Placement of Stereotactic Electroencephalography Depth Electrodes Using the Stealth Autoguide Robotic System: Technical Methods and Initial Results.


Journal

Operative neurosurgery (Hagerstown, Md.)
ISSN: 2332-4260
Titre abrégé: Oper Neurosurg (Hagerstown)
Pays: United States
ID NLM: 101635417

Informations de publication

Date de publication:
01 04 2022
Historique:
received: 19 05 2021
accepted: 01 11 2021
entrez: 15 3 2022
pubmed: 16 3 2022
medline: 26 4 2022
Statut: ppublish

Résumé

Robotic systems are gaining acceptance as a preferred tool for the placement of electrodes for stereotactic electroencephalography (SEEG) studies. To describe the technical methods for insertion of SEEG using the Medtronic Stealth Autoguide robotic system and detailed outcomes in the initial 9 patients implanted. Nine patients underwent placement of electrodes for SEEG studies with the use of the Autoguide system. Patients had at least 10 electrodes placed. Targets were planned on a Stealth S8 planning station, and electrodes were placed under general anesthesia. A technique for placement is described in detail. Patient outcomes and accuracy of electrode placement were evaluated. Methods to improve accuracy were investigated. Comparison of postoperative MRIs with preoperative planning MRIs was performed to determine the accuracy of electrode placement. One hundred two electrodes were placed in 9 patients. Methods for placement and technical nuances are detailed. The distance from the planned target to the actual position of the electrode tip was measured in 8 of the 9 patients. The mean Euclidean distance was 4.67 ± 0.27 mm. There was 1 placement-related hemorrhage deficit in the first patient, and no deaths or infections. Adequate positioning of electrodes for seizure monitoring was obtained in all patients. Autoguide can be used for placement of electrodes for SEEG studies with acceptable degrees of patient safety, accuracy, and efficiency. Considering the cost of Autoguide compared with other robotic devices, it may be attractive option.

Sections du résumé

BACKGROUND
Robotic systems are gaining acceptance as a preferred tool for the placement of electrodes for stereotactic electroencephalography (SEEG) studies.
OBJECTIVE
To describe the technical methods for insertion of SEEG using the Medtronic Stealth Autoguide robotic system and detailed outcomes in the initial 9 patients implanted.
METHODS
Nine patients underwent placement of electrodes for SEEG studies with the use of the Autoguide system. Patients had at least 10 electrodes placed. Targets were planned on a Stealth S8 planning station, and electrodes were placed under general anesthesia. A technique for placement is described in detail. Patient outcomes and accuracy of electrode placement were evaluated. Methods to improve accuracy were investigated. Comparison of postoperative MRIs with preoperative planning MRIs was performed to determine the accuracy of electrode placement.
RESULTS
One hundred two electrodes were placed in 9 patients. Methods for placement and technical nuances are detailed. The distance from the planned target to the actual position of the electrode tip was measured in 8 of the 9 patients. The mean Euclidean distance was 4.67 ± 0.27 mm. There was 1 placement-related hemorrhage deficit in the first patient, and no deaths or infections. Adequate positioning of electrodes for seizure monitoring was obtained in all patients.
CONCLUSION
Autoguide can be used for placement of electrodes for SEEG studies with acceptable degrees of patient safety, accuracy, and efficiency. Considering the cost of Autoguide compared with other robotic devices, it may be attractive option.

Identifiants

pubmed: 35289779
doi: 10.1227/ONS.0000000000000110
pii: 01787389-202204000-00012
pmc: PMC10602512
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e150-e157

Subventions

Organisme : NINDS NIH HHS
ID : U01 NS117839
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © Congress of Neurological Surgeons 2022. All rights reserved.

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Auteurs

Angelique Sao-Mai S Tay (ASS)

Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Simon A Menaker (SA)

Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Julie L Chan (JL)

Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Adam N Mamelak (AN)

Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Comprehensive Epilepsy Center, Cedars-Sinai Medical Center, Los Angeles, California, USA.

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Classifications MeSH