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

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 hav...

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Main Authors: A. Karim Ahmed, Corinna C. Zygourakis, Samuel Kalb, Alex M. Zhu, Camilo A. Molina, Bowen Jiang, Ari M. Blitz, Ali Bydon, Neil R. Crawford, Nicholas Theodore
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Computer Assisted Surgery
Subjects:
Online Access:http://dx.doi.org/10.1080/24699322.2018.1542029
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author A. Karim Ahmed
Corinna C. Zygourakis
Samuel Kalb
Alex M. Zhu
Camilo A. Molina
Bowen Jiang
Ari M. Blitz
Ali Bydon
Neil R. Crawford
Nicholas Theodore
author_facet A. Karim Ahmed
Corinna C. Zygourakis
Samuel Kalb
Alex M. Zhu
Camilo A. Molina
Bowen Jiang
Ari M. Blitz
Ali Bydon
Neil R. Crawford
Nicholas Theodore
author_sort A. Karim Ahmed
collection DOAJ
description 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.
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spelling doaj.art-43e43d74e6184f21b79fb5a2e722983e2022-12-21T18:42:30ZengTaylor & Francis GroupComputer Assisted Surgery2469-93222019-01-01241131710.1080/24699322.2018.15420291542029First spine surgery utilizing real-time image-guided robotic assistanceA. Karim Ahmed0Corinna C. Zygourakis1Samuel Kalb2Alex M. Zhu3Camilo A. Molina4Bowen Jiang5Ari M. Blitz6Ali Bydon7Neil R. Crawford8Nicholas Theodore9Johns Hopkins School of MedicineJohns Hopkins School of MedicineJohns Hopkins School of MedicineJohns Hopkins School of MedicineJohns Hopkins School of MedicineJohns Hopkins School of MedicineJohns Hopkins School of MedicineJohns Hopkins School of MedicineSt Joseph’s Hospital and Medical CenterJohns Hopkins School of MedicineRobotics 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.http://dx.doi.org/10.1080/24699322.2018.1542029spinerobot-assistedroboticsregistrationpedicle screwsneurosurgeryneuronavigationnavigationimage guided surgeryintraoperative imaging
spellingShingle A. Karim Ahmed
Corinna C. Zygourakis
Samuel Kalb
Alex M. Zhu
Camilo A. Molina
Bowen Jiang
Ari M. Blitz
Ali Bydon
Neil R. Crawford
Nicholas Theodore
First spine surgery utilizing real-time image-guided robotic assistance
Computer Assisted Surgery
spine
robot-assisted
robotics
registration
pedicle screws
neurosurgery
neuronavigation
navigation
image guided surgery
intraoperative imaging
title First spine surgery utilizing real-time image-guided robotic assistance
title_full First spine surgery utilizing real-time image-guided robotic assistance
title_fullStr First spine surgery utilizing real-time image-guided robotic assistance
title_full_unstemmed First spine surgery utilizing real-time image-guided robotic assistance
title_short First spine surgery utilizing real-time image-guided robotic assistance
title_sort first spine surgery utilizing real time image guided robotic assistance
topic spine
robot-assisted
robotics
registration
pedicle screws
neurosurgery
neuronavigation
navigation
image guided surgery
intraoperative imaging
url http://dx.doi.org/10.1080/24699322.2018.1542029
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