Diffusion tensor tractography of the arcuate fasciculus in patients with brain tumors: Comparison between deterministic and probabilistic models

Li, Zhixi; Peck, Kyung K.; Brennan, Nicole Petrovich; Jenabi, Mehrnaz; Hsu, Meier; Zhang, Zhigang; Holodny, Andrei I.; Young, Robert J.

doi:10.4236/jbise.2013.62023

Cited by 37 publications

(32 citation statements)

References 48 publications

(60 reference statements)

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“…23 Because brain stimulation techniques are less effective for WM tracts than for GM, evaluating the morphologic localization of the AF is essential for appropriate presurgical planning. [24][25][26][27] DTI-based tractographic studies revealed incomplete AF reconstructions, in particular of the anterior portion. 24 The evaluation of this AF segment is considered an important predictor of postoperative outcome because a lesion in the anterior portion of AF could cause negative effects on speech fluency.…”

Section: Discussionmentioning

confidence: 99%

“…[24][25][26][27] DTI-based tractographic studies revealed incomplete AF reconstructions, in particular of the anterior portion. 24 The evaluation of this AF segment is considered an important predictor of postoperative outcome because a lesion in the anterior portion of AF could cause negative effects on speech fluency. 28 DTI approaches have tractographic reconstruction limitations in the centrum semiovale, due to the presence of crossing fibers.…”

Section: Discussionmentioning

confidence: 99%

“…28 DTI approaches have tractographic reconstruction limitations in the centrum semiovale, due to the presence of crossing fibers. 24 In addition, DTI tractography of AFs in patients with brain neoplasms resulted in incomplete correspondence with intracortical stimulation, suggesting that this technique is not optimal for mapping language areas. 29 Finally, the same negative effects of DTI techniques discussed above for CST are also relevant to AFs involved by gliomas during presurgical planning.…”

Section: Discussionmentioning

confidence: 99%

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MRI Tractography of Corticospinal Tract and Arcuate Fasciculus in High-Grade Gliomas Performed by Constrained Spherical Deconvolution: Qualitative and Quantitative Analysis

Mormina

Longo

Arrigo

et al. 2015

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE: MR imaging tractography is increasingly used to perform noninvasive presurgical planning for brain gliomas. Recently, constrained spherical deconvolution tractography was shown to overcome several limitations of commonly used DTI tractography. The purpose of our study was to evaluate WM tract alterations of both the corticospinal tract and arcuate fasciculus in patients with high-grade gliomas, through qualitative and quantitative analysis of probabilistic constrained spherical deconvolution tractography, to perform reliable presurgical planning.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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MRI Tractography of Corticospinal Tract and Arcuate Fasciculus in High-Grade Gliomas Performed by Constrained Spherical Deconvolution: Qualitative and Quantitative Analysis

Mormina

Longo

Arrigo

et al. 2015

AJNR Am J Neuroradiol

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“…For language tracts, grades also incorporated the anterior-most extension of the arcuate fasciculus towards Broca's area. (24,25) Readers also graded overall preference for the DTI and CS-DSI tracts as 0=no difference, 1=DTI superior and 2=CS-DSI superior.…”

Section: Methodsmentioning

confidence: 99%

Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses

Young

Tan

Peck

et al. 2017

Magnetic Resonance Imaging

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Purpose To compare compressed diffusion spectrum imaging (CS-DSI) with diffusion tensor imaging (DTI) in patients with intracranial masses. We hypothesized that CS-DSI would provide superior visualization of the motor and language tracts. Materials and Methods We retrospectively analyzed 25 consecutive patients with intracranial masses who underwent DTI and CS-DSI for preoperative planning. Directionally-encoded anisotropy maps, and streamline hand corticospinal motor tracts and arcuate fasciculus language tracts were graded according to a 3-point scale. Tract counts, anisotropy, and lengths were also calculated. Comparisons were made using exact marginal homogeneity, McNemar's and Wilcoxon signed-rank tests. Results Readers preferred the CS-DSI over DTI anisotropy maps in 92% of the cases, and the CS-DSI over DTI tracts in 84%. The motor tracts were graded as excellent in 80% of cases for CS-DSI versus 52% for DTI; 58% of the motor tracts graded as acceptable in DTI were graded as excellent in CS-DSI (p=0.02). The language tracts were graded as excellent in 68% for CS-DSI versus none for DTI; 78% of the language tracts graded as acceptable by DTI were graded as excellent by CS-DSI (p<0.001). CS-DSI demonstrated smaller normalized mean differences than DTI for motor tract counts, anisotropy and language tract counts (p≤0.01). Conclusion CS-DSI was preferred over DTI for the evaluation of motor and language white matter tracts in patients with intracranial masses. Results suggest that CS-DSI may be more useful than DTI for preoperative planning purposes.

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“…Moreover, it is worthy to note that a pre-surgical planning performed by means of DTI-based tractography cannot provide any qualitative and quantitative information regarding well-known undetected white matter bundles, such as the lateral portion of CST as well as the anterior portion of AF. 29,32 All these limitations might be avoided by using CSD-based approach. Its sensitivity for reconstructing white matter bundles has been also recently highlighted by a comparative analysis of different tractographic approaches; in detail, CSD-based tractography was able to better detect brain pathways involved by neoplasm if compared to DTI-based one.…”

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confidence: 99%

The Pre-Surgical Planning of Brain Neoplasms: From Diffusion Tensor Imaging to More Advanced Approaches

Arrigo¹,

Mormina²,

Calamuneri³

2016

Radiol Open J

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The pre-surgical planning of brain neoplasms is strongly contributing to change the prognosis of neoplastic patients. Indeed, it supplies more and more detailed and reliable functional and morphological information before as well as during surgery. Both invasive and noninvasive approaches are available to achieve this goal. A powerful technique for the pre-surgical planning of brain neoplasms is Diffusion Weighted Imaging (DWI) based tractography. Differently from other approaches, tractography is able to provide, non-invasively, morphological information regarding brain pathways relationship with the neoplasm, by analyzing water diffusion within white matter. This is important especially for eloquent bundles, such as Cortico-Spinal Tract (CST) and Arcuate Fasciculus (AF), whose damages have a bad impact on the patient's Quality of Life (QoL). Tractography can be performed through several diffusion signal modeling techniques, among which Diffusion Tensor Imaging (DTI) is the most known. DTI has been widely used for neurosurgery both in pre-operative and intra-operative contexts, also in combination with other functional approaches such as functional MRI (fMRI) and cortical stimulation.1-8 This useful technique was able to reduce post-surgical deficits as well as to improve the survival of neoplastic patients, through a better delineation of maximal safe resection.9 Moreover, its use provided great benefits in patients with high-grade gliomas in terms of risk of death.9 Several studies have demonstrated that DTI suffers from many limitations regarding its reliability to correctly model diffusion signal in different conditions. 10,11 Furthermore, tensorial models are not able to resolve different fibers geometries (i.e. crossing fibers) within the same voxel; these complex configurations have been demonstrated to characterize more than 90% of white matter voxels, 12 thus making DTI an unreliable diffusion modeling technique. In order to overcome these limitations, several other approaches were developed; in particular, High Angular Resolution Diffusion-weighted Imaging (HARDI), 13 Q-Ball Imaging (QBI) 14 and Diffusion Spectrum Imaging (DSI) 15 were found to be promising techniques for resolving voxels with multiple fibers orientations. Nevertheless, tractography was further improved by an HARDI modified approach called Constrained Spherical Deconvolution (CSD); this technique does not require very long acquisition time with respect to DSI 16 and it is able to improve angular resolution if compared to QBI.17 CSD-based tractography was widely used in physiological contexts as well as in pathological ones, showing high sensitivity for the detection of white matter pathways. [18][19][20][21][22] Although tensorial approaches were proved to be inadequate for reliably reconstructing brain pathways 23 and histological validation of CSD-based tractography has been recently provided, 24 more advanced diffusion techniques are still considered not usable in clinical settings due to their too high technical requirements. 25 F...

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Diffusion tensor tractography of the arcuate fasciculus in patients with brain tumors: Comparison between deterministic and probabilistic models

Cited by 37 publications

References 48 publications

MRI Tractography of Corticospinal Tract and Arcuate Fasciculus in High-Grade Gliomas Performed by Constrained Spherical Deconvolution: Qualitative and Quantitative Analysis

MRI Tractography of Corticospinal Tract and Arcuate Fasciculus in High-Grade Gliomas Performed by Constrained Spherical Deconvolution: Qualitative and Quantitative Analysis

Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses

The Pre-Surgical Planning of Brain Neoplasms: From Diffusion Tensor Imaging to More Advanced Approaches

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