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The diffusion tensor imaging research of subcortical ischemic vascular disease
FENG Mengmeng  DAI Hui 

Cite this article as: Feng MM, Dai H. The diffusion tensor imaging research of subcortical ischemic vascular disease. Chin J Magn Reson Imaging, 2019, 10(9): 699-702. DOI:10.12015/issn.1674-8034.2019.09.013.


[Abstract] Subcortical ischemic vascular disease (SIVD) is a homogeneous subtype of vascular cognitive impairment (VCI). SIVD is one of the main reasons resulted in cognitive impairment and dementia in old ages. The patients of SIVD give a huge burden to our country and their families. However, the progress of SIVD is reversible. This makes the research of SIVD more important. The research of SIVD's imaging is benefit to predict the disease’s progress and outcome. This will enable us to intervene the progress of SIVD more effectively.
[Keywords] subcortical ischemic vascular disease；diffussion tensor imaging；progress

FENG Mengmeng Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou 215000, China

DAI Hui* Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou 215000, China

*Corresponding to: Dai H, E-mail: huizi198208@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  Key Young Medical Talents in Jiangsu Province No. NRC2016709 National Natural Science Foundation Young Investigator Grant Program No. 81201079 Scientific Research Projects of Jiangsu Provincial Department of Health No. Q201303
Received  2019-01-10
Accepted  2019-05-26
DOI: 10.12015/issn.1674-8034.2019.09.013
Cite this article as: Feng MM, Dai H. The diffusion tensor imaging research of subcortical ischemic vascular disease. Chin J Magn Reson Imaging, 2019, 10(9): 699-702. DOI:10.12015/issn.1674-8034.2019.09.013.

[1]
Banerjee G, Wilson D, Jager HR, et al. Novel imaging techniques in cerebral small vessel diseases and vascular cognitive impairment. Biochim Biophys Acta, 2016, 1862(5): 926-938.
[2]
D'Avila Freitas MI, Porto CS, Oliveira MO, et al. Linguistic abilities in major vascular cognitive impairment: a comparative study with Alzheimer's disease. Acta Neurologica Belgica, 2018, 118(3): 465-473.
[3]
Visser MM, Yassi N, Campbell BCV, et al. White Matter Degeneration after Ischemic Stroke: A Longitudinal Diffusion Tensor Imaging Study. J Neuroimag, 2019, 29(1): 111-118.
[4]
Alexander AL, Lee JE, Lazar M, et al. Diffusion tensor imaging of the brain. Neurotherapeutics, 2007, 4(3): 316-329.
[5]
Fu J, Zhang T, Chang C, et al. The value of diffusion tensor imaging in the differential diagnosis of subcortical ischemic vascular dementia and Alzheimer's disease in patients with only mild white matter alterations on T2-weighted images. Acta Radiologica, 2012, 53(3): 312-317.
[6]
Xu Q, Zhou Y, Li Y, et al. Diffusion tensor imaging changes correlate with cognition better than conventional MRI findings in patients with subcortical ischemic vascular disease. Dement Geriatr Cogn Disord, 2010, 30(4): 317-326.
[7]
Tu M, Lo C, Huang C, et al. Effectiveness of diffusion tensor imaging in differentiating early-stage subcortical ischemic vascular disease, Alzheimer's disease and normal ageing. PloS One, 2017,12: e01751434.
[8]
Tu M, Huang W, Hsu Y, et al. Comparison of neuropsychiatric symptoms and diffusion tensor imaging correlates among patients with subcortical ischemic vascular disease and Alzheimer's disease. Bmc Neurology, 2017,17(189): 144.
[9]
Della Nave R, Foresti S, Pratesi A, et al. Whole-brain histogram and voxel-based analyses of diffusion tensor imaging in patients with leukoaraiosis: correlation with motor and cognitive impairment. Am J Neuroradiol, 2007, 28(7): 1313-1319.
[10]
Zhou Y, Lin F, Zhu J, et al. Whole brain diffusion tensor imaging histogram analysis in vascular cognitive impairment. J Neurologic Sci, 2008, 268(1-2): 60-64.
[11]
Zhou Y, Qun-Xu, Qin L, et al. A primary study of diffusion tensor imaging-based histogram analysis in vascular cognitive impairment with no dementia. Clin Neurol Neurosurg, 2011, 113(2): 92-97.
[12]
Oishi K, Faria A, Jiang H, et al. Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and Alzheimer's disease participants. Neuroimag, 2009, 46(2): 486-499.
[13]
Lawes IN, Barrick TR, Murugam V, et al. Atlas-based segmentation of white matter tracts of the human brain using diffusion tensor tractography and comparison with classical dissection. Neuroimage, 2008, 39(1): 62-79.
[14]
Lin L, Xue Y, Duan Q, et al. Microstructural white matter abnormalities and cognitive dysfunction in subcortical ischemic vascular disease: an atlas-based diffusion tensor analysis study. J Molecul Neurosci, 2015, 56(2): 363-370.
[15]
Kim SH, Park JS, Ahn H, et al. Voxel-based analysis of diffusion tensor imaging in patients with subcortical vascular cognitive impairment: correlates with cognitive and motor deficits. J Neuroimag, 2011, 21(4): 317-324.
[16]
Smith SM, Jenkinson M, Johansen-Berg H, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimag, 2006, 31(4): 1487-1505.
[17]
Chen H, Gao Y, Che C, et al. Diffusion tensor imaging with tract-based spatial statistics reveals white matter abnormalities in patients with vascular cognitive impairment. Front Neuroanatomy, 2018,12(53): 1021-1027.
[18]
Yu Y, Liang X, Yu H, et al. How does white matter microstructure differ between the vascular and amnestic mild cognitive impairment? Oncotarget, 2017, 8(1): 42-50.
[19]
Seo SW, Ahn J, Yoon U, et al. Cortical thinning in vascular mild cognitive impairment and vascular dementia of subcortical type. J Neuroimag, 2010, 20(1): 37-45.
[20]
Wang Y, Liu G, Hong D, et al. White matter injury in ischemic stroke. Progr Neurobiol, 2016, 141: 45-60.
[21]
Chen T, Lin C, Chen Y, et al. Diffusion tensor changes in patients with amnesic mild cognitive impairment and various dementias. Psychiat Res Neuroimag, 2009, 173(1): 15-21.
[22]
Lee MB, Kim YH, Jahng G, et al. Angular resolution enhancement technique for diffusion-weighted imaging (DWI) using predicted diffusion gradient directions. Neuroimag, 2018, 183: 836-846.
[23]
Fernandez-Miranda JC. Beyond diffusion tensor imaging. J Neurosurg, 2013, 118(6): 1363-1365.
[24]
Wedeen VJ, Hagmann P, Tseng W, et al. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn Reson Med, 2005, 54(6): 1377-1386.
[25]
Hagmann P, Jonasson L, Maeder P, et al. Understanding diffusion MR imaging techniques: From scalar diffusion-weighted imaging to diffusion tensor imaging and beyond. Radiographics, 2006, 26(Supp 1): S205-S219.
[26]
Hansen B, Jespersen SN. Recent developments in fast kurtosis imaging. Front Phys, 2017, 5(40): 3389.
[27]
Zhu L, Zhang Z, Wang F, et al. Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations. Neural Regenerat Res, 2019, 14(2): 272-279.
[28]
Glenn GR, Helpern JA, Tabesh A, et al. Quantitative assessment of diffusional kurtosis anisotropy. NMR Biomed, 2015, 28(4): 448-459.

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