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

https://doi.org/10.1016/j.joms.2015.03.029Get rights and content

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.

Section snippets

Patients and Study Design

Thirty-six patients (30 men and 6 women) presenting with multiple facial fractures were admitted to the Department of Oral and Craniomaxillofacial Science, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, from July 2011 through December 2014. Their ages ranged from 17 to 64 years (average age, 44.1 yr), and the patients had a history of trauma 7 days to 17 years before surgical interventions. Patients' clinical characteristics are presented in Table 1.

Results

All patients were treated with image-guided surgical navigation, including interdisciplinary preoperative planning and surgical simulation. The accuracy of the navigation system, including the accuracy of 3D modeling, registration accuracy, and tracking accuracy, was within 1 mm, as verified by repetitive pinpointing of the anatomic landmarks during the intraoperative navigation procedure. Intraoperative instrument- and probe-based navigation was used initially to maneuver the fractured bone

Discussion

Multiple facial fractures are generally defined as fractures that simultaneously involve the upper, middle, and lower face.2 This kind of trauma is often associated with emergency conditions, such as craniocerebral and cervical spinal injuries.12 Moreover, their high-energy injury patterns typically involve multiple hard and soft tissues with disruption of tendons, ducts, and motor nerves that can lead to severe post-traumatic deformities and functional impairments.2 Although treatment of

References (22)

Cited by (14)

  • Application of real-time surgical navigation for zygomatic fracture reduction and fixation

    2022, Journal of Plastic, Reconstructive and Aesthetic Surgery
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    Kim et al. use the navigation system in patients with multiple facial fractures and assessed the outcome by superimposing the 3D CT model. They found the quantitative discrepancy was less than 2 mm (1.49 ± 0.27), which was similar to our result21. Yang et al. reported that with navigation, the mean total displacement of zygomatic sutures could be significantly decreased to 0.53 mm, particularly the zygomaticosphenoid suture, which showed almost no gap postoperatively22.

  • Surgical Navigation for Oral and Maxillofacial Surgery

    2019, Oral and Maxillofacial Surgery Clinics of North America
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    This will instantaneously demonstrate proper reduction without the need to obtain a postoperative CT scan and without additional radiation exposure to the patient. Such utility, as shown by Kim and colleagues,4 showed a less than 2 mm discrepancy in 36 patients with multiple facial fractures treated with virtual surgical planning and surgical navigation. When integrated with VSP, intraoperative navigation is therefore superior to intraoperative CT scanning for the evaluation of proper fracture reduction or implant positioning.

  • Development of a novel anatomical thin titanium mesh plate with reduction guidance and fixation function for Asian zygomatic-orbitomaxillary complex fracture

    2018, Journal of Cranio-Maxillofacial Surgery
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    Computer-assisted techniques have already helped many surgeons perform accurate preoperative simulations that provide ideal 3-dimensional (3D) surgical simulation plans. However, favorable results have been difficult to achieve because of inaccurate translation of these computer-based images into real-world surgical outcomes (Schramm et al., 2009; Kim et al., 2015). While Thomas et al. applied a computer-generated stereolithographic (STL) guiding template to assist screw pre-drilling for fracture reduction, the effectiveness of this solution needs to improve because the essential guiding template cannot be applied over the whole course of surgery (Li et al., 2011; Schouman et al., 2015).

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Drs JW Kim and JY Wu contributed equally to this study.

This research was supported by the International Research and Development Program of the National Research Foundation of Korea funded by the Republic of Korea and the Chinese Science and Technology Exchange Center, Ministry of Science and Technology in China; the Intramural Research Funds of Ewha Womans University School of Medicine, Seoul, Korea (1-2014-0643-001-1); the National Natural Science Foundation of China (81371193); and the Project from the Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (13DZ2272200-4).

Conflict of Interest Disclosures: None of the authors reported any disclosures.

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