Accuracy and postoperative assessment of pedicle screw placement during scoliosis surgery with computer-assisted navigation: a meta-analysis

Author(s):  
Wei Tian ◽  
Cheng Zeng ◽  
Yan An ◽  
Chao Wang ◽  
Yajun Liu ◽  
...  
2021 ◽  
Vol 34 (1) ◽  
pp. 127-134
Author(s):  
Andrew M. Gardeck ◽  
Xuan Pu ◽  
Qiuyu Yang ◽  
David W. Polly ◽  
Kristen E. Jones

OBJECTIVEResidency work-hour restrictions necessitate efficient, reproducible training. Simulation training for spinal instrumentation placement shows significant benefit to learners’ subjective and objective proficiency. Cadaveric laboratories are most effective but have high cost and low availability. The authors’ goal was to create a low-cost, efficient, reproducible spinal instrumentation placement simulation curriculum for neurosurgery and orthopedic surgery residents using synthetic models and 3D computer-assisted navigation, assessing subjective and objective proficiency with placement of thoracolumbar pedicle screws.METHODSFifteen neurosurgery and orthopedic surgery residents participated in a standardized curriculum with lecture followed by two separate sessions of thoracolumbar pedicle screw placement in a synthetic spine model utilizing 3D computer-assisted navigation. Data were collected on premodule experience, time and accuracy of screw placement, and both subjective and objective ratings of proficiency.RESULTSFifteen of 15 residents demonstrated improvement in subjective (Physician Performance Diagnostic Inventory Scale [PPDIS]) and 14 in objective (Objective Structured Assessment of Technical Skills [OSATS]) measures of proficiency in navigated screw placement with utilization of this curriculum (p < 0.001 for both), regardless of the number of cases of previous experience using thoracolumbar spinal instrumentation. Fourteen of 15 residents demonstrated decreased time per screw placement from session 1 to session 2 (p = 0.006). There was no significant difference in pedicle screw accuracy between session 1 and session 2.CONCLUSIONSA standardized curriculum using synthetic simulation training for navigated thoracolumbar pedicle screw placement results in significantly improved resident subjective and objective proficiency. Development of a nationwide competency curriculum using simulation training for spinal instrumentation placement should be considered for safe, efficient resident training.


2013 ◽  
Vol 19 (5) ◽  
pp. 608-613 ◽  
Author(s):  
Thomas J. Gianaris ◽  
Gregory M. Helbig ◽  
Eric M. Horn

Object Percutaneous pedicle screw insertion techniques are commonly used to treat a variety of spinal disorders. Typically, Kirschner (K)-wires are used to guide the insertion of taps and screws during placement since the normal anatomical landmarks are not visualized. The use of K-wires adds risks, such as vascular and nerve injuries as well as increased radiation exposure given the use of fluoroscopy. The authors describe a series of patients who had percutaneous pedicle screws placed using a new computer-assisted navigation technique without the need for K-wires. Methods Minimally invasive percutaneous pedicle screw placement in the thoracic and lumbar spine was performed in a consecutive series of 15 patients for a variety of spinal pathologies. Intraoperative 3D CT images were obtained and used with a computer-assisted navigation system to insert an awl-tap into each pedicle. The tap location in the pedicle was marked with the navigation software, and the awl-tap was then removed. The navigation system was used to identify each landmark to insert the pedicle screw. Connecting rods were then inserted percutaneously under fluoroscopic guidance. Postoperative CT scans were obtained in each patient to evaluate screw placement. Results On postprocedure scanning, only 1 screw had a minor lateral and superior breach that was asymptomatic. To date, there have been no hardware failures. Conclusions Percutaneous pedicle screws can be placed effectively and safely without the use of K-wires.


Spine ◽  
2018 ◽  
Vol 43 (21) ◽  
pp. 1487-1495 ◽  
Author(s):  
Dejan Knez ◽  
Janez Mohar ◽  
Robert J. Cirman ◽  
Boštjan Likar ◽  
Franjo Pernuš ◽  
...  

Spine ◽  
2007 ◽  
Vol 32 (14) ◽  
pp. 1543-1550 ◽  
Author(s):  
Yoshihisa Kotani ◽  
Kuniyoshi Abumi ◽  
Manabu Ito ◽  
Masahiko Takahata ◽  
Hideki Sudo ◽  
...  

Injury ◽  
2018 ◽  
Vol 49 (3) ◽  
pp. 644-648 ◽  
Author(s):  
Hongwei Wang ◽  
Yusheng Liu ◽  
Yiwen Zhao ◽  
Guoli Song ◽  
Jun Liu ◽  
...  

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