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

Miner N. Ross, Erik W. Larson, Maryam N. Shahin, Nasser K. Yaghi, David J. Mazur-Hart, Ann Mitchell, Faye Mulcahy, Lia D. Ernst, Kelly L. Collins, Nathan R. Selden, Ahmed M. Raslan

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)1-4
Number of pages4
JournalWorld Neurosurgery
Volume171
DOIs
StatePublished - Mar 2023

Keywords

  • Electroencephalography
  • Robotic-assisted
  • Stereotactic

ASJC Scopus subject areas

  • Surgery
  • Clinical Neurology

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