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

被引:0
|
作者
Carl, Barbara [1 ,2 ]
Bopp, Miriam [1 ,3 ]
Sass, Benjamin [1 ]
Waldthaler, Josefine [4 ]
Timmermann, Lars [3 ,4 ]
Nimsky, Christopher [1 ,3 ]
机构
[1] Univ Marburg, Dept Neurosurg, Baldingerstr, D-35033 Marburg, Germany
[2] Helios Dr Horst Schmidt Kliniken, Dept Neurosurg, Wiesbaden, Germany
[3] Marburg Ctr Mind Brain & Behav MCMBB, Marburg, Germany
[4] Univ Marburg, Dept Neurol, Marburg, Germany
关键词
Deep brain stimulation; Electrodes; Neurosurgical procedures; SUBTHALAMIC NUCLEUS; PARKINSONS-DISEASE; DIRECTIONAL LEADS; DBS;
D O I
暂无
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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: 6025%) 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.
引用
收藏
页码:59 / 69
页数:11
相关论文
共 50 条
  • [31] Quantitative Modeling of Electric Field in Deep Brain Stimulation: Study of Medium Brain Tissue and Stimulation Pulse Parameters
    Saad, J. F. H.
    Gabran, S. R. I.
    Salama, M. M. A.
    Mansour, R. R.
    2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER), 2011, : 220 - 224
  • [32] Stereotactic neurosurgical planning, recording, and visualization for deep brain stimulation in non-human primates
    Miocinovic, Svjetlana
    Zhang, Jianyu
    Xu, Weidong
    Russo, Gary S.
    Vitek, Jerrold L.
    McIntyre, Cameron C.
    JOURNAL OF NEUROSCIENCE METHODS, 2007, 162 (1-2) : 32 - 41
  • [33] The Effect of Subthalamic Deep Brain Stimulation on Response Inhibition and Voluntary Action Control Depend on Connectivity of the Volume of Activated Tissue with the Prefrontal Cortex
    Waldthaler, J.
    Sperlich, A.
    Stuessel, C.
    Steidel, K.
    Timmermann, L.
    Pedrosa, D.
    MOVEMENT DISORDERS, 2023, 38 : S168 - S168
  • [34] Brain tissue changes following deep brain stimulation
    Nolte, K.
    Kronenbuerger, M.
    Burgunder, J.
    Coenen, V.
    Weis, J.
    Krauss, J.
    MOVEMENT DISORDERS, 2009, 24 : S469 - S469
  • [35] Brain tissue changes following deep brain stimulation
    Nolte, K. W.
    Kronenbuerger, M.
    Burgunder, J. M.
    Coenen, V.
    Krauss, J. K.
    Weis, J.
    ACTA NEUROPATHOLOGICA, 2009, 118 (03) : 454 - 455
  • [36] Visualization of small veins with Susceptibility-Weighted Imaging for stereotactic trajectory planning in Deep Brain Stimulation
    Mahvash, Mehran
    Pechlivanis, Ioannis
    Charalampaki, Patra
    Jansen, Olav
    Mehdorn, Hubertus Maximilian
    CLINICAL NEUROLOGY AND NEUROSURGERY, 2014, 124 : 151 - 155
  • [37] Simulation of brain tissue and realtime volume visualization: Integrating biomechanical simulations into the VIRIM system
    Schill, M
    Reinhart, C
    Gunther, T
    Poliwoda, C
    Hesser, J
    Schinkman, M
    Bender, HJ
    Manner, R
    CAR '97 - COMPUTER ASSISTED RADIOLOGY AND SURGERY, 1997, 1134 : 283 - 288
  • [38] Anticipation of Brain Shift in Deep Brain Stimulation Automatic Planning
    Hamze, Noura
    Bilger, Alexandre
    Duriez, Christian
    Cotin, Stephane
    Essert, Caroline
    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 3635 - 3638
  • [39] Deep Brain Stimulation Clinical Applications
    Dougherty, Darin D.
    PSYCHIATRIC CLINICS OF NORTH AMERICA, 2018, 41 (03) : 385 - +
  • [40] Finite Difference Time Domain (FDTD) Modeling of Implanted Deep Brain Stimulation Electrodes and Brain Tissue
    Gabran, S. R. I.
    Saad, J. H.
    Salama, M. M. A.
    Mansour, R. R.
    2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 6485 - 6488