ArticleFrontiers in neuroscience2023
Correlation between lenticulostriate arteries and white matter microstructure changes in patients with cerebral small vessel disease.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Posture-Related Regional Homogeneity Abnormalities in Cerebral Small Vessel Disease: A Multi-Position MRI Study.CNS neuroscience & therapeutics · 2026Article
- A novel MRI-based deep learning imaging biomarker for comprehensive assessment of the lenticulostriate artery-neural complex.BMC medical imaging · 2025Article
- Machine learning prediction model for functional prognosis of acute ischemic stroke based on MRI radiomics of white matter hyperintensities.BMC medical imaging · 2025Article
- Aging aggravates cognitive dysfunction in spontaneously hypertensive rats by inducing cerebral microvascular endothelial dysfunction.PloS one · 2025Article
- Narrowings of the Deep Cerebral Perforating Arteries Ostia: Geometry, Structure, and Clinical Implications.Journal of stroke · 2025Article
- Relationship between Body Composition and Gait Characteristics in Patients with Cerebral Small Vessel Disease.Current neurovascular research · 2024Article
- Diffusion tensor imaging in cerebral small vessel disease applications: opportunities and challenges.Frontiers in neuroscience · 2024Review
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Authors and funding
12 authors.
Funding
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Abstract
To explore the correlation between the number of lenticulostriate arteries (LSAs) and the white matter features in cerebral small vessel diseases (CSVD) by 3T magnetic resonance imaging (MRI). Seventy-one patients with diagnoses of CSVD were prospectively enrolled to undergo 3T MRI examination, including high-resolution vascular wall imaging (VWI) and diffusion tensor imaging (DTI). The LSAs were observed and counted on VWI, and the patients were divided into three groups according to the LSA counts. The presence of white matter hyperintensities (WMHs), lacunes, cerebral microbleeds (CMBs), and enlarged perivascular spaces (EPVS) was assessed in each patient, and a composite CSVD score was calculated. Periventricular and deep white matter hyperintensity (PVWMH, DWMH) volume ratios were obtained based on automatic segmentation. Fractional anisotropy (FA) and mean diffusivity (MD) were processed by using tract-based spatial statistics (TBSS) analysis. These parameters were compared among the three groups. Correlations between the LSA counts and white matter features were also analyzed. There were differences in WMHs (
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