Motor and language DTI Fiber Tracking combined with intraoperative subcortical mapping for surgical removal of gliomas

Bello, Lorenzo; Gambini, Anna; Castellano, Antonella; Carrabba, Giorgio; Acerbi, Francesco; Fava, Enrica; Giussani, Carlo; Cadioli, Marcello; Blasi, Valeria; Casarotti, Alessandra; Papagno, Costanza; Gupta, Arun Kumar; Gaini, S. M.; Scotti, Giuseppe; Falini, Andrea

doi:10.1016/j.neuroimage.2007.08.031

Cited by 371 publications

(293 citation statements)

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“…Transcranial magnetic stimulation was contraindicated because of the epilepsy. Intraoperative subcortical mapping is predominantly used in sleep-awake patients 24 and has not been applied in our institution. Therefore, the course of major fiber bundles could be validated only by postoperative functional deficits.…”

Section: Discussionmentioning

confidence: 99%

Local and Global Fiber Tractography in Patients with Epilepsy

Anastasopoulos¹,

Reisert²,

Kiselev³

et al. 2013

American Journal of Neuroradiology

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Section: Discussionmentioning

confidence: 99%

Local and Global Fiber Tractography in Patients with Epilepsy

Anastasopoulos¹,

Reisert²,

Kiselev³

et al. 2013

American Journal of Neuroradiology

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“…2 The main challenge inherent to this rating scale was the ability to distinguish tracts primarily dislocated from tracts partially infiltrated * Percentage of patients with preserved tracts (AFTD = 0) for each pathway within the subgroup with no language deficit presurgically. Statistical testing was performed with the null hypothesis that the percent affected was greater than or equal to 50%.…”

Section: Defining Language Pathways With Diffusion Mri: Accuracy Relmentioning

confidence: 99%

Identifying preoperative language tracts and predicting postoperative functional recovery using HARDI q-ball fiber tractography in patients with gliomas

Caverzasi

Hervey-Jumper

Jordan

et al. 2016

JNS

107

113

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abbreviatioNs AF = arcuate fasciculus; AFTD = altered fiber tractography density; CD = clinical deficit; CRT set = clinically relevant tract set; DTI = diffusion tensor imaging; FA = fractional anisotropy; GTR = gross-total resection; HARDI = high angular resolution diffusion-weighted imaging; HGG = high-grade glioma; IFOF = inferior frontooccipital fasciculus; ILF = inferior longitudinal fasciculus; IR-SPGR = inversion-recovery spoiled gradient echo; ISM = intraoperative stimulation mapping; LGG = low-grade glioma; MdLF = middle longitudinal fasciculus; MNI = Montreal Neurological Institute; MST set = minimally sufficient tract set; ODF = orientation distribution function; ROI = region of interest; SLF = superior longitudinal fasciculus; SLF-tp = temporoparietal component of SLF; SLF-II&III = SLF components II and III; UF = uncinate fasciculus. obJective Diffusion MRI has uniquely enabled in vivo delineation of white matter tracts, which has been applied to the segmentation of eloquent pathways for intraoperative mapping. The last decade has also seen the development from earlier diffusion tensor models to higher-order models, which take advantage of high angular resolution diffusion-weighted imaging (HARDI) techniques. However, these advanced methods have not been widely implemented for routine preoperative and intraoperative mapping. The authors report on the application of residual bootstrap q-ball fiber tracking for routine mapping of potentially functional language pathways, the development of a system for rating tract injury to evaluate the impact on clinically assessed language function, and initial results predicting long-term language deficits following glioma resection. methods The authors have developed methods for the segmentation of 8 putative language pathways including dorsal phonological pathways and ventral semantic streams using residual bootstrap q-ball fiber tracking. Furthermore, they have implemented clinically feasible preoperative acquisition and processing of HARDI data to delineate these pathways for neurosurgical application. They have also developed a rating scale based on the altered fiber tract density to estimate the degree of pathway injury, applying these ratings to a subset of 35 patients with pre- and postoperative fiber tracking. The relationships between specific pathways and clinical language deficits were assessed to determine which pathways are predictive of long-term language deficits following surgery. results This tracking methodology has been routinely implemented for preoperative mapping in patients with brain gliomas who have undergone awake brain tumor resection at the University of California, San Francisco (more than 300 patients to date). In this particular study the authors investigated the white matter structure status and language correlation in a subcohort of 35 subjects both pre- and postsurgery. The rating scales developed for fiber pathway damage were found to be highly reproducible and provided significant correlations with language performance. Preserva...

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“…[90][91][92]106 DTI fiber tracks can be used in conjunction with stereotactic navigation to identify a safety margin of approximately 1 cm around the motor tract, which can be used for surgical planning. 107,108 In addition to basic 3D visualization, many studies have used fiber tracking to delineate specific white matter tracts for quantitative analysis. Quantitative DTI tractography studies have examined the microstructure of white matter tracts in pediatric subjects, [109][110][111][112] in elderly subjects, 113 and in patients with schizophrenia, 114 brain tumors, 115 Alzheimer disease, 116 and many other disorders.…”

Section: Dti Fiber Tracking: Clinical Applicationsmentioning

confidence: 99%

Diffusion Tensor MR Imaging and Fiber Tractography: Theoretic Underpinnings

Mukherjee¹,

Berman²,

Chung³

et al. 2008

AJNR Am J Neuroradiol

440

312

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SUMMARY:In this article, the underlying theory of clinical diffusion MR imaging, including diffusion tensor imaging (DTI) and fiber tractography, is reviewed. First, a brief explanation of the basic physics of diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) mapping is provided. This is followed by an overview of the additional information that can be derived from the diffusion tensor, including diffusion anisotropy, color-encoded fiber orientation maps, and 3D fiber tractography. This article provides the requisite background for the second article in this 2-part review to appear next month, which covers the major technical factors that affect image quality in diffusion MR imaging, including the acquisition sequence, magnet field strength, gradient amplitude and slew rate, and multichannel radio-frequency coils and parallel imaging. The emphasis is on optimizing these factors for state-of-the-art DWI and DTI based on the best available evidence in the literature. Diffusion MR imaging of the brain was first adopted for use in clinical neuroradiology during the early 1990s and was found to have immediate utility for the evaluation of suspected acute ischemic stroke. Since that time, enormous strides forward in the technology of diffusion imaging have greatly improved image quality and enabled many new clinical applications. These include the diagnosis of intracranial pyogenic infections, masses, trauma, and vasogenic-versus-cytotoxic edema. Furthermore, the advent of diffusion tensor imaging (DTI) and fiber tractography has opened an entirely new noninvasive window on the white matter connectivity of the human brain. DTI and fiber tractography have already advanced the scientific understanding of many neurologic and psychiatric disorders and have been applied clinically for the presurgical mapping of eloquent white matter tracts before intracranial mass resections.This 2-part review explores the current state of the art for the acquisition and analysis of clinical diffusion imaging, including DTI and fiber tractography. This first article begins with an explanation of the basic physics and underlying theory of diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) mapping. This is followed by an overview of the additional information that can be derived from the diffusion tensor, including diffusion anisotropy, color-encoded fiber-orientation maps, and 3D fiber tractography. This article provides the necessary background for the second article, which focuses on the major technical factors that affect image quality in diffusion imaging, with an emphasis on optimizing these factors for state-of-the-art DWI and DTI based on the best available evidence in the literature. Theoretic Underpinnings of Diffusion ImagingBrownian Motion and Tissue Ultrastructure Diffusion, also known as "Brownian motion," refers to constant random microscopic molecular motion due to heat. At a fixed temperature, the rate of diffusion can be described by the Einstein equation 1 :where Ͻr 2 Ͼ refers...

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Motor and language DTI Fiber Tracking combined with intraoperative subcortical mapping for surgical removal of gliomas

Cited by 371 publications

References 50 publications

Local and Global Fiber Tractography in Patients with Epilepsy

Local and Global Fiber Tractography in Patients with Epilepsy

Identifying preoperative language tracts and predicting postoperative functional recovery using HARDI q-ball fiber tractography in patients with gliomas

Diffusion Tensor MR Imaging and Fiber Tractography: Theoretic Underpinnings

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