Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations

The location of an acute ischemic stroke is associated with its prognosis. The widely used Gaussian model-based parameter, apparent diffusion coefficient (ADC), cannot reveal microstructural changes in different locations or the degree of infarction. This prospective observational study was reviewed...

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Main Authors: Liu-Hong Zhu, Zhong-Ping Zhang, Fu-Nan Wang, Qi-Hua Cheng, Gang Guo
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2019-01-01
Series:Neural Regeneration Research
Subjects:
Online Access:http://www.nrronline.org/article.asp?issn=1673-5374;year=2019;volume=14;issue=2;spage=272;epage=279;aulast=Zhu
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spelling doaj-ba2e2b1e2b6d4bf2962c0601904275382020-11-25T03:42:24ZengWolters Kluwer Medknow PublicationsNeural Regeneration Research1673-53742019-01-0114227227910.4103/1673-5374.244791Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locationsLiu-Hong ZhuZhong-Ping ZhangFu-Nan WangQi-Hua ChengGang GuoThe location of an acute ischemic stroke is associated with its prognosis. The widely used Gaussian model-based parameter, apparent diffusion coefficient (ADC), cannot reveal microstructural changes in different locations or the degree of infarction. This prospective observational study was reviewed and approved by the Institutional Review Board of Xiamen Second Hospital, China (approval No. 2014002).Diffusion kurtosis imaging (DKI) was used to detect 199 lesions in 156 patients with acute ischemic stroke (61 males and 95 females), mean age 63.15 ± 12.34 years. A total of 199 lesions were located in the periventricular white matter (n = 52), corpus callosum (n = 14), cerebellum (n = 29), basal ganglia and thalamus (n = 21), brainstem (n = 21) and gray-white matter junctions (n = 62). Percentage changes of apparent diffusion coefficient (ΔADC) and DKI-derived indices (fractional anisotropy [ΔFA], mean diffusivity [ΔMD], axial diffusivity [ΔDa], radial diffusivity ΔDr, mean kurtosis [ΔMK], axial kurtosis [ΔKa], and radial kurtosis [ΔKr]) of each lesion were computed relative to the normal contralateral region. The results showed that (1) there was no significant difference in ΔADC, ΔMD, ΔDa or ΔDr among almost all locations. (2) There was significant difference in ΔMK among almost all locations (except basal ganglia and thalamus vs. brain stem; basal ganglia and thalamus vs. gray-white matter junctions; and brainstem vs. gray-white matter junctions. (3) The degree of change in diffusional kurtosis in descending order was as follows: corpus callosum > periventricular white matter > brainstem > gray-white matter junctions > basal ganglia and thalamus > cerebellum. In conclusion, DKI could reveal the differences in microstructure changes among various locations affected by acute ischemic stroke, and performed better than diffusivity among all groups.http://www.nrronline.org/article.asp?issn=1673-5374;year=2019;volume=14;issue=2;spage=272;epage=279;aulast=Zhunerve regeneration; apparent diffusion coefficient; diffusion weighted imaging; diffusion kurtosis imaging; acute ischemic stroke; mean kurtosis; microstructure changes; white matter; 1.5 Tesla magnetic resonance system; neural regeneration
collection DOAJ
language English
format Article
sources DOAJ
author Liu-Hong Zhu
Zhong-Ping Zhang
Fu-Nan Wang
Qi-Hua Cheng
Gang Guo
spellingShingle Liu-Hong Zhu
Zhong-Ping Zhang
Fu-Nan Wang
Qi-Hua Cheng
Gang Guo
Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations
Neural Regeneration Research
nerve regeneration; apparent diffusion coefficient; diffusion weighted imaging; diffusion kurtosis imaging; acute ischemic stroke; mean kurtosis; microstructure changes; white matter; 1.5 Tesla magnetic resonance system; neural regeneration
author_facet Liu-Hong Zhu
Zhong-Ping Zhang
Fu-Nan Wang
Qi-Hua Cheng
Gang Guo
author_sort Liu-Hong Zhu
title Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations
title_short Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations
title_full Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations
title_fullStr Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations
title_full_unstemmed Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations
title_sort diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations
publisher Wolters Kluwer Medknow Publications
series Neural Regeneration Research
issn 1673-5374
publishDate 2019-01-01
description The location of an acute ischemic stroke is associated with its prognosis. The widely used Gaussian model-based parameter, apparent diffusion coefficient (ADC), cannot reveal microstructural changes in different locations or the degree of infarction. This prospective observational study was reviewed and approved by the Institutional Review Board of Xiamen Second Hospital, China (approval No. 2014002).Diffusion kurtosis imaging (DKI) was used to detect 199 lesions in 156 patients with acute ischemic stroke (61 males and 95 females), mean age 63.15 ± 12.34 years. A total of 199 lesions were located in the periventricular white matter (n = 52), corpus callosum (n = 14), cerebellum (n = 29), basal ganglia and thalamus (n = 21), brainstem (n = 21) and gray-white matter junctions (n = 62). Percentage changes of apparent diffusion coefficient (ΔADC) and DKI-derived indices (fractional anisotropy [ΔFA], mean diffusivity [ΔMD], axial diffusivity [ΔDa], radial diffusivity ΔDr, mean kurtosis [ΔMK], axial kurtosis [ΔKa], and radial kurtosis [ΔKr]) of each lesion were computed relative to the normal contralateral region. The results showed that (1) there was no significant difference in ΔADC, ΔMD, ΔDa or ΔDr among almost all locations. (2) There was significant difference in ΔMK among almost all locations (except basal ganglia and thalamus vs. brain stem; basal ganglia and thalamus vs. gray-white matter junctions; and brainstem vs. gray-white matter junctions. (3) The degree of change in diffusional kurtosis in descending order was as follows: corpus callosum > periventricular white matter > brainstem > gray-white matter junctions > basal ganglia and thalamus > cerebellum. In conclusion, DKI could reveal the differences in microstructure changes among various locations affected by acute ischemic stroke, and performed better than diffusivity among all groups.
topic nerve regeneration; apparent diffusion coefficient; diffusion weighted imaging; diffusion kurtosis imaging; acute ischemic stroke; mean kurtosis; microstructure changes; white matter; 1.5 Tesla magnetic resonance system; neural regeneration
url http://www.nrronline.org/article.asp?issn=1673-5374;year=2019;volume=14;issue=2;spage=272;epage=279;aulast=Zhu
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AT qihuacheng diffusionkurtosisimagingofmicrostructuralchangesinbraintissueaffectedbyacuteischemicstrokeindifferentlocations
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