Tian Xia, Shi Zhang, Wang Zhen, Xu Bing, Peng Wen-Jia, Zhang Xue-Feng, Liu Qi, Chen Shi-Yue, Tian Bing, Lu Jian-Ping, Shao Cheng-Wei
Department of Radiology, Changhai Hospital, Naval Medical University, Shanghai, China.
Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Front Neurosci. 2023 Mar 23;17:1160018. doi: 10.3389/fnins.2023.1160018. eCollection 2023.
We aim to analyze the difference in quantitative features between culprit and non-culprit intracranial plaque without substantial stenosis using three-dimensional high-resolution vessel wall MRI (3D hr-vw-MRI).
The patients with cerebral ischemic symptoms of the unilateral anterior circulation were recruited who had non-stenotic intracranial atherosclerosis (<50%) confirmed by computed tomographic angiographic (CTA) or magnetic resonance angiography (MRA). All patients underwent 3D hr-vw MRI within 1 month after symptom onset. 3D hr-vw-MRI characteristics, including wall thickness, plaque burden, enhancement ratio, plaque volume and intraplaque hemorrhage, and histogram features were analyzed based on T2-, precontrast T1-, and post-contrast T1-weighted images. Univariate and multivariate logistic regression analysis were used to identify key determinates differentiating culprit and non-culprit plaques and to calculate the odds ratios (ORs) with 95% confidence intervals (CIs).
A total of 150 plaques were identified, of which 133 plaques (97 culprit and 36 non-culprit) were in the middle cerebral artery, three plaques (all culprit) were in the anterior cerebral artery (ACA) and 14 (11 culprit and three non-culprit) were in the internal carotid artery (ICA). Of all the quantitative parameters analyzed, plaque volume, maximum wall thickness, minimum wall thickness, plaque burden, enhancement ratio, coefficient of variation of the most stenotic site, enhancement ratio of whole culprit plaque in culprit plaques were significantly higher than those in non-culprit plaques. Multivariate logistic regression analysis found that plaque volume [OR, 1.527 (95% CI, 1.231-1.894); < 0.001] and enhancement ratio of whole plaque [OR, 1.095 (95% CI, 1.021-1.175); = 0.011] were significantly associated with culprit plaque. The combination of the two features obtained a better diagnostic efficacy for culprit plaque with sensitivity and specificity (0.910 and 0.897, respectively) than each of the two parameters alone.
3D hr-vw MRI features of intracranial atherosclerotic plaques provided potential values over prediction of ischemic stroke patients with non-stenotic arteries. The plaque volume and enhancement ratio of whole plaque of stenosis site were found to be effective predictive parameters.
我们旨在使用三维高分辨率血管壁磁共振成像(3D hr-vw-MRI)分析无明显狭窄的罪犯和非罪犯颅内斑块的定量特征差异。
招募单侧前循环脑缺血症状患者,这些患者经计算机断层血管造影(CTA)或磁共振血管造影(MRA)证实存在非狭窄性颅内动脉粥样硬化(<50%)。所有患者在症状发作后1个月内接受3D hr-vw MRI检查。基于T2加权、对比前T1加权和对比后T1加权图像,分析3D hr-vw-MRI特征,包括壁厚度、斑块负荷、强化率、斑块体积和斑块内出血,以及直方图特征。采用单因素和多因素逻辑回归分析来确定区分罪犯和非罪犯斑块的关键决定因素,并计算95%置信区间(CI)的比值比(OR)。
共识别出150个斑块,其中133个斑块(97个罪犯斑块和36个非罪犯斑块)位于大脑中动脉,3个斑块(均为罪犯斑块)位于大脑前动脉(ACA),14个(11个罪犯斑块和3个非罪犯斑块)位于颈内动脉(ICA)。在所有分析的定量参数中,罪犯斑块中的斑块体积、最大壁厚度、最小壁厚度、斑块负荷、强化率、最狭窄部位的变异系数、整个罪犯斑块的强化率均显著高于非罪犯斑块中的相应参数。多因素逻辑回归分析发现,斑块体积[OR,1.527(95%CI,1.231-1.894);P<0.001]和整个斑块的强化率[OR,1.095(95%CI,1.021-1.175);P=0.011]与罪犯斑块显著相关。这两个特征的组合对罪犯斑块的诊断效能优于单独的两个参数,敏感性和特异性分别为0.910和0.897。
颅内动脉粥样硬化斑块的3D hr-vw MRI特征在预测无狭窄动脉的缺血性卒中患者方面具有潜在价值。狭窄部位的斑块体积和整个斑块的强化率被发现是有效的预测参数。