A comparative study of the sensitivity of diffusion-related parameters obtained from diffusion tensor imaging, diffusional kurtosis imaging, q-space analysis and bi-exponential modelling in the early disease course (24 h) of hyperacute (6 h) ischemic stroke patients

Duchêne, Gaëtan; Peeters, Frank; Peeters, André; Duprez, Thierry

doi:10.1007/s10334-017-0612-5

Cited by 5 publications

(2 citation statements)

References 42 publications

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“…DKI studies have demonstrated the efficacy of DKI in distinguishing microstructural alterations of aging [29], brain traumatic injury [30], stroke [31], epilepsy [32], glioma [33], depression [34], Parkinson's disease [21,35,36], and MCI [37]. DKI has also been used in the evaluation of WM in ASD patients with promising results [38,39].…”

Section: Introductionmentioning

confidence: 99%

White matter alterations in adult with autism spectrum disorder evaluated using diffusion kurtosis imaging

et al. 2019

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Autism spectrum disorder (ASD) has been related to the impairments of white matter (WM) pathways.Recently, a two-compartment model of diffusion kurtosis imaging (DKI) was used to analyze the WM in ASD.However, the model is restricted by some limitations. Our study aimed to demonstrate the first use of a modelfree conventional DKI in the evaluation of WM in ASD and to test the relationship between WM alterations and personality scales. MethodsFifteen subjects with ASD (ASDs) and 15 neurotypical controls (NTs) were scanned on a 3T magnetic resonance (MR) scanner. Personality scales of both groups were measured using autism quotient (AQ), systemizing quotient (SQ), and empathizing quotient (EQ). Multi-shell diffusion-weighted MR data were acquired using two b-values (1000 and 2000 s/mm 2 ). The differences of each DKI indices, i.e., mean kurtosis (MK), radial kurtosis (RK), and axial kurtosis (AK), were evaluated between ASDs and NTs using a tract-based spatial statistics (TBSS). Finally, we also measured the relationships between DKI indices and personality scales. ResultsReduced AK was demonstrated in the body and splenium of corpus callosum of ASDs compared with NTs.There were no significant differences in other indices. Negative correlations were found between AK and AQ or SQ predominantly in WM areas related to social-emotional processing, such as uncinate fasciculus, inferior fronto-occipital fasciculus, and inferior and superior longitudinal fasciculus. ConclusionsA model-free DKI might be used to detect WM alterations in ASDs. Also, DKI indices could be an objective marker to monitor the severity of ASD.

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Section: Introductionmentioning

confidence: 99%

White matter alterations in adult with autism spectrum disorder evaluated using diffusion kurtosis imaging

et al. 2019

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“…IS was normally categorized into three groups according to different time of onset (Duchêne, Peeters, Peeters, & Duprez, 2017; Peng et al, 2015): acute ( t ≤ 24 hr, n = 40), subacute (24 hr < t ≤ 2 W, n = 35), and chronic ( t > 2 W, n = 18). Furthermore, IS was divided into large artery atherosclerosis (LA, n = 35), cardioembolism (CE, n = 24), small vessel disease (SA, n = 25), other determined etiology+other undetermined etiology (ODE+OUE, n = 8) according to TOAST.…”

Section: Methodsmentioning

confidence: 99%

Plasma endothelial microvesicles and their carrying miRNA‐155 serve as biomarkers for ischemic stroke

Zhang

Chen

Qiu

et al. 2020

J of Neuroscience Research

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Endothelial microvesicles (EMVs) could reflect the status of endothelial cells (ECs) which are involved in the pathogenesis of ischemic stroke (IS). MiR-155 could regulate EC functions. However, their roles in IS remain unclear. This study aimed to investigate the levels of plasma EMVs and EMVs carrying miRNA-155 (EMVs-miR-155) in IS patients to explore their potential roles as biomarkers. Ninety-three IS patients and 70 controls were recruited in this study. The levels of circulating EMVs and EMVs-miR-155 were detected by fluorescence nanoparticle tracking analysis and quantitative real-time PCR, respectively. The correlations between level of EMVs/ EMVs-miR-155 and the onset time, severity, infarct volume, and subtypes of IS were analyzed. The severity and infarct volume were assessed by NIHSS and magnetic resonance imaging, respectively. Multivariate logistic regression analysis was used to investigate the risk factors of IS. The ROC curve and area under ROC curve (AUC) of EMVs and EMVs-miR-155 were determined. The levels of plasma EMVs and EMVs-miR-155 were increased significantly in acute and subacute stages of IS and remained unchanged in chronic stage, and were positively related to the infarct volume and NIHSS scores and were associated with large artery atherosclerosis and cardioembolism subtypes defined by Trial of Org 10 172 in acute stroke treatment (TOAST) classification. Multivariate logistic regression analysis demonstrated that plasma EMVs and EMVs-miR-155 were significant and independent risk factors of IS and their AUC were 0.778 and 0.851, respectively, and increased to 0.892 after combination. Our study suggests that plasma EMVs and EMVs-miR-155 are promising biomarkers for IS. The diagnostic value of EMVs-miR-155 is higher and their combination is the best.

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Diffusional kurtosis imaging in differentiating nonarteritic anterior ischemic optic neuropathy from acute optic neuritis

Lu,

Hong,

Tian

et al. 2024

Neuroradiology

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A comparative study of the sensitivity of diffusion-related parameters obtained from diffusion tensor imaging, diffusional kurtosis imaging, q-space analysis and bi-exponential modelling in the early disease course (24 h) of hyperacute (6 h) ischemic stroke patients

Cited by 5 publications

References 42 publications

White matter alterations in adult with autism spectrum disorder evaluated using diffusion kurtosis imaging

White matter alterations in adult with autism spectrum disorder evaluated using diffusion kurtosis imaging

Plasma endothelial microvesicles and their carrying miRNA‐155 serve as biomarkers for ischemic stroke

Diffusional kurtosis imaging in differentiating nonarteritic anterior ischemic optic neuropathy from acute optic neuritis

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