Literature DB >> 25869985

Interdisciplinary Surgical Management of Multiple Facial Fractures With Image-Guided Navigation.

Jin-Woo Kim1, Jinyang Wu2, Steve Guofang Shen3, Bing Xu3, Jun Shi4, Shilei Zhang5.   

Abstract

PURPOSE: To evaluate the effectiveness of interdisciplinary surgical management of multiple facial fractures with image-guided surgical navigation. PATIENTS AND METHODS: From 2011 through 2014, 36 patients with multiple facial fractures were enrolled in the study. With individual virtual 3-dimensional (3D) modeling, interdisciplinary planning and surgical simulation were carried out on an Accu-Navi software platform. Through an interactive collaboration among specialists, all patients underwent 1-stage open reduction under guidance of the navigation system. The outcome was assessed by superimposing the postoperative 3D computed tomographic (CT) model on the preoperative plan and clinical examination.
RESULTS: Through the registration procedure, an accurate match between the actual intraoperative position and the CT images was achieved within a systematic error of 1 mm. The fractured bone segments were released and repositioned according to the preoperative plan and simulation with the aid of instrument- and probe-based navigation. All patients underwent uneventful healing without serious complications. Postoperative assessment of surgical intervention showed a quantitative discrepancy less than 2 mm (1.49 ± 0.27), showing a satisfactory concordance.
CONCLUSION: In the interdisciplinary surgical management of multiple facial fractures, image-guided surgical navigation, including preoperative planning, surgical simulation, postoperative assessment, and computer-assisted navigation, proved an optimal strategy and valuable option for this potentially complicated procedure.
Copyright © 2015. Published by Elsevier Inc.

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Year:  2015        PMID: 25869985     DOI: 10.1016/j.joms.2015.03.029

Source DB:  PubMed          Journal:  J Oral Maxillofac Surg        ISSN: 0278-2391            Impact factor:   1.895


  2 in total

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  2 in total

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