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

Int J Med Robot. 2022 Dec;18(6):e2442. doi: 10.1002/rcs.2442. Epub 2022 Aug 23.

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.

Keywords: C-arm image; cadaveric study; navigated robotic system; pedicle screw placement; spine surgery.

MeSH terms

  • Cadaver
  • Humans
  • Pedicle Screws*
  • Retrospective Studies
  • Robotic Surgical Procedures* / methods
  • Spinal Fusion* / methods
  • Spine / surgery
  • Surgery, Computer-Assisted* / methods