Neuronavigation using susceptibility-weighted venography: application to deep brain stimulation and comparison with gadolinium contrast

被引:18
作者
Beriault, Silvain [1 ]
Sadikot, Abbas F. [1 ,2 ]
Alsubaie, Fahd [1 ,2 ]
Drouin, Simon [1 ,2 ]
Collins, D. Louis [1 ]
Pike, G. Bruce [3 ]
机构
[1] McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal, PQ H3A 2B4, Canada
[2] McGill Univ, Montreal Neurol Inst, Dept Neurol & Neurosurg, Montreal, PQ H3A 2B4, Canada
[3] Univ Calgary, Hotchkiss Brain Inst, Dept Radiol, Calgary, AB T2N 1N4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
susceptibility-weighted imaging; deep brain stimulation; presurgical planning; computer-assisted intervention; functional neurosurgery; SUBTHALAMIC NUCLEUS; PARKINSONS-DISEASE; HEMORRHAGIC COMPLICATIONS; NEUROSURGERY; MRI; ANGIOGRAPHY; SURGERY; ECHOES; SWI;
D O I
10.3171/2014.3.JNS131860
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Careful trajectory planning on preoperative vascular imaging is an essential step in deep brain stimulation (DBS) to minimize risks of hemorrhagic complications and postoperative neurological deficits. This paper compares 2 MRI methods for visualizing cerebral vasculature and planning DBS probe trajectories: a single data set Ti-weighted scan with double-dose gadolinium contrast (Tlw-Gd) and a multi data set protocol consisting of a Ti-weighted structural, susceptibility-weighted venography, and time-of-flight angiography (T1w-SWI-TOF). Two neurosurgeons who specialize in neuromodulation surgery planned bilateral STN DBS in 18 patients with Parkinson's disease (36 hemispheres) using each protocol separately. Planned trajectories were then evaluated across all vascular data sets (Tlw-Gd, SWI, and TOF) to detect possible intersection with blood vessels along the entire path via an objective vesselness measure. The authors' results show that trajectories planned on Tlw-SWI-TOF successfully avoided the cerebral vasculature imaged by conventional T1w-Gd and did not suffer from missing vascular information or imprecise data set registration. Furthermore, with appropriate planning and visualization software, trajectory corridors planned on Tlw-SWI-TOF intersected significantly less fine vasculature that was not detected on the Tlw-Gd (p < 0.01 within 2 mm and p < 0.001 within 4 mm of the track centerline). The proposed Tlw-SWI-TOF protocol comes with minimal effects on the imaging and surgical workflow, improves vessel avoidance, and provides a safe costeffective alternative to injection of gadolinium contrast.
引用
收藏
页码:131 / 141
页数:11
相关论文
共 50 条
[31]   Comparison of the Stereotactic Accuracies of Function-Guided Deep Brain Stimulation, Calculated Using Multitrack Target Locations Geometrically Inferred from Three-Dimensional Trajectory Rotations, and of Magnetic Resonance Imaging-Guided Deep Brain Stimulation and Outcomes [J].
Park, Seong-Cheol ;
Lee, Chong Sik ;
Kim, Seok Min ;
Choi, Eu Jene ;
Lee, Jung Kyo .
WORLD NEUROSURGERY, 2017, 98 :734-749
[32]   Comparison of Amyloid Plaque Contrast Generated by T2-Weighted, T2☆-Weighted, and Susceptibility-Weighted Imaging Methods in Transgenic Mouse Models of Alzheimer's Disease [J].
Chamberlain, Ryan ;
Reyes, Denise ;
Curran, Geoffrey L. ;
Marjanska, Malgorzata ;
Wengenack, Thomas M. ;
Poduslo, Joseph F. ;
Garwood, Michael ;
Jack, Clifford R., Jr. .
MAGNETIC RESONANCE IN MEDICINE, 2009, 61 (05) :1158-1164
[33]   DeepSWI: Using Deep Learning to Enhance Susceptibility Contrast on T2-Weighted MRI [J].
Genc, Ozan ;
Morrison, Melanie A. ;
Villanueva-Meyer, Javier E. ;
Burns, Brian ;
Hess, Christopher P. ;
Banerjee, Suchandrima ;
Lupo, Janine M. .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2023, 58 (04) :1200-1210
[34]   Characterizing brain iron deposition in subcortical ischemic vascular dementia using susceptibility-weighted imaging: An in vivo MR study [J].
Liu, Chen ;
Li, Chuanming ;
Yang, Jun ;
Gui, Li ;
Zhao, Lu ;
Evans, Alan C. ;
Yin, Xuntao ;
Wang, Jian .
BEHAVIOURAL BRAIN RESEARCH, 2015, 288 :33-38
[35]   Quantification of Iron Deposition in the Brain of Hypertensive Patients using 3D-enhanced Susceptibility-weighted Angiography (ESWAN) [J].
Yang, Jiehua ;
Yang, Zhongxian ;
Wu, Huanze ;
Chen, Wei .
CURRENT MEDICAL IMAGING, 2024, 20
[36]   Anatomical relationships between medullary veins and three types of deep-seated malignant brain tumors as detected by susceptibility-weighted imaging [J].
Yang, Shih-Hung ;
Hong, Chien-Tai ;
Tsai, Fong Y. ;
Chen, Wei-Yu ;
Chen, Chia-Yuen ;
Chan, Wing P. .
JOURNAL OF THE CHINESE MEDICAL ASSOCIATION, 2020, 83 (02) :164-169
[37]   Accelerating susceptibility-weighted imaging with deep learning by complex-valued convolutional neural network (ComplexNet): validation in clinical brain imaging [J].
Duan, Caohui ;
Xiong, Yongqin ;
Cheng, Kun ;
Xiao, Sa ;
Lyu, Jinhao ;
Wang, Cheng ;
Bian, Xiangbing ;
Zhang, Jing ;
Zhang, Dekang ;
Chen, Ling ;
Zhou, Xin ;
Lou, Xin .
EUROPEAN RADIOLOGY, 2022, 32 (08) :5679-5687
[38]   Investigation of Deep-Learning-Driven Identification of Multiple Sclerosis Patients Based on Susceptibility-Weighted Images Using Relevance Analysis [J].
Lopatina, Alina ;
Ropele, Stefan ;
Sibgatulin, Renat ;
Reichenbach, Juergen R. ;
Gullmar, Daniel .
FRONTIERS IN NEUROSCIENCE, 2020, 14
[39]   Deep brain stimulation therapy for Parkinson's disease using frameless stereotaxy: comparison with frame-based surgery [J].
Tai, C. -H. ;
Wu, R. -M. ;
Lin, C. -H. ;
Pan, M. -K. ;
Chen, Y. -F. ;
Liu, H. -M. ;
Lu, H. -H. ;
Tsai, C. -W. ;
Tseng, S. -H. .
EUROPEAN JOURNAL OF NEUROLOGY, 2010, 17 (11) :1377-1385
[40]   Model-based correction for brain shift in deep brain stimulation burr hole procedures: a comparison using interventional magnetic resonance imaging [J].
Luo, Ma ;
Narasimhan, Saramati ;
Martin, Alastair J. ;
Larson, Paul S. ;
Miga, Michael I. .
MEDICAL IMAGING 2018: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2018, 10576