Validation of Intra-Operative DTI Fiber Tracking in Eloquent Brain Surgery

2013 ◽  
Vol 80 (5) ◽  
pp. 658-659
Author(s):  
S. De Vleeschouwer ◽  
S. Van Cauter ◽  
S. Kovacs ◽  
W. Van Hecke ◽  
G. Van Driel ◽  
...  
2009 ◽  
Vol 52 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Raimund Kleiser ◽  
Philipp Staempfli ◽  
Anton Valavanis ◽  
Peter Boesiger ◽  
Spyros Kollias

NeuroImage ◽  
2008 ◽  
Vol 39 (1) ◽  
pp. 369-382 ◽  
Author(s):  
Lorenzo Bello ◽  
Anna Gambini ◽  
Antonella Castellano ◽  
Giorgio Carrabba ◽  
Francesco Acerbi ◽  
...  

2019 ◽  
Vol 12 (2) ◽  
pp. 440
Author(s):  
C. Negwer ◽  
I. Rautu ◽  
N. Sollmann ◽  
S. Ille ◽  
B. Meyer ◽  
...  

2016 ◽  
Vol 10 ◽  
Author(s):  
Giovanni Raffa ◽  
Ina Bährend ◽  
Heike Schneider ◽  
Katharina Faust ◽  
Antonino Germanò ◽  
...  

2014 ◽  
Vol 121 (2) ◽  
pp. 349-358 ◽  
Author(s):  
Maria Luisa Mandelli ◽  
Mitchel S. Berger ◽  
Monica Bucci ◽  
Jeffrey I. Berman ◽  
Bagrat Amirbekian ◽  
...  

Object The aim of this paper was to validate the diffusion tensor imaging (DTI) model for delineation of the corticospinal tract using cortical and subcortical white matter electrical stimulation for the location of functional motor pathways. Methods The authors compare probabilistic versus deterministic DTI fiber tracking by reconstructing the pyramidal fiber tracts on preoperatively acquired DTI in patients with brain tumors. They determined the accuracy and precision of these 2 methods using subcortical stimulation points and the sensitivity using cortical stimulation points. The authors further explored the reliability of these methods by estimation of the potential that the found connections were due to a random chance using a novel neighborhood permutation method. Results The probabilistic tracking method delineated tracts that were significantly closer to the stimulation points and was more sensitive than deterministic DTI fiber tracking to define the tracts directed to the motor sites. However, both techniques demonstrated poor sensitivity to finding lateral motor regions. Conclusions This study highlights the importance of the validation and quantification of preoperative fiber tracking with the aid of electrophysiological data during the surgery. The poor sensitivity of DTI to delineate lateral motor pathways reported herein suggests that DTI fiber tracking must be used with caution and only as adjunctive data to established methods for motor mapping.


2009 ◽  
Vol 15 (6) ◽  
pp. 1441-1448 ◽  
Author(s):  
R. Brecheisen ◽  
A. Vilanova ◽  
B. Platel ◽  
B. ter Haar Romeny

Neurosurgery ◽  
2011 ◽  
Vol 68 (4) ◽  
pp. 1069-1076 ◽  
Author(s):  
Volker A. Coenen ◽  
Burkhard Mädler ◽  
Hagen Schiffbauer ◽  
Horst Urbach ◽  
Niels Allert

Abstract BACKGROUND: Deep brain stimulation (DBS) has been proven to alleviate tremor of various origins. Distinct regions have been targeted. One explanation for good clinical tremor control might be the involvement of the dentatorubrothalamic tract (DRT) as has been suggested in superficial (thalamic) and inferior (posterior subthalamic) target regions. Beyond a correlation with atlas data and the postmortem evaluation of patients treated with lesion surgery, proof for the involvement of DRT in tremor reduction in the living, the scope of this work, is elusive. OBJECTIVE: To report a case of unilateral refractory tremor in tremor-dominant Parkinson disease treated with thalamic DBS. METHODS: Preoperative diffusion tensor imaging (DTI) was performed. Correlation with individual DBS electrode contact locations was obtained through postoperative fusion of helical computed tomography (CT) data with DTI fiber tracking. RESULTS: Tremor was alleviated effectively. An evaluation of the active electrode contact position revealed clear involvement of the DRT in tremor control. A closer evaluation of clinical effects and side effects revealed a highly detailed individual fiber map of the subthalamic region with DTI fiber tracking. CONCLUSION: This is the first time the involvement of the DRT in tremor reduction through DBS has been shown in the living. The combination of DTI with postoperative CT and the evaluation of the electrophysiological environment of distinct electrode contacts led to an individual detailed fiber map and might be extrapolated to refined DTI-based targeting strategies in the future. Data acquisition for a larger study group is the topic of our ongoing research.


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