Literature DB >> 27713054

Improving the accuracy of mandibular reconstruction with vascularized iliac crest flap: Role of computer-assisted techniques.

Wen-Bo Zhang1, Yao Yu1, Yang Wang1, Chi Mao1, Xiao-Jing Liu1, Chuan-Bin Guo1, Guang-Yan Yu1, Xin Peng2.   

Abstract

While vascularized iliac crest flap is widely used for mandibular reconstruction, it is often challenging to predict the clinical outcome in a conventional operation based solely on the surgeon's experience. Herein, we aimed to improve this procedure by using computer-assisted techniques. We retrospectively reviewed records of 45 patients with mandibular tumor who underwent mandibulectomy and reconstruction with vascularized iliac crest flap from January 2008 to June 2015. Computer-assisted techniques including virtual plan, stereomodel, pre-bending individual reconstruction plate, and surgical navigation were used in 15 patients. The other 30 patients underwent conventional surgery based on the surgeon's experience. Condyle position and reconstructed mandible contour were evaluated based on post-operative computed tomography. Complications were also evaluated during the follow-up. Flap success rate of the patients was 95.6% (43/45). Those in the computer-assisted group presented with better outcomes of the mandibular contour (p = 0.001) and condyle position (p = 0.026). Further, they also experienced beneficial dental restoration (p = 0.011) and postoperative appearance (p = 0.028). The difference between postoperative effect and virtual plan was within the acceptable error margin. There is no significant difference in the incidence of post-operative complications. Thus, computer-assisted techniques can improve the clinical outcomes of mandibular reconstruction with vascularized iliac crest flap.
Copyright © 2016 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computer-assisted technique; Mandibular reconstruction; Vascularized iliac crest flap

Mesh:

Year:  2016        PMID: 27713054     DOI: 10.1016/j.jcms.2016.08.014

Source DB:  PubMed          Journal:  J Craniomaxillofac Surg        ISSN: 1010-5182            Impact factor:   2.078


  7 in total

1.  [Application of computer-assisted design for anterolateral thigh flap in oral and maxillofacial reconstruction].

Authors:  S J Wang; W B Zhang; Y Yu; X Y Xie; H Y Yang; X Peng
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2020-02-18

2.  Automatic virtual reconstruction of maxillofacial bone defects assisted by ICP (iterative closest point) algorithm and normal people database.

Authors:  Bimeng Jie; Boxuan Han; Baocheng Yao; Yi Zhang; Hongen Liao; Yang He
Journal:  Clin Oral Investig       Date:  2021-09-25       Impact factor: 3.573

3.  [Anatomy of the deep circumflex iliac artery perforators and reconstruction of complex mandibular defects with chimeric deep circumflex iliac artery perforator flap].

Authors:  Y Chen; X Hong; L Liu; Z Zhan; X Li; C Pu; S Chen; S Liao
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2021-05-20

4.  Accuracy of Mixed Reality Combined With Surgical Navigation Assisted Oral and Maxillofacial Tumor Resection.

Authors:  Zu-Nan Tang; Lei-Hao Hu; Hui Yuh Soh; Yao Yu; Wen-Bo Zhang; Xin Peng
Journal:  Front Oncol       Date:  2022-01-14       Impact factor: 6.244

Review 5.  Comparing the use of conventional and three-dimensional printing (3DP) in mandibular reconstruction.

Authors:  Ailis Truscott; Reza Zamani; Mohammad Akrami
Journal:  Biomed Eng Online       Date:  2022-03-19       Impact factor: 2.819

6.  Surgical Navigation in Mandibular Reconstruction: Accuracy Evaluation of an Innovative Protocol.

Authors:  Davide Sozzi; Andrea Filippi; Gabriele Canzi; Elena De Ponti; Alberto Bozzetti; Giorgio Novelli
Journal:  J Clin Med       Date:  2022-04-06       Impact factor: 4.241

7.  Surgical benefit of mandibular morphometric analysis: A new tool to standardize mandibular reconstruction.

Authors:  Alice Prevost; Franck Delanoe; Zoé Cavallier; Samuel Muller; Raphael Lopez; Frédéric Lauwers
Journal:  PLoS One       Date:  2020-11-06       Impact factor: 3.240

  7 in total

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