconstruction of the defect from segmental mandibulectomy is by osseous flap or graft, using reconstruction plates is still indicated in some cases. Traditionally, the plate is bended immediately after the segmental mandibulectomy by freehand. However, it's difficult to fit well to the original position of mandible, which may result in more complications. This study therefore aimed to investigate whether using prebent plates on computer-aided 3D printing models could reduce the complication rate. Patients who received mandible reconstruction by reconstruction plate from 2018 to 2022 were enrolled and evaluated in this study. The data, including demographics, indications for surgery, pre-existed preoperative and postoperative therapies, classification of defects, and postoperative outcomes were collected and analyzed. A total of 52 patients were enrolled in our study. The prebent group exhibited a significantly lower complication rate than that of the immediately bent group (P = 0.012). Other risk factors of plate complications included postoperative adjuvant radiotherapy (P = 0.017) and previous surgery (P = 0.047). The complication-free survival rate was also better in the prebent group in a 3-year follow-up period (P = 0.012). Prebent plates on computer-aided printing models proved to be an effective approach to reduce the complications for mandibular reconstruction in segmental mandibulectomy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19917902
Volume :
19
Issue :
1
Database :
Supplemental Index
Journal :
Journal of Dental Sciences
Publication Type :
Academic Journal
Accession number :
174794667
Full Text :
https://doi.org/10.1016/j.jds.2023.09.005