ArticleQuantitative imaging in medicine and surgery2025
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.
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Higher basal ganglia perivascular space burden is associated with reduced deep medullary vein visibility via free water accumulation in sporadic cerebral small vessel disease.European journal of medical research · 2025Article
- Glymphatic system dysfunction mediates the relationship between deep medullary vein alterations and cognitive impairment in cerebral small vessel disease.BMC neurology · 2025Article
- Association between white matter hyperintensities and gray matter volume in cerebral small vessel disease: insights from periventricular and deep white matter lesions.Frontiers in neurology · 2025Article
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7 authors.
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Abstract
Background: The visibility and signal continuity of deep medullary veins (DMVs) play an important role in cerebral small vessel disease (CSVD). However, the relationship between DMV and gray-matter atrophy remains unclear. This study sought to investigate the link between DMV scores, extracellular fluid, and gray-matter atrophy in patients with CSVD. Methods: We reviewed the clinical and multimodal magnetic resonance imaging data from 123 patients diagnosed with CSVD between January and December 2022. The DMV score was assessed using a scoring system (0 to 3 points) based on DMV visibility on susceptibility-weighted images across six anatomical regions, yielding a final score from 0 to 18. Extracellular fluid was assessed through the metric of free water (FW) in normal-appearing white matter (NAWM). Normalized gray-matter volume (GM_N) was used to quantify the gray-matter volume, defined as the ratio of gray-matter volume to intracranial volume. Spearman correlation, general linear model, and mediation analyses were employed to evaluate the relationships among variables. Results: Spearman correlation analysis revealed a positive correlation between DMV score and FW in NAWM (r=0.603; P<0.001). General linear model analysis confirmed this association as independent [β=0.656, 95% confidence interval (CI) 0.521-0.790; P<0.001]. Conversely, FW in NAWM showed a negative correlation with GM_N (r=-0.485; P<0.001), with an independent association confirmed by general linear model analysis (β=-0.630, 95% CI: -0.769 to -0.491; P<0.001). Additionally, the DMV score was negatively correlated with GM_N (r=-0.390; P<0.001), as supported by a significant association in general linear model analysis (β=-0.502, 95% CI: -0.657 to 0.348; P<0.001). Mediation analysis indicated a significant indirect effect of FW in NAWM on the relationship between DMV score and GM_N (β=-0.346, 95% CI: -0.534 to -0.187; P<0.001). All associations were remained significant after adjustments were made for age, gender, vascular risk factors, normalized white-matter hyperintensity volume, and CSVD burden. Conclusions: The observed link between DMV disruption and FW in NAWM-GM_N suggests that DMV dysfunction may contribute to gray-matter atrophy in CSVD by increasing extracellular fluid. This identifies DMV changes as a key factor in CSVD pathology and supports the potential of targeting extracellular fluid as a therapeutic strategy to mitigate gray-matter loss.
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