Literature DB >> 30821536

First spine surgery utilizing real-time image-guided robotic assistance.

A Karim Ahmed1, Corinna C Zygourakis1, Samuel Kalb1,2, Alex M Zhu1, Camilo A Molina1, Bowen Jiang1, Ari M Blitz3, Ali Bydon1, Neil R Crawford2, Nicholas Theodore1.   

Abstract

Robotics in spinal surgery has significant potential benefits for both surgeons and patients, including reduced surgeon fatigue, improved screw accuracy, decreased radiation exposure, greater options for minimally invasive surgery, and less time required to train residents on techniques that can have steep learning curves. However, previous robotic systems have several drawbacks, which are addressed by the innovative ExcelsiusGPSTM robotic system. The robot is secured to the operating room floor, not the patient. It has a rigid external arm that facilitates direct transpedicular drilling and screw placement, without requiring K-wires. In addition, the ExcelsisuGPSTM has integrated neuronavigation, not present in other systems. It also has surveillance marker that immediately alerts the surgeon in the event of loss of registration, and a lateral force meter to alert the surgeon in the event of skiving. Here, we present the first spinal surgery performed with the assistance of this newly approved robot. The surgery was performed with excellent screw placement, minimal radiation exposure to the patient and surgeon, and the patient had a favorable outcome. We report the first operative case with the ExcelsisuGPSTM, and the first spine surgery utilizing real-time image-guided robotic assistance.

Entities:  

Keywords:  neuronavigation; image guided surgery; intraoperative imaging; navigation; neurosurgery; pedicle screws; registration; robot-assisted; robotics; spine

Year:  2019        PMID: 30821536     DOI: 10.1080/24699322.2018.1542029

Source DB:  PubMed          Journal:  Comput Assist Surg (Abingdon)        ISSN: 2469-9322            Impact factor:   1.787


  5 in total

1.  Fluoroscopic Guidance of a Surgical Robot: Pre-clinical Evaluation in Pelvic Guidewire Placement.

Authors:  R C Vijayan; R Han; P Wu; N M Sheth; P Vagdargi; S Vogt; G Kleinszig; G M Osgood; J H Siewerdsen; A Uneri
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-25

2.  Development of a fluoroscopically guided robotic assistant for instrument placement in pelvic trauma surgery.

Authors:  Rohan C Vijayan; Runze Han; Pengwei Wu; Niral M Sheth; Michael D Ketcha; Prasad Vagdargi; Sebastian Vogt; Gerhard Kleinszig; Greg M Osgood; Jeffrey H Siewerdsen; Ali Uneri
Journal:  J Med Imaging (Bellingham)       Date:  2021-06-09

3.  Robotic Spine Surgery: Current State in Minimally Invasive Surgery.

Authors:  Chau D Vo; Bowen Jiang; Tej D Azad; Neil R Crawford; Ali Bydon; Nicholas Theodore
Journal:  Global Spine J       Date:  2020-05-28

4.  Autonomous lumbar spine pedicle screw planning using machine learning: A validation study.

Authors:  Kris B Siemionow; Craig W Forsthoefel; Michael P Foy; Dominik Gawel; Christian J Luciano
Journal:  J Craniovertebr Junction Spine       Date:  2021-09-08

5.  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
  5 in total

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