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Table of Contents    
NI FEATURE: THE FIRST IMPRESSION
Year : 2021  |  Volume : 69  |  Issue : 3  |  Page : 543-544

Robotic Stereotactic EEG


Department of Neurosurgery, LSU Health Sciences, Shreveport, USA

Date of Submission18-Jun-2021
Date of Decision18-Jun-2021
Date of Acceptance18-Jun-2021
Date of Web Publication24-Jun-2021

Correspondence Address:
Dr. Sandeep Kandregula
Department of Neurosurgery, LSU Health Sciences, Shreveport
USA
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0028-3886.319258

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How to cite this article:
Kandregula S, Guthikonda B. Robotic Stereotactic EEG. Neurol India 2021;69:543-4

How to cite this URL:
Kandregula S, Guthikonda B. Robotic Stereotactic EEG. Neurol India [serial online] 2021 [cited 2023 Sep 26];69:543-4. Available from: https://www.neurologyindia.com/text.asp?2021/69/3/543/319258


Stereotactic electroencephalography (SEEG) is a minimally invasive surgical and electrophysiological technique to identify the epileptic zone (EZ) in pharmacoresistant epilepsy. The application of robotic technology in SEEG improves precision and accuracy, allowing multiple trajectory angles, obviating the need for arduous, time-consuming stereotactic frame adjustments. Accuracy of SEEG was calculated using entry point errors (EPE), target point errors (TPE) calculated as Euclidean distances between the planned trajectories and actual trajectories. Various studies reported improved accuracy of robotic SEEG along with shorter surgical time. Martinez et al. reported 3.5 hours faster than conventional SEEG and a major morbidity rate of 1%.[1] Technological developments and increased application of technology in the medical fields have contributed to the more widespread robotic assistance practice in neurosurgery. In this abstract illustration, we intend to show the application of the robotic arm in SEEG.



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1.
Gonzalez-Martinez J, Bulacio J, Thompson S, Gale J, Smithason S, Najm I, et al. Technique, Results, and Complications Related to Robot-Assisted Stereoelectroencephalography. Neurosurgery 2016;78:169-80.  Back to cited text no. 1
    




 

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