The International Journal of Medical Robotics and Computer Assisted Surgery
2023 Dec 13:e2610. doi: 10.1002/rcs.2610. Online ahead of print.

Denys Fontaine , Fabien Almairac, Bruno Chiapello, Aurélie Leplus

Abstract

Objective: to measure the in vivo application accuracy of Neuromate robot-assisted deep brain stimulation procedures (DBS) using the new, non-invasive, frameless Neurolocate registration method.

Methods: Neurolocate accuracy was measured in 17 patients undergoing DBS (32 leads). The registration was obtained by automatic recognition of the spatial location of the Neurolocate fiducials, fixed on the robot arm, on 3D intraoperative computerized tomography (CT) images relative to the patient’s skull contours. Application accuracy was measured as the Euclidian distance between the points theoretically targeted on preoperative magnetic resonance imagingand the tip of the guiding tube visible on intraoperative CT images after merging images.

Results: Mean robot inaccuracy was 0.72 mm (SD 0.40; range 0.2-1.7 mm). Inaccuracies ≥1.5 mm were observed in 2/32 cases.

Conclusion: Our study confirms in vivo that the accuracy of the Neurolocate registration is compatible with the accuracy required for DBS procedures.

Keywords: accuracy; deep brain stimulation; registration; robot; robotic surgery.

  • PMID: 38093525
  • DOI: 10.1002/rcs.2610

© 2023 The Authors. The International Journal of Medical Robotics and Computer Assisted Surgery published by John Wiley & Sons Ltd.

Application accuracy of Neuromate robot-guided deep brain stimulation procedures using the non-invasive frameless Neurolocate registration system