Literature DB >> 30497893

Electrode placement accuracy in robot-assisted epilepsy surgery: A comparison of different referencing techniques including frame-based CT versus facial laser scan based on CT or MRI.

Andrea Spyrantis1, Adriano Cattani2, Tirza Woebbecke2, Jürgen Konczalla2, Adam Strzelczyk3, Felix Rosenow3, Marlies Wagner4, Volker Seifert2, Manfred Kudernatsch5, Thomas M Freiman6.   

Abstract

BACKGROUND: Precise robotic or stereotactic implantation of stereoelectroencephalography (sEEG) electrodes relies on the exact referencing of the planning images in order to match the patient's anatomy to the stereotactic device or robot. We compared the accuracy of sEEG electrode implantation with stereotactic frame versus laser scanning of the face based on computed tomography (CT) or magnetic resonance imaging (MRI) datasets for referencing.
METHODS: The accuracy was determined by calculating the Euclidian distance between the planned trajectory and the postoperative position of the sEEG electrode, defining the entry point error (EPE) and the target point error (TPE). The sEEG electrodes (n = 171) were implanted with the robotic surgery assistant (ROSA) in 19 patients. Preoperative trajectory planning was performed on three-dimensional (3D) MRI datasets. Referencing was accomplished either by performing (A) 1.25-mm slice CT with the patient's head fixed in a Leksell stereotactic frame (CT-frame, n = 49), fused with a 3D-T1-weighted, contrast enhanced- and T2-weighted 1.5 Tesla (T) MRI; (B) 1.25 mm CT (CT-laser, n = 60), fused with 3D-3.0-T MRI; (C) 3.0-T MRI T1-based laser scan (3.0-T MRI-laser, n = 56) or (D) in one single patient, because of a pacemaker, 3D-1.5-T MRI T1-based laser scan (1.5-T MRI-laser, n = 6).
RESULTS: In (A) CT-frame referencing, the mean EPE amounted to 0.86 mm and the mean TPE amounted to 2.28 mm (n = 49). In (B) CT-laser referencing, the EPE amounted to 1.85 mm and the TPE to 2.41 mm (n = 60). In (C) 3.0-T MRI-laser referencing, the mean EPE amounted to 3.02 mm and the mean TPE to 3.51 mm (n = 56). In (D) 1.5-T MRI, surprisingly the mean EPE amounted only to 0.97 mm and the TPE to 1.71 mm (n = 6). In 3 cases using CT-laser and 1 case using 3.0 T MRI-laser for referencing, small asymptomatic intracerebral hemorrhages were detected. No further complications were observed.
CONCLUSION: Robot-guided sEEG electrode implantation using CT-frame referencing and CT-laser-based referencing is most accurate and can serve for high precision placement of electrodes. In contrast, 3.0-T MRI-laser-based referencing is less accurate, but saves radiation. Most trajectories can be reached if alternative routes over less vascularized brain areas are used. This article is part of the Special Issue "Individualized Epilepsy Management: Medicines, Surgery and Beyond".
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accuracy; Referencing; Robot assisted surgery; Stereoelectroencephalography

Mesh:

Year:  2018        PMID: 30497893     DOI: 10.1016/j.yebeh.2018.11.002

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  4 in total

1.  VarioGuide® frameless neuronavigation-guided stereoelectroencephalography in adult epilepsy patients: technique, accuracy and clinical experience.

Authors:  Barbara Ladisich; Lukas Machegger; Alexander Romagna; Herbert Krainz; Jürgen Steinbacher; Markus Leitinger; Gudrun Kalss; Niklas Thon; Eugen Trinka; Peter A Winkler; Christoph Schwartz
Journal:  Acta Neurochir (Wien)       Date:  2021-02-13       Impact factor: 2.216

2.  FreeSurfer and 3D Slicer-Assisted SEEG Implantation for Drug-Resistant Epilepsy.

Authors:  Qiangqiang Liu; Junjie Wang; Changquan Wang; Fang Wei; Chencheng Zhang; Hongjiang Wei; Xiaolai Ye; Jiwen Xu
Journal:  Front Neurorobot       Date:  2022-02-28       Impact factor: 2.650

3.  Accuracy of Robotic and Frame-Based Stereotactic Neurosurgery in a Phantom Model.

Authors:  Andrea Spyrantis; Tirza Woebbecke; Daniel Rueß; Anne Constantinescu; Andreas Gierich; Klaus Luyken; Veerle Visser-Vandewalle; Eva Herrmann; Florian Gessler; Marcus Czabanka; Harald Treuer; Maximilian Ruge; Thomas M Freiman
Journal:  Front Neurorobot       Date:  2022-03-25       Impact factor: 3.493

Review 4.  How technology is driving the landscape of epilepsy surgery.

Authors:  Christian Dorfer; Bertil Rydenhag; Gordon Baltuch; Vivek Buch; Jeffrey Blount; Robert Bollo; Jason Gerrard; Daniel Nilsson; Karl Roessler; James Rutka; Ashwini Sharan; Dennis Spencer; Arthur Cukiert
Journal:  Epilepsia       Date:  2020-03-29       Impact factor: 6.740

  4 in total

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