A Method of Intraoperative Registration Verification to Prevent Accuracy Errors in Robot-Assisted Stereotactic Electroencephalography Electrode Placement

Authors

Miner N. Ross, Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA. Electronic address: rossmn@ohsu.edu.
Erik W. Larson, Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.
Maryam N. Shahin, Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.
Nasser K. Yaghi, Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.
David J. Mazur-Hart, Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.
Ann Mitchell, Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.
Faye Mulcahy, Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.
Lia D. Ernst, Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.
Kelly L. Collins, Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.
Nathan R. Selden, Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.
Ahmed M. Raslan, Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.

Document Type

Article

Abstract

BACKGROUND: Robotic-assisted stereotactic electroencephalography (sEEG) electrode placement is increasingly common at specialized epilepsy centers. High accuracy and low complication rates are essential to realizing the benefits of sEEG surgery. The aim of this study was to describe for the first time in the literature a method for a stereotactic registration checkpoint to verify intraoperative accuracy during robotic-assisted sEEG and to report our institutional experience with this technique. METHODS: All cases performed with this technique since the adoption of robotic-assisted sEEG at our institution were retrospectively reviewed. RESULTS: In 4 of 111 consecutive sEEG operations, use of the checkpoint detected an intraoperative registration error, which was addressed before completion of sEEG electrode placement. CONCLUSIONS: The use of a registration checkpoint in robotic-assisted sEEG surgery is a simple technique that can prevent electrode misplacement and improve the safety profile of this procedure.

Medical Subject Headings

Humans; Stereotaxic Techniques; Retrospective Studies; Robotics; Electrodes, Implanted; Electroencephalography (methods)

Publication Date

3-1-2023

Publication Title

World neurosurgery

E-ISSN

1878-8769

Volume

171

First Page

1

Last Page

4

PubMed ID

36563849

Digital Object Identifier (DOI)

10.1016/j.wneu.2022.12.075

Recommended Citation

Ross, Miner N.; Larson, Erik W.; Shahin, Maryam N.; Yaghi, Nasser K.; Mazur-Hart, David J.; Mitchell, Ann; Mulcahy, Faye; Ernst, Lia D.; Collins, Kelly L.; Selden, Nathan R.; and Raslan, Ahmed M., "A Method of Intraoperative Registration Verification to Prevent Accuracy Errors in Robot-Assisted Stereotactic Electroencephalography Electrode Placement" (2023). Neurosurgery. 1913.
https://scholar.barrowneuro.org/neurosurgery/1913