Three-Dimensional Quantitative Assessment of Pedicle Screw Accuracy in Clinical Utilization of a New Robotic System in Spine Surgery: A Multicenter Study

Byeong Jin Ha, Jong Min Lee, Seon Jin Yoon, Byung Kwan Kim, Junseok Lee, Suhun Lee, Seungjae Ryu, Yongyeob Cha, Sungteac Hwang, Donggi Woo, Chang Kyu Lee, Dong Ah Shin, Yoon Ha, Sung Uk Kuh, Keung Nyun Kim, Dongwuk Son, Seong Yi

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Objective: The objective of this study was to evaluate the accuracy of pedicle screw placement in patients undergoing percutaneous pedicle screw fixation with robotic guidance, using a newly developed 3-dimensional quantitative measurement system. The study also aimed to assess the clinical feasibility of the robotic system in the field of spinal surgery. Methods: A total of 113 patients underwent pedicle screw insertion using the CUVIS-spine pedicle screw guide system (CUREXO Inc.). Intraoperative O-arm images were obtained, and screw insertion pathways were planned accordingly. Image registration was performed using paired-point registration and iterative closest point methods. The accuracy of the ro-botic-guided pedicle screw insertion was assessed using 3-dimensional offset calculation and the Gertzbein-Robbins system (GRS). Results: A total of 448 screws were inserted in the 113 patients. The image registration success rate was 95. 16%. The average error of entry offset was 2. 86 mm, target offset was 2. 48 mm, depth offset was 1. 99 mm, and angular offset was 3. 07°. According to the GRS grading system, 88. 39% of the screws were classified as grade A, 9. 60% as grade B, 1. 56% as grade C, 0. 22% as grade D, and 0. 22% as grade E. Clinically acceptable screws (GRS grade A or B) accounted for 97. 54% of the total, with no reported neurologic complications. Conclusion: Our study demonstrated that pedicle screw insertion using the novel robot-as-sisted navigation method is both accurate and safe. Further prospective studies are neces-sary to explore the potential benefits of this robot-assisted technique in comparison to conventional approaches.

Original languageEnglish
Pages (from-to)1028-1039
Number of pages12
JournalNeurospine
Volume20
Issue number3
DOIs
Publication statusPublished - 2023 Sept 1

Bibliographical note

Publisher Copyright:
© 2023 by the Korean Spinal Neurosurgery Society.

All Science Journal Classification (ASJC) codes

  • Surgery
  • Clinical Neurology

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