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Assessment of Cervical Screw Trajectory Using 3-Dimensional Software Planning

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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52727#.VKICkcCAM4

Objective: It is important and helpful for surgeons to understand the correlation between spinal anatomy and screw trajectory before surgery. We aimed to assess a simple technique using 3D imaging software available on the hospital intranet for visual and quantitative feedback to prepare surgeons for an appropriate entry point and safe trajectory when placing cervical screws. Methods: A total of 59 cervical screws were inserted from C1 to T1 in 12 consecutive patients using this technique. First, a single CT optimal slice was selected from 3D CT images of the cervical spine to determine the intervals of bilateral entry points and lateral angle. Next, this 3D image was rotated to the lateral angle. Finally, bone was cut out on the entry point using subtractive manipulation, which removed the core of the pedicle or lateral mass. Screw trajectory was indicated, and surgeons could assess the correlation between surface landmarks, spinal anatomy, and screw trajectory. Posterior cervical fusion was performed using fluoroscopy. Postoperative outcomes and incidence of complications were retrospectively assessed. Results: One perforation (1.4%) was identified on postoperative CT images. No vascular injuries occurred. Differences in the intended entry point location and lateral angle of the screw from actual postoperative values were 1.49 ± 1.23 mm and 5.46。 ± 4.46。, respectively. Conclusions: A novel 3D CT imaging assessment underwent in cervical screw fixation. This technique is easily accessible on the hospital intranet and provides training in cervical screw placement for fellows. Surgeons can simulate screw placement and share surgical strategy.
Cite this paper
Ohnishi, Y. , Iwatsuki, K. and Yoshimine, T. (2015) Assessment of Cervical Screw Trajectory Using 3-Dimensional Software Planning. Open Journal of Modern Neurosurgery, 5, 6-11. doi: 10.4236/ojmn.2015.51002. 
 

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http://dx.doi.org/10.1097/BSD.0b013e3181d345cb              eww141230lx
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