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      Application of computer-assisted surgery techniques in the management of zygomatic complex fractures

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          Abstract

          Patients suffering from zygomatic complex fractures always present facial deformity and dysfunctions, and thereafter develop psychological and physiological problems. It is really hard to get an ideal prognosis for the zygomatic complex fractures because of the complicated anatomical structures. Computer-assisted surgery techniques, as the new emerging auxiliary methods, can optimize the surgical protocol, predict operation outcomes, and improve the accuracy and quality of the operation. Meanwhile the postoperative complications can be reduced effectively. This review aims to provide a comprehensive overview of the application of computer-assisted surgery techniques in the management of zygomatic complex fractures.

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          Robotic technology in surgery: past, present, and future.

          David B. Camarillo, Eva Krümmel, J. Salisbury (2004)
          It has been nearly 20 years since the first appearance of robotics in the operating room. In that time, much progress has been made in integrating robotic technologies with surgical instrumentation, as evidenced by the many thousands of successful robot-assisted cases. However, to build on past success and to fully leverage the potential of surgical robotics in the future, it is essential to maximize a shared understanding and communication among surgeons, engineers, entrepreneurs, and healthcare administrators. This article provides an introduction to medical robotic technologies, develops a possible taxonomy, reviews the evolution of a surgical robot, and discusses future prospects for innovation. Robotic surgery has demonstrated some clear benefits. It remains to be seen where these benefits will outweigh the associated costs over the long term. In the future, surgical robots should be smaller, less expensive, easier to operate, and should seamlessly integrate emerging technologies from a number of different fields. Such advances will enable continued progress in surgical instrumentation and, ultimately, surgical care.
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            Three-dimensional treatment planning of orthognathic surgery in the era of virtual imaging.

            Gwen R.J. Swennen, Wouter Mollemans, Filip Schutyser (2009)
            The aim of this report was to present an integrated 3-dimensional (3D) virtual approach toward cone-beam computed tomography-based treatment planning of orthognathic surgery in the clinical routine. We have described the different stages of the workflow process for routine 3D virtual treatment planning of orthognathic surgery: 1) image acquisition for 3D virtual orthognathic surgery; 2) processing of acquired image data toward a 3D virtual augmented model of the patient's head; 3) 3D virtual diagnosis of the patient; 4) 3D virtual treatment planning of orthognathic surgery; 5) 3D virtual treatment planning communication; 6) 3D splint manufacturing; 7) 3D virtual treatment planning transfer to the operating room; and 8) 3D virtual treatment outcome evaluation. The potential benefits and actual limits of an integrated 3D virtual approach for the treatment of the patient with a maxillofacial deformity are discussed comprehensively from our experience using 3D virtual treatment planning clinically.
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              Medical rapid prototyping technologies: state of the art and current limitations for application in oral and maxillofacial surgery.

              S. Winder, Richard Bibb (2005)
              We describe state-of-the-art software and hardware requirements for the manufacture of high quality medical models manufactured using medical rapid prototyping. The limitations of medical models, the source of artefacts, and their physical appearance are illustrated along with remedies for their removal. Medical models were built using predominantly stereolithography and fused deposition modeling at both institutions over a period of 6 years. A combined total of 350 models have been produced for a range of maxillofacial, neurosurgical, and orthopedic applications. Stereolithography, fused deposition modeling, computerized numerical milling, and other technologies are described along with computer software requirements. A range of unwanted artefacts that create distortions on medical models have been identified. These include data import, computed tomography gantry distortion, metal, motion, surface roughness due to support structure removal or surface modeling, and image data thresholding. The source of the artefact has been related to the patient, imaging modality performance, or the modeling technology. Discussion as to the significance of the artefacts on clinical use is provided. It is recommended that models of human anatomy generated by medical rapid prototyping are subject to rigorous quality assurance at all stages of the manufacturing process. Clinicians should be aware of potential areas for inaccuracies within models and review the source images in cases where model integrity is in doubt.
              Article 0 comments Cited 39 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Lei Liu
                Journal
                Journal ID (nlm-ta): Chin J Traumatol
                Journal ID (iso-abbrev): Chin. J. Traumatol
                Title: Chinese Journal of Traumatology
                Publisher: Elsevier
                ISSN (Print): 1008-1275
                Publication date PMC-release: 20 September 2018
                Publication date (Print): October 2018
                Publication date (Electronic): 20 September 2018
                Volume: 21
                Issue: 5
                Pages: 281-286
                Affiliations
                [1]Department of Oral & Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
                Author notes
                [∗ ]Corresponding author. drliulei@ 123456163.com
                Article
                Publisher ID: S1008-1275(17)30317-6
                DOI: 10.1016/j.cjtee.2018.01.007
                PMC ID: 6235788
                PubMed ID: 30342986
                SO-VID: da055f8c-b90d-45cb-a5d9-3a81a360fb95
                Copyright © © 2018 Daping Hospital and the Research Institute of Surgery of the Third Military Medical University. Production and hosting by Elsevier B.V.
                License:

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Date received : 26 November 2017
                Date revision received : 28 February 2018
                Date accepted : 5 April 2018
                Categories
                Subject: Review

                Keywords: zygomatic complex fractures,computer-assisted surgical techniques,accuracy,reduction
                Data availability:
                Keywords: zygomatic complex fractures, computer-assisted surgical techniques, accuracy, reduction

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