Imaging study of assessment of gray matter atrophy in patients with subcortical ischemic cerebrovascular disease with cognitive impairment based on structural magnetic resonance imaging

doi:10.3877/cma.j.issn.2095-2015.2023.01.003

Abstract

Abstract:

Objective

To explore the correlation between changes in the volume of gray matter and cognitive impairment in patients with subcortical ischemic vascular disease(SIVD)with cognitive impairment based on the voxel morphology measurement(VBM)method in structural magnetic resonance imaging(sMRI)to fully automatic segmentation of brain tissue.

Methods

From September 2020 to September 2022, 80 patients from the Department of Neurology of Hongqi Hospital Affiliated to Mudanjiang Medical College were collected, and the subjects were divided into dementia group(SIVD-AD, n=23), mild cognitive impairment group(SIVD-MCI, n=33)and non-cognitive impairment group(SIVD-NCI, n=24)according to the neuropsychological assessment of the degree of cognitive decline.The 3D-T1TFE sagittal structure image was collected by 3.0T MRI, and the brain tissue was automatically segmented by VBM-CAT12 toolbox in SPM12 software package of MATLAB platform, and the regions of interest were delineated in the DPABI software.All images were calibrated for atrophy using the AAL template in the Viewer package.

Results

Compared with the SIVD-NCI group, the SIVD-MCI group mainly showed gray matter atrophy changes in the right frontal upper gyrus, midfrontal gyrus and temporal middle gyrus.The SIVD-AD group mainly showed atrophic changes in the bilateral fusiform gyrus, bilateral cingulate gyrus, bilateral olfactory cortex, left supra frontal gyrus, left midfrontal gyrus, left parahippocampal gyrus, left straight gyrus, left insular lobe and right caudate nucleus.

Conclusion

sMRI has the characteristics of non-invasive and radiation-free, which can be used as an effective screening choice for MCI and AD in the general population, and has important value in improving clinical practice.

Key words: Cognitive impairment, Structural magnetic resonance imaging, Voxel morphology measurement, Gray matter atrophy

Jinyi Zhao, Zhengying Sun, Hongyi Li, Mingcheng Hu, Xiaoshen Wang, Xiaohang Shi, Yuning Wang, Weiyang Sun, Jian Xing. Imaging study of assessment of gray matter atrophy in patients with subcortical ischemic cerebrovascular disease with cognitive impairment based on structural magnetic resonance imaging[J]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2023, 13(01): 10-14.

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URL: https://zhxhbyyxzz.cma-cmc.com.cn/EN/10.3877/cma.j.issn.2095-2015.2023.01.003

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Figures/Tables 5

References 18

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组别	例数	男性[例(%)]	年龄(岁，±s)	教育程度(年，±s)	高血压(例)	糖尿病(例)	吸烟史(例)	腔梗数目(个)	Fazekas分级(分)	MMSE(分)	MoCA-B(分)
SIVD-NCI	24	11(45.83)	59.958±7.280	8.875±2.593	15(62.50)	3(12.50)	6(25.00)	8.0(5.5，10.0)	1.0(1.0，2.0)	24.5(16.0，26.5)	23.0(19.0，26.0)
SIVD-MCI	33	17(51.52)	60.636±7.106	8.545±2.647	20(60.61)	7(21.21)	10(30.30)	8.0(6.0，10.0)	2.0(1.0，2.0)	28.0(27.0，29.0)	21.0(18.0，23.0)
SIVD-AD	23	12(52.17)	62.652±7.969	8.174±2.964	11(47.83)	6(26.09)	8(34.78)	7.0(5.0，10.0)	1.0(1.0，2.0)	16.0(14.0，19.0)	10.0(7.0，14.0)
F/χ²值		0.240^a	0.848^b	0.389^b	1.257^a	1.407^a	0.538^a	0.467^c	0.044^c	45.670^c	40.570^c
P值		0.887	0.432	0.679	0.533	0.495	0.764	0.792	0.978	0.000	0.000

组别	例数	男性[例(%)]	年龄(岁，±s)	教育程度(年，±s)	高血压(例)	糖尿病(例)	吸烟史(例)	腔梗数目(个)	Fazekas分级(分)	MMSE(分)	MoCA-B(分)
SIVD-NCI	24	11(45.83)	59.958±7.280	8.875±2.593	15(62.50)	3(12.50)	6(25.00)	8.0(5.5，10.0)	1.0(1.0，2.0)	24.5(16.0，26.5)	23.0(19.0，26.0)
SIVD-MCI	33	17(51.52)	60.636±7.106	8.545±2.647	20(60.61)	7(21.21)	10(30.30)	8.0(6.0，10.0)	2.0(1.0，2.0)	28.0(27.0，29.0)	21.0(18.0，23.0)
SIVD-AD	23	12(52.17)	62.652±7.969	8.174±2.964	11(47.83)	6(26.09)	8(34.78)	7.0(5.0，10.0)	1.0(1.0，2.0)	16.0(14.0，19.0)	10.0(7.0，14.0)
F/χ²值		0.240^a	0.848^b	0.389^b	1.257^a	1.407^a	0.538^a	0.467^c	0.044^c	45.670^c	40.570^c
P值		0.887	0.432	0.679	0.533	0.495	0.764	0.792	0.978	0.000	0.000

组别	例数	灰质	全脑体积
SIVD-NCI	24	543.833±62.390	1363.708±142.098
SIVD-MCI	33	499.848±66.051	1303.182±131.724
SIVD-AD	23	476.478±101.603	1311.609±203.088
F		4.695	1.112
P值		0.012	0.334

组别	例数	灰质	全脑体积
SIVD-NCI	24	543.833±62.390	1363.708±142.098
SIVD-MCI	33	499.848±66.051	1303.182±131.724
SIVD-AD	23	476.478±101.603	1311.609±203.088
F		4.695	1.112
P值		0.012	0.334

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