Hervé Dominique, Godin Ophélia, Dufouil Carole, Viswanathan Anand, Jouvent Eric, Pachaï Chahin, Guichard Jean-Pierre, Bousser Marie-Germaine, Dichgans Martin, Chabriat Hugues
Hopital Lariboisière, 2 rue Ambroise Paré, 75010 Paris, France.
Stroke. 2009 Jan;40(1):124-8. doi: 10.1161/STROKEAHA.108.520825. Epub 2008 Oct 23.
Three-dimensional MRI segmentation may be useful to better understand the physiopathology of lacunar infarctions. Using this technique, the distribution of lacunar infarctions volumes has been recently reported in patients with cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Whether the volume of each lacune (individual lacunar volume [ILV]) is associated with the patients' other MRI lesions or vascular risk factors has never been investigated. The purpose of this study was to study the impact of age, vascular risk factors, and MRI markers on the ILV in a large cohort of patients with CADASIL.
Of 113 patients with CADASIL, 1568 lacunes were detected and ILV was estimated after automatic segmentation on 3-dimensional T1-weighted imaging. Relationships between ILV and age, blood pressure, cholesterol, diabetes, white matter hyperintensities load, number of cerebral microbleeds, apparent diffusion coefficient, brain parenchymal fraction, and mean and median of distribution of lacunes volumes at the patient level were investigated. We used random effect models to take into account intraindividual correlations.
The ILV varied from 4.28 to 1619 mm(3). ILV was not significantly correlated with age, vascular risk factors, or different MRI markers (white matter hyperintensity volume, cerebral microbleed number, mean apparent diffusion coefficient or brain parenchymal fraction). In contrast, ILV was positively correlated with the patients' mean and median of lacunar volume distribution (P=0.0001).
These results suggest that the ILV is not related to the associated cerebral lesions or to vascular risk factors in CADASIL, but that an individual predisposition may explain predominating small or predominating large lacunes among patients. Local anatomic factors or genetic factors may be involved in these variations.
三维磁共振成像(MRI)分割技术可能有助于更好地理解腔隙性脑梗死的病理生理学。利用该技术,近期已有报道称脑常染色体显性遗传性动脉病伴皮质下梗死和白质脑病(CADASIL)患者腔隙性脑梗死体积的分布情况。然而,单个腔隙的体积(个体腔隙体积[ILV])是否与患者的其他MRI病变或血管危险因素相关,此前从未有过研究。本研究的目的是在一大群CADASIL患者中,研究年龄、血管危险因素和MRI标志物对ILV的影响。
在113例CADASIL患者中,共检测到1568个腔隙,并在三维T1加权成像自动分割后估算ILV。研究了ILV与年龄、血压、胆固醇、糖尿病、白质高信号负荷、脑微出血数量、表观扩散系数、脑实质分数以及患者层面腔隙体积分布的均值和中位数之间的关系。我们使用随机效应模型来考虑个体内相关性。
ILV范围为4.28至1619立方毫米。ILV与年龄、血管危险因素或不同的MRI标志物(白质高信号体积、脑微出血数量、平均表观扩散系数或脑实质分数)无显著相关性。相反,ILV与患者腔隙体积分布的均值和中位数呈正相关(P = 0.0001)。
这些结果表明,在CADASIL中,ILV与相关的脑部病变或血管危险因素无关,但个体易感性可能解释了患者中以小腔隙为主或以大腔隙为主的情况。局部解剖因素或遗传因素可能参与了这些差异。