Literature DB >> 31380491

The use of robotics in minimally invasive spine surgery.

Blake N Staub1, Saeed S Sadrameli2.   

Abstract

The field of spine surgery has changed significantly over the past few decades as once technological fantasy has become reality. The advent of stereotaxis, intra-operative navigation, endoscopy, and percutaneous instrumentation have altered the landscape of spine surgery. The concept of minimally invasive spine (MIS) surgery has blossomed over the past ten years and now robot-assisted spine surgery is being championed by some as another potential paradigm altering technological advancement. The application of robotics in other surgical specialties has been shown to be a safe and feasible alternative to the traditional, open approach. In 2004 the Mazor Spine Assist robot was approved by FDA to assist with placement of pedicle screws and since then, more advanced robots with promising clinical outcomes have been introduced. Currently, robotic platforms are limited to pedicle screw placement. However, there are centers investigating the role of robotics in decompression, dural closure, and pre-planned osteotomies. Robot-assisted spine surgery has been shown to increase the accuracy of pedicle screw placement and decrease radiation exposure to surgeons. However, modern robotic technology also has certain disadvantages including a high introductory cost, steep learning curve, and inherent technological glitches. Currently, robotic spine surgery is in its infancy and most of the objective evidence available regarding its benefits draws from the use of robots in a shared-control model to assist with the placement of pedicle screws. As artificial intelligence software and feedback sensor design become more sophisticated, robots could facilitate other, more complex surgical tasks such as bony decompression or dural closure. The accuracy and precision afforded by the current robots available for use in spinal surgery potentially allow for even less tissue destructive and more meticulous MIS surgery. This article aims to provide a contemporary review of the use of robotics in MIS surgery.

Entities:  

Keywords:  Minimally invasive spine (MIS); robotic spinal surgery; robotics

Year:  2019        PMID: 31380491      PMCID: PMC6626754          DOI: 10.21037/jss.2019.04.16

Source DB:  PubMed          Journal:  J Spine Surg        ISSN: 2414-4630


  13 in total

1.  Development of an Intraoperative Pipeline for Holographic Mixed Reality Visualization During Spinal Fusion Surgery.

Authors:  Vivek P Buch; Kobina G Mensah-Brown; James W Germi; Brian J Park; Peter J Madsen; Austin J Borja; Debanjan Haldar; Patricia Basenfelder; Jang W Yoon; James M Schuster; Han-Chiao I Chen
Journal:  Surg Innov       Date:  2020-12-31       Impact factor: 2.058

2.  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

Review 3.  Beyond Placement of Pedicle Screws - New Applications for Robotics in Spine Surgery: A Multi-Surgeon, Single-Institution Experience.

Authors:  Troy Q Tabarestani; David Sykes; Kelly R Murphy; Timothy Y Wang; Christopher I Shaffrey; C Rory Goodwin; Phillip Horne; Khoi D Than; Muhammad M Abd-El-Barr
Journal:  Front Surg       Date:  2022-06-16

4.  What Are Patients Saying About Minimally Invasive Spine Surgeons Online: A Sentiment Analysis of 2,235 Physician Review Website Reviews.

Authors:  Justin Tang; Christopher A White; Varun Arvind; Samuel Cho; Jun S Kim; Jeremy Steinberger
Journal:  Cureus       Date:  2022-04-13

5.  Patients are Most Interested in Which Hip Arthroplasty Approach? A 15-year Google Trends Analysis.

Authors:  M Lane Moore; Joseph C Brinkman; Jordan R Pollock; David G Deckey; Justin L Makovicka; Joshua S Bingham
Journal:  Arthroplast Today       Date:  2022-09-21

Review 6.  The Future of Skull Base Surgery: A View Through Tinted Glasses.

Authors:  Laligam N Sekhar; Gordana Juric-Sekhar; Zeeshan Qazi; Anoop Patel; Lynn B McGrath; James Pridgeon; Niveditha Kalavakonda; Blake Hannaford
Journal:  World Neurosurg       Date:  2020-06-27       Impact factor: 2.104

7.  Perspective on the integration of optical sensing into orthopedic surgical devices.

Authors:  Carl Fisher; James Harty; Albert Yee; Celina L Li; Katarzyna Komolibus; Konstantin Grygoryev; Huihui Lu; Ray Burke; Brian C Wilson; Stefan Andersson-Engels
Journal:  J Biomed Opt       Date:  2022-01       Impact factor: 3.758

Review 8.  Perspective on robotic spine surgery: Who's doing the thinking?

Authors:  Nancy E Epstein
Journal:  Surg Neurol Int       Date:  2021-10-19

9.  Evaluation of K-wireless robotic and navigation assisted pedicle screw placement in adult degenerative spinal surgery: learning curve and technical notes.

Authors:  Fedan Avrumova; Kyle W Morse; Madison Heath; Roger F Widmann; Darren R Lebl
Journal:  J Spine Surg       Date:  2021-06

10.  What Is the Comparison in Robot Time per Screw, Radiation Exposure, Robot Abandonment, Screw Accuracy, and Clinical Outcomes Between Percutaneous and Open Robot-Assisted Short Lumbar Fusion?: A Multicenter, Propensity-Matched Analysis of 310 Patients.

Authors:  Nathan J Lee; Ian A Buchanan; Scott L Zuckermann; Venkat Boddapati; Justin Mathew; Matthew Geiselmann; Paul J Park; Eric Leung; Avery L Buchholz; Asham Khan; Jeffrey Mullin; John Pollina; Ehsan Jazini; Colin Haines; Thomas C Schuler; Christopher R Good; Joseph M Lombardi; Ronald A Lehman
Journal:  Spine (Phila Pa 1976)       Date:  2022-01-01       Impact factor: 3.468

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