Literature DB >> 24725180

Safety and accuracy of robot-assisted versus fluoroscopy-guided pedicle screw insertion for degenerative diseases of the lumbar spine: a matched cohort comparison.

Bawarjan Schatlo1, Granit Molliqaj, Victor Cuvinciuc, Marc Kotowski, Karl Schaller, Enrico Tessitore.   

Abstract

OBJECT: Recent years have been marked by efforts to improve the quality and safety of pedicle screw placement in spinal instrumentation. The aim of the present study is to compare the accuracy of the SpineAssist robot system with conventional fluoroscopy-guided pedicle screw placement.
METHODS: Ninety-five patients suffering from degenerative disease and requiring elective lumbar instrumentation were included in the study. The robot cohort (Group I; 55 patients, 244 screws) consisted of an initial open robot-assisted subgroup (Subgroup IA; 17 patients, 83 screws) and a percutaneous cohort (Subgroup IB, 38 patients, 161 screws). In these groups, pedicle screws were placed under robotic guidance and lateral fluoroscopic control. In the fluoroscopy-guided cohort (Group II; 40 patients, 163 screws) screws were inserted using anatomical landmarks and lateral fluoroscopic guidance. The primary outcome measure was accuracy of screw placement on the Gertzbein-Robbins scale (Grade A to E and R [revised]). Secondary parameters were duration of surgery, blood loss, cumulative morphine, and length of stay.
RESULTS: In the robot group (Group I), a perfect trajectory (A) was observed in 204 screws (83.6%). The remaining screws were graded B (n = 19 [7.8%]), C (n = 9 [3.7%]), D (n = 4 [1.6%]), E (n = 2 [0.8%]), and R (n = 6 [2.5%]). In the fluoroscopy-guided group (Group II), a completely intrapedicular course graded A was found in 79.8% (n = 130). The remaining screws were graded B (n = 12 [7.4%]), C (n = 10 [6.1%]), D (n = 6 [3.7%]), and E (n = 5 [3.1%]). The comparison of "clinically acceptable" (that is, A and B screws) was neither different between groups (I vs II [p = 0.19]) nor subgroups (Subgroup IA vs IB [p = 0.81]; Subgroup IA vs Group II [p = 0.53]; Subgroup IB vs Group II [p = 0.20]). Blood loss was lower in the robot-assisted group than in the fluoroscopy-guided group, while duration of surgery, length of stay, and cumulative morphine dose were not statistically different.
CONCLUSIONS: Robot-guided pedicle screw placement is a safe and useful tool for assisting spine surgeons in degenerative spine cases. Nonetheless, technical difficulties remain and fluoroscopy backup is advocated.

Entities:  

Keywords:  BMI = body mass index; LOS = length of stay; PLIF = posterior lumbar interbody fusion; TLIF = transforaminal lumbar interbody fusion; computer-assisted surgery; lumbar; pedicle screw; robotic surgery; spinal fusion; spine instrumentation

Mesh:

Year:  2014        PMID: 24725180     DOI: 10.3171/2014.3.SPINE13714

Source DB:  PubMed          Journal:  J Neurosurg Spine        ISSN: 1547-5646


  53 in total

1.  Fluoroscopy-guided pedicle screw accuracy with a mini-open approach: a tomographic evaluation of 470 screws in 125 patients.

Authors:  José Antonio Soriano-Sánchez; Luis Alberto Ortega-Porcayo; Carlos Francisco Gutiérrez-Partida; Luis Rodolfo Ramírez-Barrios; Ramses Uriel Ortíz-Leyva; Manuel Rodríguez-García; Oscar Sánchez-Escandón
Journal:  Int J Spine Surg       Date:  2015-10-23

2.  Accuracy of thoracolumbar transpedicular and vertebral body percutaneous screw placement: coupling the Rosa® Spine robot with intraoperative flat-panel CT guidance--a cadaver study.

Authors:  M Lefranc; J Peltier
Journal:  J Robot Surg       Date:  2015-10-22

Review 3.  Spine surgical robotics: review of the current application and disadvantages for future perspectives.

Authors:  Junshen Huang; Yuxi Li; Lin Huang
Journal:  J Robot Surg       Date:  2019-06-26

4.  Reduction in complication and revision rates for robotic-guided short-segment lumbar fusion surgery: results of a prospective, multi-center study.

Authors:  Jason I Liounakos; Vignessh Kumar; Aria Jamshidi; Zmira Silman; Christopher R Good; Samuel R Schroerlucke; Andrew Cannestra; Victor Hsu; Jae Lim; Faissal Zahrawi; Pedro M Ramirez; Thomas M Sweeney; Michael Y Wang
Journal:  J Robot Surg       Date:  2021-01-01

5.  Surgical challenges in posterior cervicothoracic junction instrumentation.

Authors:  Alberto Balestrino; Renato Gondar; Gianpaolo Jannelli; Gianluigi Zona; Enrico Tessitore
Journal:  Neurosurg Rev       Date:  2021-03-22       Impact factor: 3.042

6.  Comparison of the accuracy between robot-assisted and conventional freehand pedicle screw placement: a systematic review and meta-analysis.

Authors:  Hao Liu; Weikai Chen; Zongyi Wang; Jun Lin; Bin Meng; Huilin Yang
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-06-22       Impact factor: 2.924

Review 7.  Robotic-assisted cortical bone trajectory (CBT) screws using the Mazor X Stealth Edition (MXSE) system: workflow and technical tips for safe and efficient use.

Authors:  John A Buza; Jeffrey L Gum; Christopher R Good; Ronald A Lehman; John Pollina; Richard V Chua; Avery L Buchholz
Journal:  J Robot Surg       Date:  2020-09-28

8.  Impact of robot-assisted spine surgery on health care quality and neurosurgical economics: A systemic review.

Authors:  Brian Fiani; Syed A Quadri; Mudassir Farooqui; Alessandra Cathel; Blake Berman; Jerry Noel; Javed Siddiqi
Journal:  Neurosurg Rev       Date:  2018-04-03       Impact factor: 3.042

Review 9.  Percutaneous screw placement in the lumbar spine with a modified guidance technique based on 3D CT navigation system.

Authors:  Ioannis D Siasios; John Pollina; Asham Khan; Vassilios George Dimopoulos
Journal:  J Spine Surg       Date:  2017-12

10.  Robot guidance for percutaneous minimally invasive placement of pedicle screws for pyogenic spondylodiscitis is associated with lower rates of wound breakdown compared to conventional fluoroscopy-guided instrumentation.

Authors:  Awad Alaid; Kajetan von Eckardstein; Nicolas Roydon Smoll; Volodymyr Solomiichuk; Veit Rohde; Ramon Martinez; Bawarjan Schatlo
Journal:  Neurosurg Rev       Date:  2017-07-20       Impact factor: 3.042

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