ArticleQuantitative imaging in medicine and surgery2023
Association of deep medullary veins with the neuroimaging burden of cerebral small vessel disease.
Article in Quantitative imaging in medicine and surgery, 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.
- Deep medullar veins: predictors of clinical progression in Alzheimer's disease.Quantitative imaging in medicine and surgery · 2026Article
- Deep Medullary Vein Integrity and Relationships with Small Vessel Disease and Interstitial Diffusivity Measures in Patients with a Recent Small Subcortical Infarct.AJNR. American journal of neuroradiology · 2025Article
- Deep medullary veins: a promising neuroimaging marker for neurodegeneration in multiple sclerosis.Quantitative imaging in medicine and surgery · 2025Article
- Association of decreased visibility on deep medullary vein gray-matter volume mediated by increased extracellular fluid in the white matter of patients with cerebral small vessel disease.Quantitative imaging in medicine and surgery · 2025Article
- Deep medullary vein abnormalities impact white matter hyperintensity volume through increases in interstitial free water.BMC neurology · 2024Article
- Predicting white-matter hyperintensity progression and cognitive decline in patients with cerebral small-vessel disease: a magnetic resonance-based habitat analysis.Quantitative imaging in medicine and surgery · 2024Article
- Deep medullary veins score is associated with atrophy in patients with cerebral small vessel disease.Frontiers in neurology · 2024Article
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Authors and funding
7 authors.
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Abstract
Background: This study aimed to explore the association between deep medullary veins (DMVs) and the neuroimaging burden of cerebral small vessel disease (CSVD). Methods: In this cross-sectional study based on a retrospective analysis, a total of 248 patients (183 males and 65 females; mean age ± standard deviation, 69.5±14.8 years) diagnosed with CSVD with complete imaging and clinical data were enrolled. Neuroimaging markers of CSVD, including white matter hyperintensities, lacunes, prominent perivascular spaces (PVSs), and cerebral microbleeds (CMBs), were identified, and the total burden of CSVD was scored. Both DMV number and DMV score were used for assessment using susceptibility-weighted imaging (SWI). Results: With the exception of perivascular spaces, more severe neuroimaging markers were observed in patients with a higher DMV score. After adjustments were made for age and body mass index (BMI), a higher DMV score (β=1.39; P<0.001) and smaller DMV number (β=-2.55; P=0.001) were associated with an increased CSVD burden. The degree of CMBs was independently correlated with both DMV score (β=1.60; P<0.001) and DMV number (β=-2.27; P=0.009). The association between lacunes and DMV score was also significant (β=0.97; P=0.026). Conclusions: Both DMV score and DMV number are potential imaging indicators of CSVD.
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