• English
    • íslenska
  • English 
    • English
    • íslenska
  • Login
View Item 
  •   Home
  • Journal Articles, Peer Reviewed (Ritrýndar vísindagreinar)
  • English Journal Articles (Peer Reviewed)
  • View Item
  •   Home
  • Journal Articles, Peer Reviewed (Ritrýndar vísindagreinar)
  • English Journal Articles (Peer Reviewed)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of HirslaCommunitiesAuthorsTitleSubjectsSubject (MeSH)Issue DateJournalThis CollectionAuthorsTitleSubjectsSubject (MeSH)Issue DateJournal

My Account

LoginRegister

Local Links

FAQ - (Icelandic)FAQ - (English)Hirsla LogosAbout LandspitaliLSH Home PageLibrary HomeIcelandic Journals

Statistics

Display statistics

Feasibility and accuracy of a robotic guidance system for navigated spine surgery in a hybrid operating room: a cadaver study.

  • CSV
  • RefMan
  • EndNote
  • BibTex
  • RefWorks
Thumbnail
Name:
Feasibility ....pdf
Size:
1.984Mb
Format:
PDF
Download
Average rating
 
   votes
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item. When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
 
Your vote was cast
Thank you for your feedback
Authors
Burström, Gustav
Balicki, Marcin
Patriciu, Alexandru
Kyne, Sean
Popovic, Aleksandra
Holthuizen, Ronald
Homan, Robert
Skulason, Halldor
Persson, Oscar
Edström, Erik
Elmi-Terander, Adrian
Show allShow less
Issue Date
2020-05-05

Metadata
Show full item record
Citation
Burström G, Balicki M, Patriciu A, et al. Feasibility and accuracy of a robotic guidance system for navigated spine surgery in a hybrid operating room: a cadaver study. Sci Rep. 2020;10(1):7522. Published 2020 May 5. doi:10.1038/s41598-020-64462-x
Abstract
The combination of navigation and robotics in spine surgery has the potential to accurately identify and maintain bone entry position and planned trajectory. The goal of this study was to examine the feasibility, accuracy and efficacy of a new robot-guided system for semi-automated, minimally invasive, pedicle screw placement. A custom robotic arm was integrated into a hybrid operating room (OR) equipped with an augmented reality surgical navigation system (ARSN). The robot was mounted on the OR-table and used to assist in placing Jamshidi needles in 113 pedicles in four cadavers. The ARSN system was used for planning screw paths and directing the robot. The robot arm autonomously aligned with the planned screw trajectory, and the surgeon inserted the Jamshidi needle into the pedicle. Accuracy measurements were performed on verification cone beam computed tomographies with the planned paths superimposed. To provide a clinical grading according to the Gertzbein scale, pedicle screw diameters were simulated on the placed Jamshidi needles. A technical accuracy at bone entry point of 0.48 ± 0.44 mm and 0.68 ± 0.58 mm was achieved in the axial and sagittal views, respectively. The corresponding angular errors were 0.94 ± 0.83° and 0.87 ± 0.82°. The accuracy was statistically superior (p < 0.001) to ARSN without robotic assistance. Simulated pedicle screw grading resulted in a clinical accuracy of 100%. This study demonstrates that the use of a semi-automated surgical robot for pedicle screw placement provides an accuracy well above what is clinically acceptable.
Description
To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Download
Additional Links
https://www.nature.com/articles/s41598-020-64462-x
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200720/
ae974a485f413a2113503eed53cd6c53
10.1038/s41598-020-64462-x
Scopus Count
Collections
English Journal Articles (Peer Reviewed)

entitlement

Related articles

  • Augmented and Virtual Reality Instrument Tracking for Minimally Invasive Spine Surgery: A Feasibility and Accuracy Study.
  • Authors: Burström G, Nachabe R, Persson O, Edström E, Elmi Terander A
  • Issue date: 2019 Aug 1
  • Pedicle screw accuracy in clinical utilization of minimally invasive navigated robot-assisted spine surgery.
  • Authors: Vardiman AB, Wallace DJ, Crawford NR, Riggleman JR, Ahrendtsen LA, Ledonio CG
  • Issue date: 2020 Jun
  • Does the accuracy of pedicle screw placement differ between the attending surgeon and resident in navigated robotic-assisted minimally invasive spine surgery?
  • Authors: Vardiman AB, Wallace DJ, Booher GA, Crawford NR, Riggleman JR, Greeley SL, Ledonio CG
  • Issue date: 2020 Aug
  • Navigated robotic assistance results in improved screw accuracy and positive clinical outcomes: an evaluation of the first 54 cases.
  • Authors: Benech CA, Perez R, Benech F, Greeley SL, Crawford N, Ledonio C
  • Issue date: 2020 Jun
  • Feasibility and Accuracy of Thoracolumbar Minimally Invasive Pedicle Screw Placement With Augmented Reality Navigation Technology.
  • Authors: Elmi-Terander A, Nachabe R, Skulason H, Pedersen K, Söderman M, Racadio J, Babic D, Gerdhem P, Edström E
  • Issue date: 2018 Jul 15

DSpace software (copyright © 2002 - 2021)  DuraSpace
Quick Guide | Contact Us
Open Repository is a service operated by 
Atmire NV
 

Export search results

The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.