scholarly journals The Value of Diffusion Kurtosis Imaging in Detecting Delayed Brain Development of Premature Infants

2021 ◽  
Vol 12 ◽  
Author(s):  
Xin Zhao ◽  
Chunxiang Zhang ◽  
Bohao Zhang ◽  
Jiayue Yan ◽  
Kaiyu Wang ◽  
...  
Keyword(s):  
White Matter ◽  
Premature Infants ◽  
Developmental Disorders ◽  
Characteristic Curve ◽  
Mean Diffusivity ◽  
Internal Capsule ◽  
Diffusion Kurtosis Imaging ◽  
Control Group ◽  
Neurodevelopmental Outcomes ◽  
Diffusion Kurtosis

Objective: Preterm infants are at high risk of the adverse neurodevelopmental outcomes. Our aim is to explore the value of diffusion kurtosis imaging (DKI) in diagnosing brain developmental disorders in premature infants.Materials and Methods: A total of 52 subjects were included in this study, including 26 premature infants as the preterm group, and 26 full-term infants as the control group. Routine MRI and DKI examinations were performed. Mean kurtosis (MK), radial kurtosis (RK), fractional anisotropy (FA), and mean diffusivity (MD) values were measured in the brain regions including posterior limbs of the internal capsule (PLIC), anterior limb of internal capsule (ALIC), parietal white matter (PWM), frontal white matter (FWM), thalamus (TH), caudate nucleus (CN), and genu of the corpus callosum (GCC). The chi-squared test, t-test, Spearman's correlation analysis, and receiver operating characteristic curve were used for data analyses.Results: In the premature infant group, the MK and RK values of PLIA, ALIC, and PWM were lower than those in the control group (p < 0.05). The FA values of PWM, FWM, and TH were also lower than those of the control group (p < 0.05). The area under curves of MK in PLIC and ALIC, MD in PWM, and FA in FWM were 0.813, 0.802, 0.842, and 0.867 (p < 0.05). In the thalamus and CN, the correlations between MK, RK values, and postmenstrual age (PMA) were higher than those between FA, MD values, and PMA.Conclusion: Diffusion kurtosis imaging can be used as an effective tool in detecting brain developmental disorders in premature infants.

scholarly journals The Value of Diffusion Kurtosis Imaging In Detecting Delayed Brain Development of Premature Infants

2021 ◽  
Author(s):  
Xin Zhao ◽  
Chunxiang Zhang ◽  
Bohao Zhang ◽  
Jiayue Yan ◽  
Kaiyu Wang ◽  
...  
Keyword(s):  
White Matter ◽  
Caudate Nucleus ◽  
Premature Infants ◽  
Developmental Disorders ◽  
Neurodevelopmental Outcome ◽  
Mean Diffusivity ◽  
Internal Capsule ◽  
Diffusion Kurtosis Imaging ◽  
Control Group ◽  
Diffusion Kurtosis

Abstract Objective Preterm infants are at high risk of adverse neurodevelopmental outcome. Our aim is to explore the value of diffusion kurtosis imaging (DKI) in diagnosing brain developmental disorders in premature infants.Materials and Methods A total of 52 subjects were included in this study, including 26 premature infants as the preterm group, and 26 full-term infants as the control group. Routine magnetic resonance imaging and DKI examination were performed. Mean kurtosis (MK), radial kurtosis (RK), fractional anisotropy (FA), mean diffusivity (MD) values were measured in the brain regions including posterior limbs of the internal capsule (PLIC); anterior limb of internal capsule (ALIC); parietal white matter (PWM); frontal white matter (FWM); thalamus (TH); caudate nucleus (CN); genu of the corpus callosum (GCC). The X2, t test, Spearman’s correlation analysis and receiver operating characteristic curve (ROC)were used for data analyses.Results In the premature infant group, the MK and RK values of PLIA, ALIC, and PWM were lower than those in the control group (P<0.05). The FA values of PWM, FWM and TH were also lower than those of the control group (P<0.05). The AUCs of MK in PLIC and ALIC, MD in PWM, and FA in FWM were 0.813, 0.802, 0.842 and 0.867 (P<0.05). In thalamus and caudate nucleus, the correlations between MK, RK values and PMA were higher than those between FA, MD values and PMA.Conclusions DKI can be used as an effective tool in detecting brain developmental disorders in premature infants.

scholarly journals Neurobiological underpinnings of rapid white matter plasticity during intensive reading instruction

2020 ◽  
Author(s):  
Elizabeth Huber ◽  
Aviv Mezer ◽  
Jason D. Yeatman
Keyword(s):  
White Matter ◽  
Reading Instruction ◽  
Diffusion Mri ◽  
Large Scale ◽  
Mean Diffusivity ◽  
Quantitative Mri ◽  
Diffusion Kurtosis Imaging ◽  
Control Group ◽  
Intensive Reading ◽  
Diffusion Kurtosis

AbstractHuman white matter is remarkably plastic. Yet it is challenging to infer the biological underpinnings of this plasticity using non-invasive measurements like diffusion MRI. Here we capitalize on metrics derived from diffusion kurtosis imaging (DKI) to interpret previously reported changes in mean diffusivity throughout the white matter during an 8-week, intensive reading intervention. We then use an independent quantitative MRI measurement of R1 (1/T1 relaxation time) in the same white matter regions; since R1 closely tracks variation in myelin content, it provides complementary information about white matter microstructure. Behavioral measures, multi-shell diffusion MRI data, and quantitative T1 data were collected at regular intervals during the intervention in a group of 33 children with reading difficulties (7-12 years old), and over the same period in an age-matched non-intervention control group. Changes in DKI parameters modeled over the intervention were consistent with increased hindrance in the extra-axonal space, rather than a large-scale change in axon density and/or myelination. Supporting this interpretation, analysis of R1 values did not suggest a change in myelin, although R1 estimates were correlated with individual differences in reading skill. Together, these results suggest that large-scale changes in diffusivity observed over a short timescale during an intensive educational experience are most likely to reflect changes occurring in the extra-axonal space, in line with recent work highlighting the role of glial cells in experience-dependent plasticity and learning.

scholarly journals Diffusion Kurtosis Imaging Versus DWI in the Clinical Assessment of Rectal Carcinoma: A Retrospective Study

2021 ◽  
Author(s):  
Mi Zhou ◽  
Longlin Yin ◽  
Li Lai ◽  
Ju Zeng ◽  
Shaoyu Wang
Keyword(s):  
Rectal Carcinoma ◽  
Mean Diffusivity ◽  
Diagnostic Value ◽  
Diffusion Kurtosis Imaging ◽  
Control Group ◽  
Diagnostic Efficiency ◽  
Imaging Data ◽  
Apparent Diffusion ◽  
Diagnostic Values ◽  
Diffusion Kurtosis

Abstract Background: To perform an analysis of mean diffusivity(MD)、mean kurtosis(MK) demonstrating the diagnostic value of diffusion kurtosis imaging (DKI) and diffusion weighted imaging (DWI) with respect to rectal carcinoma. Methods: A total of thirty-nine rectal carcinoma cases and thirty-nine healthy subjects (Normal control group) were enrolled in our study. All the subjects underwent multi-parameter (DWI, DKI )magnetic resonance examination. The acquired images were individually analysed by two readers. The obtained images were input into the corresponding software, then an analysis of the subjects’ apparent diffusion coefficient(ADC), MD and MK values was performed. A receiver-operating charasterictic (ROC) analysis was used to assess the diagnostic efficiency of the MK, MD and ADC parameters. The Mann-Whitney U test was used to contrast the parameters in both groups. Spearman correlation analysis was used to analyse the correlation between ADC and MD, MK. The Kappa consistency test was used to evaluate the consistency between each reader’s evaluation. Results: Reflecting their diagnostic values with respect to rectal carcinoma, the AUC for MK, MD, and ADC were 0.911, 0.888, and 0.827 (all P <0.05), respectively. Using 0.59, 2.15×10 －3 mm 2 /s, 1.35×10 －3 mm 2 /s as thresholds, the sensitivities of MK, MD, ADC were 89.50%, 78.90%, and 76.30%, respectively; meanwhile their respective specificities were 84.20%, 73.70%, and 73.70%.The ADC was directly proportional to MD ( r =0.994, P <0.05) and inversely proportional to MK ( r =－0.460, P <0.05). Analysis of the imaging data revealed consistent results from both readers,Kappa=0.737. Conclusion: The ADC、MK and MD parameters were effective in diagnosing rectal carcinoma. Moreover, the MK and MD parameters were found to provide even more valid information regarding the microenvironment with a higher diagnostic performance.

scholarly journals Cerebral diffusion kurtosis imaging to assess the pathophysiology of postpartum depression

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yuri Sasaki ◽  
Kenji Ito ◽  
Kentaro Fukumoto ◽  
Hanae Kawamura ◽  
Rie Oyama ◽  
...  
Keyword(s):  
White Matter ◽  
Postpartum Depression ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Diffusion Kurtosis Imaging ◽  
3.0 T ◽  
Maternal Suicide ◽  
Diffusion Kurtosis ◽  
The Brain ◽  
3.0 T Mri

Abstract Postpartum depression (PPD), a main cause of maternal suicide, is an important issue in perinatal mental health. Recently, cerebral diffusion tensor imaging (DTI) studies have shown reduced fractional anisotropy (FA) in major depressive disorder (MDD) patients. There are, however, no reports using diffusion kurtosis imaging (DKI) for evaluation of PPD. This was a Japanese single-institutional prospective study from 2016 to 2019 to examine the pathophysiological changes in the brain of PPD patients using DKI. The DKI data from 3.0 T MRI of patients one month after delivery were analyzed; the patients were examined for PPD by a psychiatrist. The mean kurtosis (MK), FA and mean diffusivity (MD) were calculated from the DKI data and compared between PPD and non-PPD groups using tract-based spatial statistics analysis. Of the 75 patients analyzed, eight patients (10.7%) were diagnosed as having PPD. In the PPD group, FA values in the white matter and thalamus were significantly lower and MD values in the white matter and putamen were significantly higher. The area with significant differences in MD value was more extensive (40.8%) than the area with significant differences in FA value (6.5%). These findings may reflect pathophysiological differences of PPD compared with MDD.

Diffusion tensor imaging in hyperthyroidism: assessment of microstructural white matter abnormality with a tract-based spatial statistical analysis

2020 ◽  
Vol 61 (12) ◽  
pp. 1677-1683 ◽  
Author(s):  
Kerim Aslan ◽  
Hediye Pinar Gunbey ◽  
Sumeyra Cortcu ◽  
Onur Ozyurt ◽  
Ugur Avci ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Corpus Callosum ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Imaging Study ◽  
Internal Capsule ◽  
Control Group ◽  
Corona Radiata ◽  
Microstructural Alterations

Background Metabolic, morphological, and functional brain changes associated with a neurological deficit in hyperthyroidism have been observed. However, changes in microstructural white matter (WM), which can explain the underlying pathophysiology of brain dysfunctions, have not been researched. Purpose To assess microstructural WM abnormality in patients with untreated or newly diagnosed hyperthyroidism using tract-based spatial statistics (TBSS). Material and Methods Eighteen patients with hyperthyroidism and 14 age- and sex-matched healthy controls were included in this study. TBSS were used in this diffusion tensor imaging study for a whole-brain voxel-wise analysis of fractional anisotropy, mean diffusivity, axial diffusivity (AD), and radial diffusivity (RD) of WM. Results When compared to the control group, TBSS showed a significant increase in the RD of the corpus callosum, anterior and posterior corona radiata, posterior thalamic radiation, cingulum, superior longitudinal fasciculus, and the retrolenticular region of the internal capsule in patients with hyperthyroidism ( P < 0.05), as well as a significant decrease in AD in the anterior corona radiata and the genu of corpus callosum ( P < 0.05). Conclusion This study showed that more regions are affected by the RD increase than the AD decrease in the WM tracts of patients with hyperthyroidism. These preliminary results suggest that demyelination is the main mechanism of microstructural alterations in the WM of hyperthyroid patients.

scholarly journals Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245844
Author(s):  
Christian Thaler ◽  
Anna A. Kyselyova ◽  
Tobias D. Faizy ◽  
Marie T. Nawka ◽  
Sune Jespersen ◽  
...  
Keyword(s):  
White Matter ◽  
Mean Diffusivity ◽  
White Matter Injury ◽  
Diffusion Kurtosis Imaging ◽  
Tissue Microstructure ◽  
Diffuse White Matter ◽  
Normal Appearing White Matter ◽  
Relapsing Remitting ◽  
Increased Sensitivity ◽  
Diffusion Kurtosis

Background Mean kurtosis (MK), one of the parameters derived from diffusion kurtosis imaging (DKI), has shown increased sensitivity to tissue microstructure damage in several neurological disorders. Methods Thirty-seven patients with relapsing-remitting MS and eleven healthy controls (HC) received brain imaging on a 3T MR scanner, including a fast DKI sequence. MK and mean diffusivity (MD) were measured in the white matter of HC, normal-appearing white matter (NAWM) of MS patients, contrast-enhancing lesions (CE-L), FLAIR lesions (FLAIR-L) and black holes (BH). Results Overall 1529 lesions were analyzed, including 30 CE-L, 832 FLAIR-L and 667 BH. Highest MK values were obtained in the white matter of HC (0.814 ± 0.129), followed by NAWM (0.724 ± 0.137), CE-L (0.619 ± 0.096), FLAIR-L (0.565 ± 0.123) and BH (0.549 ± 0.12). Lowest MD values were obtained in the white matter of HC (0.747 ± 0.068 10−3mm2/sec), followed by NAWM (0.808 ± 0.163 10−3mm2/sec), CE-L (0.853 ± 0.211 10−3mm2/sec), BH (0.957 ± 0.304 10−3mm2/sec) and FLAIR-L (0.976 ± 0.35 10−3mm2/sec). While MK differed significantly between CE-L and non-enhancing lesions, MD did not. Conclusion MK adds predictive value to differentiate between MS lesions and might provide further information about diffuse white matter injury and lesion microstructure.

scholarly journals Diffusion kurtosis imaging detects subclinical white matter abnormalities in Phenylketonuria

2021 ◽  
Vol 29 ◽  
pp. 102555
Author(s):  
Sarah C. Hellewell ◽  
Thomas Welton ◽  
Kate Eisenhuth ◽  
Michel C. Tchan ◽  
Stuart M. Grieve
Keyword(s):  
White Matter ◽  
Diffusion Kurtosis Imaging ◽  
White Matter Abnormalities ◽  
Diffusion Kurtosis

scholarly journals Magnetic resonance diffusion kurtosis imaging in differential diagnosis of benign and malignant renal tumors

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jianxiong Fu ◽  
Jing Ye ◽  
Wenrong Zhu ◽  
Jingtao Wu ◽  
Wenxin Chen ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Mean Diffusivity ◽  
Threshold Value ◽  
Renal Tumors ◽  
Diffusion Kurtosis Imaging ◽  
Renal Oncocytoma ◽  
Renal Angiomyolipoma ◽  
Planar Imaging ◽  
Cell Renal Cell Carcinoma ◽  
Diffusion Kurtosis

Abstract Background Benign and malignant renal tumors share similar some imaging findings. Methods Sixty-six patients with clear cell renal cell carcinoma (CCRCC), 13 patients with renal angiomyolipoma with minimal fat (RAMF) and 7 patients with renal oncocytoma (RO) were examined. For diffusion kurtosis imaging (DKI), respiratory triggered echo-planar imaging sequences were acquired in axial plane (3 b-values: 0, 500, 1000s/mm2). Mean Diffusivity (MD), fractional Anisotropy (FA), mean kurtosis (MK), kurtosis anisotropy (KA) and radial kurtosis (RK) were performed. Results For MD, a significant higher value was shown in CCRCC (3.08 ± 0.23) than the rest renal tumors (2.93 ± 0.30 for RO, 1.52 ± 0.24 for AML, P < 0.05). The MD values were higher for RO than for AML (2.93 ± 0.30 vs.1.52 ± 0.24, P < 0.05), while comparable MD values were found between CCRCC and RO (3.08 ± 0.23 vs. 2.93 ± 0.30, P > 0.05). For MK, KA and RK, a significant higher value was shown in AML (1.32 ± 0.16, 1.42 ± 0.23, 1.41 ± 0.29) than CCRCC (0.43 ± 0.08, 0.57 ± 0.16, 0.37 ± 0.11) and RO (0.81 ± 0.08, 0.86 ± 0.16, 0.69 ± 0.08) (P < 0.05). The MK, KA and RK values were higher for RO than for CCRCC (0.81 ± 0.08 vs. 0.43 ± 0.08, 0.86 ± 0.16 vs. 0.57 ± 0.16, 0.69 ± 0.08 vs. 0.37 ± 0.11, P < 0.05). Using MD values of 2.86 as the threshold value for differentiating CCRCC from RO and AML, the best result obtained had a sensitivity of 76.1%, specificity of 72.6%. Using MK, KA and RK values of 1.19,1.13 and 1.11 as the threshold value for differentiating AML from CCRCC and RO, the best result obtained had a sensitivity of 91.2, 86.7, 82.1%, and specificity of 86.7, 83.2, 72.8%. Conclusion DKI can be used as another noninvasive biomarker for benign and malignant renal tumors’ differential diagnosis.

PD-0805 Diffusion kurtosis imaging and white matter injury after radiotherapy of adults with brain tumours

2021 ◽  
Vol 161 ◽  
pp. S638-S639
Author(s):  
C. Skinnerup Byskov ◽  
L. Haldbo-Classen ◽  
A. Harbøll ◽  
S. Nørhøj Jespersen ◽  
J. Folsted Kallehauge
Keyword(s):  
White Matter ◽  
Brain Tumours ◽  
White Matter Injury ◽  
Diffusion Kurtosis Imaging ◽  
Diffusion Kurtosis

Repeated Sport-Related Concussion Shows Only Minimal White Matter Differences Many Years After Playing High School Football

2019 ◽  
Vol 25 (09) ◽  
pp. 950-960 ◽  
Author(s):  
Douglas P. Terry ◽  
Catherine M. Mewborn ◽  
L. Stephen Miller
Keyword(s):  
High School ◽  
White Matter ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Region Of Interest ◽  
Internal Capsule ◽  
Later Life ◽  
Cognitive Outcomes ◽  
High School Football ◽  
Former Athletes

AbstractObjective: Multiple concussions sustained in youth sport may be associated with later-life brain changes and worse cognitive outcomes. We examined the association between two or more concussions during high school football and later-life white matter (WM) microstructure (i.e., 22–47 years following football retirement) using diffusion tensor imaging (DTI). Method: Forty former high school football players aged 40–65 who received 2+ concussions during high school football (N = 20), or denied concussive events (N = 20) were recruited. Participants underwent neurocognitive testing and DTI scanning. Results: Groups did not statistically differ on age, education, or estimated pre-morbid intelligence. Tract-based Spatial Statistics (TBSS) correcting for Family-Wise Error (FWE)(p &lt; .05) did not yield differences between groups at the whole-brain level. Region of interest analyses showed higher mean diffusivity (MD) in the anterior limb of the internal capsule (ALIC) in the concussed group compared to the non-concussed former players. More liberal analyses (i.e., p &lt; .001, uncorrected for multiple comparisons, ≥8 voxels) also revealed that former players endorsing 2+ concussions had higher MD in the ALIC. Analyses that covaried for age did not reveal differences at either threshold. Concussive histories were not associated with worse cognitive functioning, nor did it impact the relationship between neuropsychological scores and DTI metrics. Discussion: Results suggest only minimal neuroanatomical brain differences in former athletes many years following original concussive injuries compared to controls.

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