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...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2019-01-01
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Series: | Computer Assisted Surgery |
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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. |
first_indexed | 2024-12-22T02:07:36Z |
format | Article |
id | doaj.art-43e43d74e6184f21b79fb5a2e722983e |
institution | Directory Open Access Journal |
issn | 2469-9322 |
language | English |
last_indexed | 2024-12-22T02:07:36Z |
publishDate | 2019-01-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Computer Assisted Surgery |
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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