Wang Xin, Valdés Hernández Maria Del C, Doubal Fergus, Chappell Francesca M, Piper Rory J, Deary Ian J, Wardlaw Joanna M
Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE), University of Edinburgh, Edinburgh, UK.
J Neurosci Methods. 2016 Jan 15;257:34-44. doi: 10.1016/j.jneumeth.2015.09.010. Epub 2015 Sep 28.
Perivascular spaces (PVS) are associated with ageing, cerebral small vessel disease, inflammation and increased blood brain barrier permeability. Most studies to date use visual rating scales to assess PVS, but these are prone to observer variation.
We developed a semi-automatic computational method that extracts PVS on bilateral ovoid basal ganglia (BG) regions on intensity-normalised T2-weighted magnetic resonance images. It uses Analyze™10.0 and was applied to 100 mild stroke patients' datasets. We used linear regression to test association between BGPVS count, volume and visual rating scores; and between BGPVS count & volume, white matter hyperintensity (WMH) rating scores (periventricular: PVH; deep: DWMH) & volume, atrophy rating scores and brain volume.
In the 100 patients WMH ranged from 0.4 to 119ml, and total brain tissue volume from 0.65 to 1.45l. BGPVS volume increased with BGPVS count (67.27, 95%CI [57.93 to 76.60], p<0.001). BGPVS count was positively associated with WMH visual rating (PVH: 2.20, 95%CI [1.22 to 3.18], p<0.001; DWMH: 1.92, 95%CI [0.99 to 2.85], p<0.001), WMH volume (0.065, 95%CI [0.034 to 0.096], p<0.001), and whole brain atrophy visual rating (1.01, 95%CI [0.49 to 1.53], p<0.001). BGPVS count increased as brain volume (as % of ICV) decreased (-0.33, 95%CI [-0.53 to -0.13], p=0.002).
BGPVS count and volume increased with the overall increase of BGPVS visual scores (2.11, 95%CI [1.36 to 2.86] for count and 0.022, 95%CI [0.012 to 0.031] for volume, p<0.001). Distributions for PVS count and visual scores were also similar.
This semi-automatic method is applicable to clinical protocols and offers quantitative surrogates for PVS load. It shows good agreement with a visual rating scale and confirmed that BGPVS are associated with WMH and atrophy measurements.
血管周围间隙（PVS）与衰老、脑小血管病、炎症以及血脑屏障通透性增加有关。迄今为止，大多数研究使用视觉评分量表来评估PVS，但这些方法容易受到观察者差异的影响。
我们开发了一种半自动计算方法，该方法可在强度归一化的T2加权磁共振图像上的双侧卵形基底神经节（BG）区域提取PVS。它使用Analyze™10.0，并应用于100例轻度中风患者的数据集。我们使用线性回归来测试BG PVS计数、体积与视觉评分之间的关联；以及BG PVS计数与体积、白质高信号（WMH）评分（脑室周围：PVH；深部：DWMH）与体积、萎缩评分和脑体积之间的关联。
在100例患者中，WMH范围为0.4至119ml，全脑组织体积范围为0.65至1.45l。BG PVS体积随BG PVS计数增加（67.27，95%CI [57.93至76.60]，p<0.001）。BG PVS计数与WMH视觉评分（PVH：2.20，95%CI [1.22至3.18]，p<0.001；DWMH：1.92，95%CI [0.99至2.85]，p<0.001）、WMH体积（0.065，95%CI [0.034至0.096]，p<0.001）以及全脑萎缩视觉评分（1.01，95%CI [0.49至1.53]，p<0.001）呈正相关。BG PVS计数随着脑体积（占ICV的百分比）减小而增加（-0.33，95%CI [-0.53至-0.13]，p=0.002）。
BG PVS计数和体积随着BG PVS视觉评分的总体增加而增加（计数为2.11，95%CI [1.36至2.86]；体积为0.022，95%CI [0.012至0.031]，p<0.001）。PVS计数和视觉评分的分布也相似。
这种半自动方法适用于临床方案，并为PVS负荷提供了定量替代指标。它与视觉评分量表显示出良好的一致性，并证实BG PVS与WMH和萎缩测量相关。
