Decreased visible deep medullary veins is a novel imaging marker for cerebral small vessel disease

神经学 神经影像学 医学 内科学 逻辑回归 冲程(发动机) 改良兰金量表 疾病 萎缩 磁共振成像 放射科 心脏病学 缺血性中风 精神科 缺血 工程类 机械工程
作者
Xiaohong Chen,Lei Wei,Jihui Wang,Yilong Shan,Wei Cai,Xuejiao Men,Sanxin Liu,Zhuang Kang,Zhengqi Lu,Vincent Mok,Aimin Wu
出处
期刊:Neurological Sciences [Springer Nature]
卷期号:41 (6): 1497-1506 被引量:29
标识
DOI:10.1007/s10072-019-04203-9
摘要

Visibility of deep medullary veins (DMVs) seen at SWI is predictive of poor prognosis in ischemic stroke. Few attentions have been paid to DMVs in atherosclerotic cerebral small vessel disease (aCSVD) which is attributed to long-term imbalanced microhemodynamics. We conducted this retrospective study to explore the association between DMVs profiles and aCSVD risk factors, neuroimaging markers. Two hundred and two patients identified as aCSVD from January 2017 to March 2019 were included in the study. Their demographic, clinical, laboratory, and neuroimaging data were reviewed. The quantity and morphology of DMVs were assessed with a 5-grade (range 0~4) visual rating scale. Total CSVD burden was calculated with an ordinal “SVD score” (range 0~4). Spearman rank correlation and multivariable logistic regression analysis were performed to determine the association between DMV scale and CSVD markers. DMV scale showed strong positive correlation with CSVD burden (rs = 0.629, P < 0.001). Age (OR 1.078, 95% CI 1.015–1.145, P = 0.015) and hypertension (OR 2.629, 95% CI 1.024–6.749, P = 0.045) were two demographic risk factors for high DMV scale. Among CSVD neuroimaging markers, periventricular WMH (OR 2.925, 95% CI 1.464–5.845, P = 0.002), deep WMH (OR 2.872, 95% CI 1.174–7.022, P = 0.021), lacunae (OR 1.961, 95% CI 1.181–3.254, P = 0.009), and cerebral atrophy (OR 2.046, 95% CI 1.079–3.880, P = 0.028) were associated with high DMV scale after adjusting for clinical and metabolic confounders. Multifactorial association between DMV scale and epidemiological, radiological contributors of aCSVD suggests DMV’s involved pathomechanism may participate in aCSVD development. Attach importance to DMV radiological profile in aCSVD will provide more neuroimaging information for diagnosis and prognosis.
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