Literature DB >> 25051166

Visualization of small veins with susceptibility-weighted imaging for stereotactic trajectory planning in deep brain stimulation.

Mehran Mahvash1, Ioannis Pechlivanis2, Patra Charalampaki2, Olav Jansen3, Hubertus Maximilian Mehdorn4.   

Abstract

Intracerebral hemorrhage (ICH) is the most significant complication of Deep Brain Stimulation (DBS). To prevent ICH, stereotactic contrast enhanced T1-weighted images are used to visualize vessels as source of hemorrhage. Susceptibility-Weighted Imaging (SWI) is an MRI sequence with improved visualization of susceptibility differences between tissues, particularly sensitive for brain veins. The aim of this prospective study was to analyze the utility of SWI compared to contrast enhanced stereotactic T1-weighted images for trajectory planning of DBS. Preoperative SWI was performed in 33 patients undergoing DBS and was compared to the T1-weighted images. Vessels identified only with SWI in relation to the bilateral planned trajectory were analyzed. In all patients vessels were depicted on SWI only within the planned trajectory (range 1-4 vessels, for each trajectory, mean: 2.4). In 6 patients vessels were identified on SWI adjacent to the target (up to 5mm distal from target). In 11 patients SWI visualized additional cortical veins adjacent to the entry point of the trajectory. The apparent diameter of these vessels ranged between 0.8 and 2.1mm (mean: 1.2mm). Postoperative MRI was compared with preoperative SWI and revealed in two patients small (<3 mm) T2 hyperintense lesions along electrodes without correlation with visualized veins. SWI facilitates the visualization of small veins superior to T1-weighted images. However, cerebral veins within the trajectory were not found to be a significant source of ICH after DBS. Potential sources of ICH are mesencephal veins at the endpoint of electrodes which can cause fatal hemorrhage and are visualized with SWI reliably.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Deep Brain Stimulation; Intracerebral hemorrhage; Susceptibility Weighted Imaging; Veins

Mesh:

Year:  2014        PMID: 25051166     DOI: 10.1016/j.clineuro.2014.06.041

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  6 in total

1.  Susceptibility-weighted imaging of the venous networks around the brain stem.

Authors:  Ming Cai; Xiao-Fen Zhang; Hui-Huang Qiao; Zhong-Xiao Lin; Chuan-Gen Ren; Jian-Ce Li; Cheng-Chun Chen; Nu Zhang
Journal:  Neuroradiology       Date:  2014-10-18       Impact factor: 2.804

2.  Reliability of cerebral vein volume quantification based on susceptibility-weighted imaging.

Authors:  K Egger; A K Dempfle; S Yang; R Schwarzwald; A Harloff; H Urbach
Journal:  Neuroradiology       Date:  2016-06-23       Impact factor: 2.804

3.  The Internal Cerebral Vein: New Classification of Branching Patterns Based on CTA.

Authors:  K Brzegowy; M P Zarzecki; A Musiał; H M Aziz; T Kasprzycki; R S Tubbs; T Popiela; J A Walocha
Journal:  AJNR Am J Neuroradiol       Date:  2019-09-05       Impact factor: 3.825

4.  Longitudinal Volume Quantification of Deep Medullary Veins in Patients with Cerebral Venous Sinus Thrombosis : Venous Volume Assessment in Cerebral Venous Sinus Thrombosis Using SWI.

Authors:  A K Dempfle; A Harloff; F Schuchardt; J Bäuerle; S Yang; H Urbach; K Egger
Journal:  Clin Neuroradiol       Date:  2017-06-06       Impact factor: 3.649

5.  Visualization of Anatomic Variation of the Anterior Septal Vein on Susceptibility-Weighted Imaging.

Authors:  Zhengzhen Chen; Huihuang Qiao; Yu Guo; Jiance Li; Huizhong Miao; Caiyun Wen; Xindong Wen; Xiaofen Zhang; Xindong Yang; Chengchun Chen
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

6.  Optimized Deep Brain Stimulation Surgery to Avoid Vascular Damage: A Single-Center Retrospective Analysis of Path Planning for Various Deep Targets by MRI Image Fusion.

Authors:  Xin Wang; Nan Li; Jiaming Li; Huijuan Kou; Jing Wang; Jiangpeng Jing; Mingming Su; Yang Li; Liang Qu; Xuelian Wang
Journal:  Brain Sci       Date:  2022-07-22
  6 in total

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