Literature DB >> 28463618

Current applications of robotics in spine surgery: a systematic review of the literature.

Jacob R Joseph1, Brandon W Smith1, Xilin Liu1, Paul Park1.   

Abstract

OBJECTIVE Surgical robotics has demonstrated utility across the spectrum of surgery. Robotics in spine surgery, however, remains in its infancy. Here, the authors systematically review the evidence behind robotic applications in spinal instrumentation. METHODS This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Relevant studies (through October 2016) that reported the use of robotics in spinal instrumentation were identified from a search of the PubMed database. Data regarding the accuracy of screw placement, surgeon learning curve, radiation exposure, and reasons for robotic failure were extracted. RESULTS Twenty-five studies describing 2 unique robots met inclusion criteria. Of these, 22 studies evaluated accuracy of spinal instrumentation. Although grading of pedicle screw accuracy was variable, the most commonly used method was the Gertzbein and Robbins system of classification. In the studies using the Gertzbein and Robbins system, accuracy (Grades A and B) ranged from 85% to 100%. Ten studies evaluated radiation exposure during the procedure. In studies that detailed fluoroscopy usage, overall fluoroscopy times ranged from 1.3 to 34 seconds per screw. Nine studies examined the learning curve for the surgeon, and 12 studies described causes of robotic failure, which included registration failure, soft-tissue hindrance, and lateral skiving of the drill guide. CONCLUSIONS Robotics in spine surgery is an emerging technology that holds promise for future applications. Surgical accuracy in instrumentation implanted using robotics appears to be high. However, the impact of robotics on radiation exposure is not clear and seems to be dependent on technique and robot type.

Entities:  

Keywords:  FT = fluoroscopy time; GO-LIF = guided oblique lumbar interbody fusion; GRS = Gertzbein and Robbins system; Mazor; PLIF = posterior lumbar interbody fusion; RCT = randomized controlled trial; ROSA; Renaissance; SpineAssist; spine surgery; surgical robotics

Mesh:

Year:  2017        PMID: 28463618     DOI: 10.3171/2017.2.FOCUS16544

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


  40 in total

Review 1.  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

2.  Robot-assisted and conventional freehand pedicle screw placement: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Shutao Gao; Zhengtao Lv; Huang Fang
Journal:  Eur Spine J       Date:  2017-10-14       Impact factor: 3.134

3.  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 4.  New spinal robotic technologies.

Authors:  Bowen Jiang; Tej D Azad; Ethan Cottrill; Corinna C Zygourakis; Alex M Zhu; Neil Crawford; Nicholas Theodore
Journal:  Front Med       Date:  2019-10-31       Impact factor: 4.592

5.  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

6.  The accuracy of robot-assisted S2 alar-iliac screw placement at two different healthcare centers.

Authors:  Nathan J Lee; Asham Khan; Joseph M Lombardi; Venkat Boddapati; Paul J Park; Justin Mathew; Eric Leung; Jeffrey P Mullin; John Pollina; Ronald A Lehman
Journal:  J Spine Surg       Date:  2021-09

7.  [Short-term effectiveness comparison between robotic-guided percutaneous minimally invasive pedicle screw internal fixation and traditional open internal fixation in treatment of thoracolumbar fractures].

Authors:  Shu Lin; Jiang Hu; Lun Wan; Liuyi Tang; Yue Wang; Yang Yu; Wei Zhang
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2020-01-15

8.  Initial Single-Institution Experience With a Novel Robotic-Navigation System for Thoracolumbar Pedicle Screw and Pelvic Screw Placement With 643 Screws.

Authors:  Deeptee Jain; Jordan Manning; Elizabeth Lord; Themistocles Protopsaltis; Yong Kim; Aaron J Buckland; John Bendo; Charla Fischer; Jeffrey Goldstein
Journal:  Int J Spine Surg       Date:  2019-10-31

9.  Robotic-Assisted Pedicle Screw Placement During Spine Surgery.

Authors:  Isador H Lieberman; Stanley Kisinde; Shea Hesselbacher
Journal:  JBJS Essent Surg Tech       Date:  2020-05-21

10.  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
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