Literature DB >> 33837612

A robotic system for spine surgery positioning and pedicle screw placement.

Jian Zhang1, Weishi Li2, Lei Hu1, Tianmiao Wang1.   

Abstract

BACKGROUND: In recent years, surgeons have explored minimally invasive methods of percutaneous pedicle screw implantation which can effectively reduce human injuries. This article presents an accurate and efficient positioning method and robot system for percutaneous needle placement under c-arm fluoroscopy.
METHODS: A simple five degree of freedom (DOF) robot with a unique end-effector is designed to perform perspective calibration and image space registration. The principle of pedicle standard axis positioning is adopted to make the axis of the pedicle overlap with the x-ray axis of c-arm.
RESULTS: Then the clinical operation is carried out to verify the clinical feasibility of the designed robot and positioning method. The experimental results show that a total of 26 pedicle screws were accurately implanted. The accuracy of Grade A is 96.15%. The positioning time of a single guide pin is about 154.77 s, and three x-ray films need to be taken on average.
CONCLUSIONS: The positioning accuracy is increased by using the present method. In addition, this method is simple in operation, short in operation time, low in X-ray exposure.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  fluoroscopy guidance; minimally invasive surgery; pedicle screw placement; robot assisted; spinal surgery robot

Year:  2021        PMID: 33837612     DOI: 10.1002/rcs.2262

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  2 in total

1.  Tissue Recognition Based on Electrical Impedance Classified by Support Vector Machine in Spinal Operation Area.

Authors:  Bingrong Chen; Yongwang Shi; Jiahao Li; Jiliang Zhai; Liang Liu; Wenyong Liu; Lei Hu; Yu Zhao
Journal:  Orthop Surg       Date:  2022-08-01       Impact factor: 2.279

2.  A photoacoustics-enhanced drilling probe for radiation-free pedicle screw implantation in spinal surgery.

Authors:  Li Liu; Yongjian Zhao; Ang Li; Xianghu Yu; Xiao Xiao; Siyu Liu; Max Q-H Meng
Journal:  Front Bioeng Biotechnol       Date:  2022-09-15
  2 in total

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