Literature DB >> 33824036

Impact of CAD/CAM mandibular reconstruction on chewing and swallowing function after surgery for locally advanced oral cancer: A retrospective study of 50 cases.

Akira Ohkoshi1, Naoko Sato2, Koreyuki Kurosawa3, Hitoshi Miyashita4, Ryo Ishii5, Ayako Nakanome5, Takenori Ogawa6, Masahiro Tachi3, Tetsu Takahashi4, Yukio Katori5.   

Abstract

OBJECTIVE: Computer-aided design and computer-aided manufacturing (CAD/CAM) techniques are increasingly applied to mandibular reconstruction, but the superiority of this method in oral food intake has not been well established. Considering the extent of mandibular defects, this retrospective study was aimed to clarify the impact of CAD/CAM mandibular reconstruction on chewing and swallowing function after surgery for locally advanced oral cancer.
MATERIALS AND METHODS: We performed a retrospective review of 50 patients who had undergone segmental mandibulectomy with free flap reconstruction for locally advanced oral cancer. The patients' Functional Oral Intake Scale scores were measured at 3 months after surgery, and possible contributing factors including CAD/CAM mandibular reconstruction and the extent of mandibular defects for oral food intake were subjected to univariate analysis and multivariate logistic regression analysis.
RESULTS: Multivariate logistic regression analysis showed that CAD/CAM mandibular reconstruction was independently associated with good oral intake, whereas both anterior or extensive mandibular resection and glossectomy were also independently associated with poor oral intake after surgery.
CONCLUSION: The present study showed the positive impact of CAD/CAM mandibular reconstruction on chewing and swallowing function after surgery for locally advanced oral cancer for the first time.
Copyright © 2021. Published by Elsevier B.V.

Entities:  

Keywords:  CAD/CAM; Oral cancer; Segmental mandibulectomy

Mesh:

Year:  2021        PMID: 33824036     DOI: 10.1016/j.anl.2021.03.014

Source DB:  PubMed          Journal:  Auris Nasus Larynx        ISSN: 0385-8146            Impact factor:   1.863


  1 in total

1.  Mandibular shape prediction model using machine learning techniques.

Authors:  Tania Camila Niño-Sandoval; Robinson Andrés Jaque; Fabio A González; Belmiro C E Vasconcelos
Journal:  Clin Oral Investig       Date:  2022-01-08       Impact factor: 3.573

  1 in total

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