Li Meng, Song Xiaowei, Wei Qiao, Wu Jian, Wang Shi, Liu Xueyu, Guo Cong, Gao Qian, Zhou Xuan, Niu Yanan, Guo Xuanzhu, Zhao Xihai, Chen Liping
Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Key Laboratory of Hebei Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Quant Imaging Med Surg. 2024 Aug 1;14(8):6002-6014. doi: 10.21037/qims-23-64. Epub 2024 Jul 11.
Both intracranial atherosclerosis and white matter hyperintensity (WMH) are prevalent among the stroke population. However, the relationship between intracranial atherosclerosis and WMH has not been fully elucidated. Therefore, the aim of this study was to investigate the relationship between the characteristics of intracranial atherosclerotic plaques and the severity of WMH in patients with ischemic stroke using high-resolution magnetic resonance vessel wall imaging.
Patients hospitalized with ischemic stroke and concurrent intracranial atherosclerosis at Beijing Tsinghua Changgung Hospital, a tertiary comprehensive stroke center, who underwent high-resolution magnetic resonance vessel wall imaging and conventional brain magnetic resonance imaging were continuously recruited from January 2018 to December 2018. Both intracranial plaque characteristics (plaque number, maximum wall thickness, luminal stenosis, T1 hyperintensity, and plaque length) and WMH severity (Fazekas score and volume) were evaluated. Spearman correlation or point-biserial correlation analysis was used to determine the association between clinical characteristics and WMH volume. The independent association between intracranial plaque characteristics and the severity as well as WMH score was analyzed using logistic regression. The associations of intracranial plaque characteristics with total white matter hyperintensity (TWMH) volume, periventricular white matter hyperintensity (PWMH) volume and deep white matter hyperintensity (DWMH) volume were determined using multilevel mixed-effects linear regression.
A total of 159 subjects (mean age: 64.0±12.5 years; 103 males) were included into analysis. Spearman correlation analysis indicated that age was associated with TWMH volume (r=0.529, P<0.001), PWMH volume (r=0.523, P<0.001) and DWMH volume (r=0.515, P<0.001). Point-biserial correlation analysis indicated that smoking (r=-0.183, P=0.021) and hypertension (r=0.159, P=0.045) were associated with DWMH volume. After adjusting for confounding factors, logistic regression analysis showed plaque number was significantly associated with the presence of severe WMH [odds ratio (OR), 1.590; 95% CI, 1.241-2.035, P<0.001], PWMH score of 3 (OR, 1.726; 95% CI, 1.074-2.775, P=0.024), and DWMH score of 2 (OR, 1.561; 95% CI, 1.150-2.118, P=0.004). Intracranial artery luminal stenosis was associated with presence of severe WMH (OR, 1.032; 95% CI, 1.002-1.064, P=0.039) and PWMH score of 2 (OR, 1.057; 95% CI, 1.008-1.109, P=0.023). Multilevel mixed-effects linear regression analysis showed that plaque number was associated with DWMH volume (β=0.128; 95% CI, 0.016-0.240; P=0.026) after adjusted for age and sex.
In ischemic stroke patients, intracranial atherosclerotic plaque characteristics as measured by plaque number and luminal stenosis were associated with WMH burden.
颅内动脉粥样硬化和脑白质高信号(WMH)在卒中人群中均很常见。然而,颅内动脉粥样硬化与WMH之间的关系尚未完全阐明。因此,本研究旨在利用高分辨率磁共振血管壁成像技术,探讨缺血性卒中患者颅内动脉粥样硬化斑块特征与WMH严重程度之间的关系。
连续纳入2018年1月至2018年12月在北京清华长庚医院(一家三级综合性卒中中心)住院的缺血性卒中和并发颅内动脉粥样硬化且接受了高分辨率磁共振血管壁成像及常规脑磁共振成像检查的患者。评估颅内斑块特征(斑块数量、最大管壁厚度、管腔狭窄、T1高信号和斑块长度)和WMH严重程度(Fazekas评分和体积)。采用Spearman相关性分析或点二列相关性分析来确定临床特征与WMH体积之间的关联。使用逻辑回归分析颅内斑块特征与严重程度以及WMH评分之间的独立关联。采用多水平混合效应线性回归分析颅内斑块特征与总脑白质高信号(TWMH)体积、脑室周围脑白质高信号(PWMH)体积和深部脑白质高信号(DWMH)体积之间的关联。
共纳入159例受试者(平均年龄:64.0±12.5岁;男性103例)进行分析。Spearman相关性分析表明,年龄与TWMH体积(r = 0.529,P <0.00)、PWMH体积(r = 0.523,P <0.001)和DWMH体积(r = 0.515,P <0.001)相关。点二列相关性分析表明,吸烟(r = -0.183,P = 0.021)和高血压(r = 0.159,P = 0.045)与DWMH体积相关。在调整混杂因素后,逻辑回归分析显示斑块数量与重度WMH的存在显著相关[比值比(OR),1.590;95%置信区间(CI),1.241 - 2.035,P <0.001]、PWMH评分为3分(OR,1.726;95% CI,1.074 - 2.775,P = 0.024)以及DWMH评分为2分(OR,1.561;95% CI,1.150 - 2.118,P = 0.004)。颅内动脉管腔狭窄与重度WMH的存在(OR,1.032;95% CI,1.002 - 1.064,P = 0.039)和PWMH评分为2分(OR,1.057;95% CI,1.性回归分析显示,在调整年龄和性别后,斑块数量与DWMH体积相关(β = 0.128;95% CI,0.016 - 0.240;P = 0.026)。
在缺血性卒中患者中,通过斑块数量和管腔狭窄测量的颅内动脉粥样硬化斑块特征与WMH负担相关。