Can diffusion kurtosis imaging improve the sensitivity and specificity of detecting microstructural alterations in brain tissue chronically after experimental stroke? Comparisons with diffusion tensor imaging and histology

Rudrapatna, Umesh; Wieloch, Tadeusz; Beirup, Kerstin; Ruscher, Karsten; Mol, Wouter; Yanev, Pavel; Leemans, Alexander; Toorn, Annette van der; Dijkhuizen, Rick M.

doi:10.1016/j.neuroimage.2014.04.013

Cited by 100 publications

(83 citation statements)

References 53 publications

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“…Similar to previous reports (i.e., 16 ), we found that diffusional kurtosis (mean kurtosis; MK) continues to be elevated in peri-lesion areas, in this case the remaining motor cortex, compared to the non-lesion Fl-SMC acutely and sub-chronically (25 days) following unilateral, SMC lesions. On the other hand, the mean diffusivity (MD) of peri-lesion remaining MC was only significantly elevated acutely during vasoconstriction (2h post-surgery) and then was no longer different from contra-lesion SMC at 24h, 72h or 25d post-lesion.…”

Section: Introductionsupporting

confidence: 91%

“…Diffusion tensor imaging (DTI) and diffusional kurtosis imaging (DKI) are sensitive to microstructure changes in the brain 13-16 . DTI assumes water diffusion to be Gaussian and, therefore, is unable to completely characterize tissue microstructure.…”

Section: Introductionmentioning

confidence: 99%

“…DTI assumes water diffusion to be Gaussian and, therefore, is unable to completely characterize tissue microstructure. DKI is a clinically feasible dMRI method that accounts for diffusional non-Gaussianity, which can reveal more about the heterogeneity and complexity of CNS tissue 13, 16-19 and thus is a compliment to standard DTI. The application of dMRI techniques in surviving peri-lesion grey matter, previously shown to undergo stroke-related changes, has been under investigated.…”

Section: Introductionmentioning

confidence: 99%

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Diffusional Kurtosis and Diffusion Tensor Imaging Reveal Different Time-Sensitive Stroke-Induced Microstructural Changes

Weber

Hui

Jensen

et al. 2015

Stroke

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Background and Purpose Diffusion magnetic resonance imaging (dMRI) is a promising, clinically feasible imaging technique commonly used to describe white matter changes following stroke. We investigated the sensitivity of dMRI to detect microstructural alterations in grey matter following sensorimotor cortex (SMC) stroke in adult male rats. Methods The mean diffusivity (MD) and mean kurtosis (MK) of peri-lesion motor cortex (MC) was compared to measures in the contra-lesional forelimb area of SMC at 2h, 24h, 72h or 25d post-surgery. MD and MK were correlated to the surface densities of glia, dendrites and axons. Results Peri-lesional MK was increased at 72h and 25d post-stroke, while MD was no longer different from contra-lesion SMC at 24h post-stroke. There was a significant increase in the density of glial processes at 72h post-stroke in peri-lesional MC, which correlated with perilesional MD. Conclusions These data support that MK and MD provide different but complimentary information regarding acute and chronic changes in peri-lesional cortex. Glia infiltration is associated with pseudonormalization of MD in the peri-lesion MC at 72h post-lesion; however, this association is absent 25d post-lesion. These data suggest that there are likely several different, time-specific microstructural changes underlying these two complimentary diffusion measures.

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Section: Introductionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Diffusional Kurtosis and Diffusion Tensor Imaging Reveal Different Time-Sensitive Stroke-Induced Microstructural Changes

Weber

Hui

Jensen

et al. 2015

Stroke

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“…Diffusional kurtosis has been investigated to explore tissue reversibility in acute cerebral infarction. [14][15][16] However, there is a paucity of information regarding the microstructural properties measured by DKI in chronic ischemia in living humans. To expand on our prior DTI study, we investigated whether adults with MMD and no overt cerebral infarctions have altered diffusional kurtosis in the entire cerebrum.…”

mentioning

confidence: 99%

Characteristics of Diffusional Kurtosis in Chronic Ischemia of Adult Moyamoya Disease: Comparing Diffusional Kurtosis and Diffusion Tensor Imaging

Kazumata¹,

Tha²,

Narita³

et al. 2016

American Journal of Neuroradiology

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BACKGROUND AND PURPOSE:Detecting microstructural changes due to chronic ischemia potentially enables early identification of patients at risk of cognitive impairment. In this study, diffusional kurtosis imaging and diffusion tensor imaging were used to investigate whether the former provides additional information regarding microstructural changes in the gray and white matter of adult patients with Moyamoya disease.

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“…[2345678910111213] Indeed DTI provides unique quantitative information about brain tissue structure; with completely noninvasive mode while covering the entire brain. [12345678910111213141516171819] Consequently, diagonalizing the diffusion tensor allows calculating its eigenvalues and eigenvectors as well as sorted eigenvalues and eigenvectors. In such condition, the eigenvector corresponding to the largest eigenvalue is considered to represent the major diffusion direction within the concerned voxel.…”

Section: Introductionmentioning

confidence: 99%

Diffusion tensor magnetic resonance imaging strategies for color mapping of human brain anatomy

Boujraf

2018

J Med Signals Sens

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Background:A color mapping of fiber tract orientation using diffusion tensor imaging (DTI) can be prominent in clinical practice. The goal of this paper is to perform a comparative study of visualized diffusion anisotropy in the human brain anatomical entities using three different color-mapping techniques based on diffusion-weighted imaging (DWI) and DTI.Methods:The first technique is based on calculating a color map from DWIs measured in three perpendicular directions. The second technique is based on eigenvalues derived from the diffusion tensor. The last technique is based on three eigenvectors corresponding to sorted eigenvalues derived from the diffusion tensor. All magnetic resonance imaging measurements were achieved using a 1.5 Tesla Siemens Vision whole body imaging system. A single-shot DW echoplanar imaging sequence used a Stejskal–Tanner approach. Trapezoidal diffusion gradients are used. The slice orientation was transverse. The basic measurement yielded a set of 13 images. Each series consists of a single image without diffusion weighting, besides two DWIs for each of the next six noncollinear magnetic field gradient directions.Results:The three types of color maps were calculated consequently using the DWI obtained and the DTI. Indeed, we established an excellent similarity between the image data in the color maps and the fiber directions of known anatomical structures (e.g., corpus callosum and gray matter).Conclusions:In the meantime, rotationally invariant quantities such as the eigenvectors of the diffusion tensor reflected better, the real orientation found in the studied tissue.

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Can diffusion kurtosis imaging improve the sensitivity and specificity of detecting microstructural alterations in brain tissue chronically after experimental stroke? Comparisons with diffusion tensor imaging and histology

Cited by 100 publications

References 53 publications

Diffusional Kurtosis and Diffusion Tensor Imaging Reveal Different Time-Sensitive Stroke-Induced Microstructural Changes

Diffusional Kurtosis and Diffusion Tensor Imaging Reveal Different Time-Sensitive Stroke-Induced Microstructural Changes

Characteristics of Diffusional Kurtosis in Chronic Ischemia of Adult Moyamoya Disease: Comparing Diffusional Kurtosis and Diffusion Tensor Imaging

Diffusion tensor magnetic resonance imaging strategies for color mapping of human brain anatomy

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