Value of diffusion kurtosis imaging in assessing low‐grade gliomas

Goryawala, Mohammed; Heros, Deborah O.; Komotar, Ricardo J.; Sheriff, Sulaiman; Saraf‐Lavi, Efrat; Maudsley, Andrew A.

doi:10.1002/jmri.26012

Cited by 25 publications

(26 citation statements)

References 37 publications

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“…DKI allows for the quantification of white matter tract integrity (WMTI), providing markers of intra‐axonal damage, axonal loss, extracellular inflammation, gliosis and demyelination . DKI‐derived metrics have been applied in several neurological disorders , providing increased sensitivity and specificity in detecting pathological changes .…”

Section: Introductionmentioning

confidence: 99%

Axonal water fraction as marker of white matter injury in primary‐progressive multiple sclerosis: a longitudinal study

Margoni

Petracca

Schiavi

et al. 2019

Euro J of Neurology

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Background and purpose Diffuse white matter (WM) injury is prominent in primary‐progressive multiple sclerosis (PP‐MS) pathology and is a potential biomarker of disease progression. Diffusion kurtosis imaging allows the quantification of non‐Gaussian water diffusion, providing metrics with high WM pathological specificity. The aim of this study was to characterize the pathological changes occurring in the normal‐appearing WM of patients with PP‐MS at baseline and at 1‐year follow‐up and to assess their impact on disability and short‐term disease progression. Methods A total of 26 patients with PP‐MS and 20 healthy controls were prospectively enrolled. Diffusion kurtosis imaging single‐shot echo‐planar imaging (EPI) was acquired on a 3‐T scanner (Philips Achieva, Best, The Netherlands) (voxel size, 2 × 2 × 2 mm3, 30 directions for each b‐value = 1000, 2000 s/mm2 and one b = 0 s/mm2). A two‐compartment biophysical model of WM tract integrity was used to derive spatial maps of axonal water fraction (AWF), intra‐axonal diffusivity, extra‐axonal axial and radial diffusivities (De,axial, De,radial) and tortuosity from the following WM tracts: corpus callosum (CC), corticospinal tract (CST) and posterior thalamic radiation (PTR). Results At baseline, patients with PP‐MS showed a widespread decrease of AWF, tortuosity and De,axial and an increase of De,radial in CC, CST and PTR (P ranging from 0.001 to 0.036). At 1‐year follow‐up, a significant AWF decrease was detected in the body of CC (P = 0.048), PTR (P = 0.008) and CST (P = 0.044). Baseline AWF values in CST significantly discriminated progressed from non‐progressed patients (P = 0.021; area under the curve, 0.854). Conclusion Based on its change over time and its relationship with disease progression, among the analyzed metrics, AWF seems the most sensitive metric of WM tissue damage in PP‐MS and therefore it could be considered as a marker for monitoring disease progression.

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Section: Introductionmentioning

confidence: 99%

Axonal water fraction as marker of white matter injury in primary‐progressive multiple sclerosis: a longitudinal study

Margoni

Petracca

Schiavi

et al. 2019

Euro J of Neurology

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“…Kurtosis reflects the deviation of diffusion properties from Gaussian behavior, whereas diffusivity is the diffusion coefficient corrected for non‐Gaussian bias. DKI has shown promising results for characterizing gliomas, prostate cancer, rectal adenocarcinoma, and breast lesions . However, the diagnostic performance of DKI in comparison with DWI, DCE‐MRI, and 1 H‐MRS for breast cancer characterization has not been reported.…”

mentioning

confidence: 99%

“…DKI has shown promising results for characterizing gliomas, prostate cancer, rectal adenocarcinoma, and breast lesions. [17][18][19][20][21] However, the diagnostic performance of DKI in comparison with DWI, DCE-MRI, and 1 H-MRS for breast cancer characterization has not been reported.…”

mentioning

confidence: 99%

Diffusion Kurtosis at 3.0T as an in vivo Imaging Marker for Breast Cancer Characterization: Correlation With Prognostic Factors

Huang

Lin

et al. 2018

Magnetic Resonance Imaging

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“…In clinical magnetic resonance imaging (MRI) examinations, diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) provide image contrasts that are different from conventional imaging methods, and are useful for diagnosing diseases that are currently difficult to differentiate [1]. MRI creates images using protons, and the T 1-relaxation and T 2-relaxation times of human tissue.…”

Section: Introductionmentioning

confidence: 99%

Development of anisotropic phantoms using wood and fiber materials for diffusion tensor imaging and diffusion kurtosis imaging

Suzuki

Moriya²,

Hata

et al. 2019

Magn Reson Mater Phy

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ObjectiveSeveral studies have demonstrated that anisotropic phantoms can be utilized for diffusion magnetic resonance imaging. The purpose of our study was to examine whether wood is suitable as an anisotropic phantom material from the viewpoints of affordability and availability. In the current study, wood was used for restricted diffusion, and fibers were used for hindered diffusion.Materials and methodsWood and fiber phantoms were made. Diffusion kurtosis images were acquired with three magnetic resonance scanners. Fractional anisotropy, radial diffusivity, axial diffusivity, radial kurtosis and axial kurtosis values were measured. The wood phantom was imaged, and its durability was confirmed. The phantoms were imaged in varying orientations within the magnetic field. The wood was observed using an optical microscope.ResultsTen kinds of wood and the fiber had a diffusion metrics. The wood diffusion metrics suggested low variation over a period of 9 months. Changing the orientation of the phantoms within the magnetic field resulted in changes in diffusion metrics. Observation of wood vessels and fibers was conducted.DiscussionWood and fibers have anisotropy and are promising as phantom materials. The development of anisotropic phantoms that anyone can use is useful for diffusion magnetic resonance imaging research and clinical applications.

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Value of diffusion kurtosis imaging in assessing low‐grade gliomas

Abstract: 2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2018;48:1551-1558.

Cited by 25 publications

References 37 publications

Axonal water fraction as marker of white matter injury in primary‐progressive multiple sclerosis: a longitudinal study

Axonal water fraction as marker of white matter injury in primary‐progressive multiple sclerosis: a longitudinal study

Diffusion Kurtosis at 3.0T as an in vivo Imaging Marker for Breast Cancer Characterization: Correlation With Prognostic Factors

Development of anisotropic phantoms using wood and fiber materials for diffusion tensor imaging and diffusion kurtosis imaging

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