Literature DB >> 28463609

Initial academic experience and learning curve with robotic spine instrumentation.

Timur M Urakov1, Ken Hsuan-Kan Chang1, S Shelby Burks1, Michael Y Wang1.   

Abstract

OBJECTIVE Spine surgery is complex and involves various steps. Current robotic technology is mostly aimed at assisting with pedicle screw insertion. This report evaluates the feasibility of robot-assisted pedicle instrumentation in an academic environment with the involvement of residents and fellows. METHODS The Renaissance Guidance System was used to plan and execute pedicle screw placement in open and percutaneous consecutive cases performed in the period of December 2015 to December 2016. The database was reviewed to assess the usability of the robot by neurosurgical trainees. Outcome measures included time per screw, fluoroscopy time, breached screws, and other complications. Screw placement was assessed in patients with postoperative CT studies. The speed of screw placement and fluoroscopy time were collected at the time of surgery by personnel affiliated with the robot's manufacturer. Complication and imaging data were reviewed retrospectively. RESULTS A total of 306 pedicle screws were inserted in 30 patients with robot guidance. The average time for junior residents was 4.4 min/screw and for senior residents and fellows, 4.02 min/screw (p = 0.61). Among the residents dedicated to spine surgery, the average speed was 3.84 min/screw, while nondedicated residents took 4.5 min/screw (p = 0.41). Evaluation of breached screws revealed some of the pitfalls in using the robot. CONCLUSIONS No significant difference regarding the speed of pedicle instrumentation was detected between the operators' years of experience or dedication to spine surgery, although more participants are required to investigate this completely. On the other hand, there was a trend toward improved efficiency with more cases performed. To the authors' knowledge, this is the first reported academic experience with robot-assisted spine instrumentation.

Entities:  

Keywords:  Mazor; PGY = postgraduate year; image guidance; minimally invasive; pedicle screw; robotics; spinal fusion

Mesh:

Year:  2017        PMID: 28463609     DOI: 10.3171/2017.2.FOCUS175

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  18 in total

1.  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

2.  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

3.  A multicenter study of the 5-year trends in robot-assisted spine surgery outcomes and complications.

Authors:  Nathan J Lee; Eric Leung; Ian A Buchanan; Matthew Geiselmann; Josephine R Coury; Matthew E Simhon; Scott Zuckerman; Avery L Buchholz; John Pollina; Ehsan Jazini; Colin Haines; Thomas C Schuler; Christopher R Good; Joseph Lombardi; Ronald A Lehman
Journal:  J Spine Surg       Date:  2022-03

4.  When giants talk; robotic dialog during thoracolumbar and sacral surgery.

Authors:  Josh E Schroeder; Saadit Houri; Yoram A Weil; Meir Liebergall; Rami Moshioff; Leon Kaplan
Journal:  BMC Surg       Date:  2022-04-01       Impact factor: 2.102

Review 5.  Negotiating for new technologies: guidelines for the procurement of assistive technologies in spinal surgery: a narrative review.

Authors:  Vincent J Rossi; Thomas A Wells-Quinn; Gregory M Malham
Journal:  J Spine Surg       Date:  2022-06

6.  Workflow and Efficiency of Robotic-Assisted Navigation in Spine Surgery.

Authors:  Fedan Avrumova; Ahilan Sivaganesan; Ram Kiran Alluri; Avani Vaishnav; Sheeraz Qureshi; Darren R Lebl
Journal:  HSS J       Date:  2021-06-29

7.  Potential Roles of Teamwork and Unmet Needs on Surgical Learning Curves of Spinal Robotic Screw Placement.

Authors:  Yu-Feng Su; Tai-Hsin Tsai; Keng-Liang Kuo; Chieh-Hsin Wu; Cheng-Yu Tsai; Yen-Mou Lu; Shiuh-Lin Hwang; Pei-Chen Lin; Ann-Shung Lieu; Chih-Lung Lin; Chih-Hui Chang
Journal:  J Multidiscip Healthc       Date:  2022-09-07

8.  Robotic-Navigated Percutaneous Pedicle Screw Placement Has Less Facet Joint Violation Than Fluoroscopy-Guided Percutaneous Screws.

Authors:  Gennadiy A Katsevman; Raven D Spencer; Scott D Daffner; Sanjay Bhatia; Robert A Marsh; John C France; Shari Cui; Patricia Dekeseredy; Cara L Sedney
Journal:  World Neurosurg       Date:  2021-05-04       Impact factor: 2.210

9.  Learning Curve for Robot-Assisted Percutaneous Pedicle Screw Placement in Thoracolumbar Surgery.

Authors:  Jeremy K T Kam; Calvin Gan; Stefan Dimou; Mohammed Awad; Bhadu Kavar; Girish Nair; Andrew Morokoff
Journal:  Asian Spine J       Date:  2019-07-09

10.  Robotic Spine Surgery and Augmented Reality Systems: A State of the Art.

Authors:  Gianluca Vadalà; Sergio De Salvatore; Luca Ambrosio; Fabrizio Russo; Rocco Papalia; Vincenzo Denaro
Journal:  Neurospine       Date:  2020-03-31
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.