Preoperative 3D CT Planning for Cortical Bone Trajectory Screws: A Retrospective Radiological Cohort Study.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 17 12 2018
revised: 11 03 2019
accepted: 12 03 2019
pubmed: 25 3 2019
medline: 14 1 2020
entrez: 25 3 2019
Statut: ppublish

Résumé

Pedicle screw instrumentation is a standard procedure in lumbar spinal fusion. The cortical bone trajectory (CBT) screw is an alternative technique, less invasive but harder to perform. The identification of the entry point and the appropriate direction can be tricky especially to the surgeons just at the beginning. Therefore, the aim of this study is to evaluate the reliability of preoperative computed tomography (CT) planning in the CBT screw placement. We retrospectively evaluated 82 patients who underwent a single-level posterior lumbar arthrodesis with CBT screws. The correct entry point and the best trajectory were identified on a 3-dimensional (3D) multiplanar reconstruction CT view. The concordance between achieved and planned trajectories was assessed on a postoperative CT. A total of 328 screws was positioned. The average entry point distance from the target was 1.1 mm (standard deviation, ±0.15 mm). In 301 screws (91.8%), the obtained trajectory differed no more than 2° from the planned one. No screws misplaced or new neurological deficit was recorded. The CBT screw placement is a great alternative to the pedicle screw. Accurate preoperative 3D planning is useful to predict the entry point and the direction with accuracy similar to navigation systems, avoiding its costs and technical difficulties. The 3D CT planning is helpful in the customization of spine surgery, and the results underline the radiological reliability of this technique.

Sections du résumé

BACKGROUND BACKGROUND
Pedicle screw instrumentation is a standard procedure in lumbar spinal fusion. The cortical bone trajectory (CBT) screw is an alternative technique, less invasive but harder to perform. The identification of the entry point and the appropriate direction can be tricky especially to the surgeons just at the beginning. Therefore, the aim of this study is to evaluate the reliability of preoperative computed tomography (CT) planning in the CBT screw placement.
METHODS METHODS
We retrospectively evaluated 82 patients who underwent a single-level posterior lumbar arthrodesis with CBT screws. The correct entry point and the best trajectory were identified on a 3-dimensional (3D) multiplanar reconstruction CT view. The concordance between achieved and planned trajectories was assessed on a postoperative CT.
RESULTS RESULTS
A total of 328 screws was positioned. The average entry point distance from the target was 1.1 mm (standard deviation, ±0.15 mm). In 301 screws (91.8%), the obtained trajectory differed no more than 2° from the planned one. No screws misplaced or new neurological deficit was recorded.
CONCLUSIONS CONCLUSIONS
The CBT screw placement is a great alternative to the pedicle screw. Accurate preoperative 3D planning is useful to predict the entry point and the direction with accuracy similar to navigation systems, avoiding its costs and technical difficulties. The 3D CT planning is helpful in the customization of spine surgery, and the results underline the radiological reliability of this technique.

Identifiants

pubmed: 30904792
pii: S1878-8750(19)30799-5
doi: 10.1016/j.wneu.2019.03.121
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1468-e1474

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Federica Penner (F)

Section of Neurosurgery, Department of Neuroscience, University of Turin, Turin, Italy.

Nicola Marengo (N)

Section of Neurosurgery, Department of Neuroscience, University of Turin, Turin, Italy.

Marco Ajello (M)

Section of Neurosurgery, Department of Neuroscience, University of Turin, Turin, Italy.

Salvatore Petrone (S)

Section of Neurosurgery, Department of Neuroscience, University of Turin, Turin, Italy. Electronic address: svt.petrone@gmail.com.

Fabio Cofano (F)

Section of Neurosurgery, Department of Neuroscience, University of Turin, Turin, Italy.

Filippo Veneziani Santonio (F)

Section of Neurosurgery, Department of Neuroscience, University of Turin, Turin, Italy.

Francesco Zenga (F)

Section of Neurosurgery, Department of Neuroscience, University of Turin, Turin, Italy.

Diego Garbossa (D)

Section of Neurosurgery, Department of Neuroscience, University of Turin, Turin, Italy.

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Classifications MeSH