Volume 23, Issue 11 (November 2023)
Modares Mechanical Engineering 2023, 23(11): 607-614 |
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Moradihaghighat R, Rostami M, Ghasemi M A, Kohandani Z M. Design and Construction of a Computer-Assisted Device Applicable for Accurate Pedicle Screw Placement in Spinal Fusion Surgery. Modares Mechanical Engineering 2023; 23 (11) :607-614
URL: http://mme.modares.ac.ir/article-15-68353-en.html
URL: http://mme.modares.ac.ir/article-15-68353-en.html
1- Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
2- Motion Analysis Lab, School of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran ,rostami@aut.ac.com
3- Alghadir Hospital, Tehran, Iran
4- Faculty of AEIoT, IMT Atlantique University, Rennes, France
2- Motion Analysis Lab, School of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran ,
3- Alghadir Hospital, Tehran, Iran
4- Faculty of AEIoT, IMT Atlantique University, Rennes, France
Abstract: (849 Views)
Background:
The purpose of this study is to develop a new surgeon assistant device applicable in open spinal fusion surgery to improve the accuracy of the entry point for pedicle screw insertion position.
Methods:
We developed a new device named Surgeon Assistant Pedicle Detector (SA_PeD). SA_PeD detects and shows the accurate entry point for pedicle screw insertion to the surgeon, by using preoperative planning, registration and tracking phases.
Results:
The tests were made by eight operators and each of them on five vertebrae with two holes. The results show that the average position error is 0.52±0.26mm. Repeatability and reproducibility of device is also reported which is impressive. The device is also independent of the operator and has same result for all operators.
Conclusions:
Considering that maximizing the accuracy, increases costs exponentially, so the device is cost effective in comparison to other expensive robotic and navigation systems and greatly reduces the number of errors. The device also occupies little space in the operating room and is easy to learn for the surgeon to use it.
The purpose of this study is to develop a new surgeon assistant device applicable in open spinal fusion surgery to improve the accuracy of the entry point for pedicle screw insertion position.
Methods:
We developed a new device named Surgeon Assistant Pedicle Detector (SA_PeD). SA_PeD detects and shows the accurate entry point for pedicle screw insertion to the surgeon, by using preoperative planning, registration and tracking phases.
Results:
The tests were made by eight operators and each of them on five vertebrae with two holes. The results show that the average position error is 0.52±0.26mm. Repeatability and reproducibility of device is also reported which is impressive. The device is also independent of the operator and has same result for all operators.
Conclusions:
Considering that maximizing the accuracy, increases costs exponentially, so the device is cost effective in comparison to other expensive robotic and navigation systems and greatly reduces the number of errors. The device also occupies little space in the operating room and is easy to learn for the surgeon to use it.
Article Type: Original Research |
Subject:
Robotic
Received: 2023/04/5 | Accepted: 2023/10/29 | Published: 2023/11/1
Received: 2023/04/5 | Accepted: 2023/10/29 | Published: 2023/11/1
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