Evaluating High Spatial Resolution Diffusion Kurtosis Imaging at <scp>3T</scp>: Reproducibility and Quality of Fit

Kasa, Loxlan W; Haast, Roy A M; Kuehn, Tristan; Mushtaha, Farah N.; Baron, Corey A.; Peters, Terry M.; Khan, Ali R.

doi:10.1002/jmri.27408

Cited by 12 publications

(12 citation statements)

References 41 publications

(83 reference statements)

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“…In addition, depth-dependent DKI measurements could aid in uncovering diffusion abnormalities in the temporopolar cortex. Furthermore, since DKI acquisition with the desired precision has been shown to be clinically feasible ( Kasa et al, 2021 ), the methods developed in this study could be easily implemented in a clinical workflow. Finally, while the study was based on a limited patient cohort it provides solid preliminary data upon which to base a more comprehensive investigation.…”

Section: Discussionmentioning

confidence: 99%

The role of the temporal pole in temporal lobe epilepsy: A diffusion kurtosis imaging study

Kasa

Peters

Mirsattari

et al. 2022

NeuroImage: Clinical

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Section: Discussionmentioning

confidence: 99%

The role of the temporal pole in temporal lobe epilepsy: A diffusion kurtosis imaging study

Kasa

Peters

Mirsattari

et al. 2022

NeuroImage: Clinical

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“…In addition, depth-dependent DKI measurements could aid in uncovering diffusion abnormalities in the temporopolar cortex. Furthermore, since the DKI acquisition and precision have shown to be clinically feasible 46 , the methods developed in this study could be easily implemented in a clinical workflow. Finally, while the study was based on a limited patient cohort it provides solid preliminary data upon which to base a more comprehensive investigation.…”

Section: Discussionmentioning

confidence: 99%

The Role of the Temporal Pole in Temporal Lobe Epilepsy: A Diffusion Kurtosis Imaging Study

Kasa

Peters

Mirsattari

et al. 2021

Preprint

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Objective: This study aims to evaluate the use of diffusion kurtosis imaging (DKI) to detect microstructural abnormalities within the temporal pole (TP) in temporal lobe epilepsy (TLE) patients. Methods: DKI quantitative maps were obtained from fourteen lesional (MRI+) and ten non-lesional (MRI-) TLE patients, along with twenty-one healthy controls. This included mean (MK); radial (RK) and axial kurtosis (AK); mean diffusivity (MD) and axonal water fraction (AWF). Automated fiber quantification (AFQ) was used to quantify DKI measurements along the inferior longitudinal (ILF) and uncinate fasciculus (Unc). ILF and Unc tract profiles were compared between groups and tested for correlation with seizure duration. To characterize temporopolar cortex (TC) microstructure, DKI maps were sampled at varying depths from superficial white matter (WM) towards the pial surface. Each patient group was separated according to side ipsilateral to the epileptogenic temporal lobe and their AFQ results were used as input for statistical analyses. Results: Significant differences were observed between MRI+ and controls (p < 0.005), towards the most anterior of ILF and Unc proximal to the TP of the left (not right) ipsilateral temporal lobe for MK, RK, AWK and MD. Noticeable differences were also observed mostly towards the TP for MK, RK and AWK in the MRI- group. DKI measurements correlated with seizure duration, mostly towards the anterior segments of the WM bundles. Stronger differences in MK, RK and AWF within the TC were observed in the MRI+ and noticeable differences (except for MD) in MRI- groups compared to controls. Significance: The study demonstrates that DKI has potential to detect subtle microstructural alterations within the anterior segments of the ILF and Unc and the connected TC in TLE patients including MRI- subjects. This could aid our understanding of the extrahippocampal areas involved in seizure generation in TLE and might inform surgical planning, leading to better seizure outcomes.

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“…Of all these studies, only two included gray matter (GM) regions in their test–retest assessment. 10 , 11 …”

Section: Introductionmentioning

confidence: 99%

Mean kurtosis‐Curve (MK‐Curve) correction improves the test–retest reproducibility of diffusion kurtosis imaging at 3 T

et al. 2022

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Diffusion kurtosis imaging (DKI) is applied to gain insights into the microstructural organization of brain tissues. However, the reproducibility of DKI outside brain white matter, particularly in combination with advanced estimation to remedy its noise sensitivity, remains poorly characterized. Therefore, in this study, we investigated the variability and reliability of DKI metrics while correcting implausible values with a fit method called mean kurtosis (MK)‐Curve. A total of 10 volunteers (four women; age: 41.4 ± 9.6 years) were included and underwent two MRI examinations of the brain. The images were acquired on a clinical 3‐T scanner and included a T1‐weighted image and a diffusion sequence with multiple diffusion weightings suitable for DKI. Region of interest analysis of common kurtosis and tensor metrics derived with the MK‐Curve DKI fit was performed, including intraclass correlation (ICC) and Bland–Altman (BA) plot statistics. A p value of less than 0.05 was considered statistically significant. The analyses showed good to excellent agreement of both kurtosis tensor‐ and diffusion tensor‐derived MK‐Curve–corrected metrics (ICC values: 0.77–0.98 and 0.87–0.98, respectively), with the exception of two DKI‐derived metrics (axial kurtosis in the cortex: ICC = 0.68, and radial kurtosis in deep gray matter: ICC = 0.544). Non‐MK‐Curve–corrected kurtosis tensor‐derived metrics ranged from 0.01 to 0.52 and diffusion tensor‐derived metrics from 0.06 to 0.66, indicating poor to moderate reliability. No structural bias was observed in the BA plots for any of the diffusion metrics. In conclusion, MK‐Curve–corrected DKI metrics of the human brain can be reliably acquired in white and gray matter at 3 T and DKI metrics have good to excellent agreement in a test–retest setting.

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Evaluating High Spatial Resolution Diffusion Kurtosis Imaging at 3T: Reproducibility and Quality of Fit

Cited by 12 publications

References 41 publications

The role of the temporal pole in temporal lobe epilepsy: A diffusion kurtosis imaging study

The role of the temporal pole in temporal lobe epilepsy: A diffusion kurtosis imaging study

The Role of the Temporal Pole in Temporal Lobe Epilepsy: A Diffusion Kurtosis Imaging Study

Mean kurtosis‐Curve (MK‐Curve) correction improves the test–retest reproducibility of diffusion kurtosis imaging at 3 T

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