Clinical Application of Multimodal MRI in Cognitive Impairment Associated with Cerebral Small Vessel Disease
10.13241/j.cnki.pmb.2025.17.013
- VernacularTitle:多模态核磁共振成像在脑小血管病认知功能障碍中的临床应用
- Author:
Hong XU
1
;
Mao-hua HUANG
;
Quan-zhi ZHAO
;
Meng-pan HUANG
;
Bao LIAO
Author Information
1. 右江民族医学院附属西南医院/百色市人民医院神经内科 广西百色 533000
- Publication Type:Journal Article
- Keywords:
Diffusion Tensor Imaging;
Diffusion-Weighted Imaging;
Cerebral Small Vessel Disease;
Cognitive Impairment
- From:
Progress in Modern Biomedicine
2025;25(17):2820-2826
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the clinical application value of multimodal Magnetic Resonance Imaging(MRI)in cognitive impairment related to Cerebral Small Vessel Disease(CSVD).Methods:This study was a retrospective analysis of 60 CSVD patients,who were divided into cognitive impairment group(n=32)and normal group(n=28)based on Montreal Cognitive Assessment scale(MoCA).Compare the general information and MRI parameters of two groups of patients,use correlation analysis and logistic regression analysis to investigate the relationship between MRI parameters and cognitive dysfunction,and use receiver operating characteristic curve(ROC)to explore the value of MRI parameters in diagnosing cognitive dysfunction in cerebral small vessel disease.Results:Compared with the cognitively normal group,the cognitive impairment group had older age,higher apparent diffusion coefficient(ADC),lower anisotropy score(FA),and an overall increase in microbleeds(P＜0.05).Age(r=-0.510),ADC value(r=-0.591),and overall number of microbleeds(r=-0.369)were significantly negatively correlated with MoCA score(P＜0.05),while FA value(r=0.262)was significantly positively correlated with MoCA score(P＜0.05).The logistic regression results indicate that age,overall microbleeds,ADC value,and FA value are influencing factors for cognitive impairment in patients with cerebral small vessel disease.ROC curve analysis showed that the combination of age,ADC,FA,and microbleeds significantly improved diagnostic efficacy(AUC=0.990,95％CI=0.974-1.000).Conclusion:The joint analysis of multimodal MRI parameters can provide important imaging evidence for the early identification of cognitive dysfunction in CSVD.
