ORIGINAL RESEARCH article
Front. Robot. AI
Sec. Biomedical Robotics
This article is part of the Research TopicRobotics in Orthopedics and NeurosurgeryView all articles
Accuracy of Robot-assisted anterior transpedicular screws in the subaxial cervical spine: an experimental study on human specimens
Provisionally accepted- 1Department of Orthopaedics, The First Affiliated Hospital of China Medical University, Shenyang, China
- 2Wuhan United Imaging Surgical Co., Ltd, Wuhan, China
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Study Design: Prospective study. Objectives: This study aimed to evaluate the accuracy and safety of robot-assisted anterior transpedicular screw (ATPS) fixation in human cervical spine specimens. Methods: A spine robotic system was used to implant thirty-six 1.2 mm Kirschner wires (K-wires) into the cervical pedicles (C4–C7) of five human specimens. Accuracy was assessed by comparing the planned trajectories with the actual K-wire positions. The Gertzbein-Robbins classification system (GRS), adapted for cervical pedicles, was used to evaluate accuracy; Grades A and B (<2 mm pedicle breach) were considered clinically acceptable. Secondary metrics included entry point and angle offsets. Results: Of the 36 K-wires implanted, 9 were placed in C4 and C6, 10 in C5, and 8 in C7. According to the adapted GRS, 25 placements (69.4%) were Grade A, 10 (27.8%) were Grade B, and one was Grade C, resulting in a 97.2% clinically acceptable placement rate. The mean target offset was 2.29 ± 1.72 mm, the entry offset was 2.47 ± 1.57 mm, and the angle offset was 5.67 ± 3.72°. No significant differences were observed between the left and right sides (p > 0.05). Conclusions: Robot-assisted ATPS fixation in cervical specimens achieved high accuracy with 97.2% of placements rated clinically acceptable, indicating its technical feasibility and potential utility in anterior cervical procedures.
Keywords: accuracy of screw placement, Anterior cervical surgery, anterior transpedicular screw (ATPS), human cadaveric study, Robot-assisted surgery
Received: 15 Aug 2025; Accepted: 12 Dec 2025.
Copyright: © 2025 Lin, Sun, Xi, Yuan, Cao, Xie and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yue Zhu
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