0 342

Cited 2 times in

Novel C-arm-based planning robotic spinal surgery in a cadaver model using quantitative accuracy assessment methodology

Authors
 Sangman Park  ;  Hyung Cheol Kim  ;  Yeongha Jeong  ;  Dongyun Kim  ;  Seungjae Ryu  ;  Seongpung Lee  ;  Yongyeob Cha  ;  Sungteac Hwang  ;  Donggi Woo  ;  Hongho Kim  ;  Dong Ah Shin  ;  Yoon Ha  ;  Keung Nyun Kim  ;  Do Heum Yoon  ;  Seong Yi 
Citation
 INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, Vol.18(6) : e2442, 2022-12 
Journal Title
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY
ISSN
 1478-5951 
Issue Date
2022-12
MeSH
Cadaver ; Humans ; Pedicle Screws* ; Retrospective Studies ; Robotic Surgical Procedures* / methods ; Spinal Fusion* / methods ; Spine / surgery ; Surgery, Computer-Assisted* / methods
Keywords
C-arm image ; cadaveric study ; navigated robotic system ; pedicle screw placement ; spine surgery
Abstract
Background: This preclinical study emulating the clinical environment quantitatively analysed the accuracy of pedicle screw insertion using a navigated robotic system.

Methods: Pedicle screws were placed from T7 to L5 in the whole-body form of a cadaver. After the insertion of multiple artificial markers into each vertebra, errors between the planned insertion path and the inserted screw were quantified using the Gertzbein-Robbins system (GRS) and offset calculation.

Results: A total of 22 screws were placed. Almost all (95.45% [21/22]) were classified as GRS A or B, while one (4.55%) was GRS C. The mean and standard deviations of entry, tip, and angular offset were 1.78 ± 0.94 mm, 2.30 ± 1.01 mm, and 2.64 ± 1.05°, respectively.

Conclusions: This study demonstrated that pedicle screw insertion using a navigated robotic system had high accuracy and safety. A future clinical study is necessary to validate our findings.
Full Text
https://onlinelibrary.wiley.com/doi/10.1002/rcs.2442
DOI
10.1002/rcs.2442
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Keung Nyun(김긍년)
Kim, Hyung Cheol(김형철)
Park, Sang Man(박상만)
Shin, Dong Ah(신동아) ORCID logo https://orcid.org/0000-0002-5225-4083
Yoon, Do Heum(윤도흠) ORCID logo https://orcid.org/0000-0003-1452-5724
Yi, Seong(이성)
Jeong, Yeong Ha(정영하)
Ha, Yoon(하윤)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/192361
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links