Literature DB >> 32031356

Visualization of volume of tissue activated modeling in a clinical planning system for deep brain stimulation.

Barbara Carl1,2, Miriam Bopp1,3, Benjamin Saß1, Josefine Waldthaler4, Lars Timmermann4,3, Christopher Nimsky5,3.   

Abstract

BACKGROUND: Pathway activating models try to describe stimulation spread in deep brain stimulation (DBS). Volume of tissue activated (VTA) models are simplified model variants allowing faster and easier computation. Our study aimed to investigate, how VTA visualization can be integrated into a clinical workflow applying directional electrodes using a standard clinical DBS planning system.
METHODS: Twelve patients underwent DBS, using directional electrodes for bilateral subthalamic nucleus (STN) stimulation in Parkinson's disease. Preoperative 3T magnetic resonance imaging was used for automatic visualization of the STN outline, as well as for fiber tractography. Intraoperative computed tomography was used for automatic lead detection. The Guide XT software, closely integrated into the DBS planning software environment, was used for VTA calculation and visualization.
RESULTS: VTA visualization was possible in all cases. The percentage of VTA covering the STN volume ranged from 25% to 100% (mean ± standard deviation: 60% ± 25%) on the left side and from 0% to 98% (51% ± 30%) on the right side. The mean coordinate of all VTA centers was: 12.6 ± 1.2 mm lateral, 2.1 ± 1.2 mm posterior, and 2.3 ± 1.4 mm inferior in relation to the midcommissural point. Stimulation effects can be compared to the VTA visualization in relation to surrounding structures, potentially facilitating programming, which might be especially beneficial in case of suboptimal lead placement.
CONCLUSIONS: VTA visualization in a clinical planning system allows an intuitive adjustment of the stimulation parameters, supports programming, and enhances understanding of effects and side effects of DBS.

Entities:  

Year:  2020        PMID: 32031356     DOI: 10.23736/S0390-5616.19.04827-6

Source DB:  PubMed          Journal:  J Neurosurg Sci        ISSN: 0390-5616            Impact factor:   2.279


  2 in total

1.  Surgical Strategy for Directional Deep Brain Stimulation.

Authors:  Hiroshi Masuda; Hiroshi Shirozu; Yosuke Ito; Masafumi Fukuda; Yukihiko Fujii
Journal:  Neurol Med Chir (Tokyo)       Date:  2021-10-29       Impact factor: 1.742

2.  In silico Accuracy and Energy Efficiency of Two Steering Paradigms in Directional Deep Brain Stimulation.

Authors:  León Mauricio Juárez-Paz
Journal:  Front Neurol       Date:  2020-10-30       Impact factor: 4.003

  2 in total

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