定量易感性图谱作为评估急性缺血性卒中大脑中动脉血栓组成的生物标志物

Shanhua Han, Yifan Lv, Ke Gao, Qiuyue Quan, Haitao Lu, Huazheng Liang, Ying Zhu, Linglei Meng, Yu Luo
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引用次数: 0

摘要

目的:比较大脑中动脉(MCA)不同类型血栓的定量易感图(QSM)易感值及病理组成,评价易感权重成像在脑卒中血栓成分诊断中的价值。材料与方法:本研究纳入15例患者(73.47±10.7岁;2017年1月至2019年12月期间,6名男性和9名女性因急性大脑中动脉闭塞而在机械取栓前接受磁共振成像。所有患者在SWI(敏感性加权成像)上均有易感血管征象(SVS),采用核磁共振SPIN软件进行信号处理,测量血栓易感程度。对取出的血栓进行组织病理学分析,并通过两个独立的Kolmogorov-Smirnov检验分析血栓敏感性与病理组成的相关性。通过SWI和DSA评估血栓的位置和长度,并采用两独立样本Wilcoxon秩检验探讨相关性。采用Spearman相关分析分析易感性与入院时梗死核心容积(ADC < 620 mm2/s容积图)、低灌注容积(Tmax bbb60 s容积图)、90天改良Rankin量表(mRS)和美国国立卫生研究院卒中量表(NIHSS)的相关性。结果:在15个检索到的血栓中,红细胞优势血栓和纤维蛋白优势血栓的平均敏感性分别为209.88±11.32和155.70±28.20 (ppb) (p = 0.037)。SWI和DSA(数字减影血管造影)测量血栓近端至中线的平均距离分别为24.67±8.43 mm和24.62±8.44 mm (p < 0.001)。血栓敏感性与ADC < 620 mm2/s容积图呈弱负相关(r = 0.356, p = 0.193),与入院时Tmax bbb6.0 s容积图(r = 0.252, p = 0.365)、90天mRS (r = 0.182, p = 0.517)、NIHSS (r = 0.262, p = 0.345)呈弱负相关。结论:血栓定量敏感性值的测定有助于预测急性大脑中动脉闭塞患者血栓的组成。QSM提供了一种更准确的评价血栓的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative Susceptibility Mapping as a Biomarker to Assess Middle Cerebral Artery Thrombus Composition in Acute Ischemic Stroke
Objective: To compare the quantitative susceptibility mapping (QSM) susceptibility values and pathology composition with different types of thrombi in the middle cerebral artery (MCA), and assess the value of susceptibility weight imaging in thrombus component diagnosis in stroke. Materials and methods: This study included 15 patients (73.47 ± 10.7 years; 6 males and 9 females) who underwent magnetic resonance imaging before mechanical thrombectomy due to acute middle cerebral artery occlusion between January 2017 and December 2019. All patients had the susceptibility vessel sign (SVS) on SWI (susceptibility weighted imaging), and the thrombus susceptibility was measured by signal processing in nuclear magnetic resonance SPIN software. The retrieved thrombi underwent histopathologic analysis, and the correlation between thrombus susceptibility and the pathologic composition was analyzed by two independent Kolmogorov–Smirnov tests. The location and length of thrombi were evaluated on both SWI and DSA, and the correlation was explored using two independent samples Wilcoxon rank test. The correlations between susceptibility and the infarct core volumes (ADC < 620 mm2/s volume map), hypoperfusion volumes (Tmax > 6 s volume map), 90-day modified Rankin scale (mRS), and the National Institutes of Health Stroke Scale (NIHSS) at admission were analyzed by Spearman’s correlation analysis. Results: Among the 15 retrieved thrombi, the mean thrombus susceptibility of RBC-dominant and fibrin-dominant thrombi were 209.88 ± 11.32 and 155.70 ± 28.20 (ppb), respectively (p = 0.037). The average distance of the proximal end of the thrombi to the midline was 24.67 ± 8.43 mm and 24.62 ± 8.44 mm, as measured by SWI and DSA (digital subtraction angiography), respectively (p < 0.001). The correlation between thrombus susceptibility was weakly negatively correlated with ADC < 620 mm2/s volume map (r = 0.356, p = 0.193) and poorly correlated with Tmax > 6 s volume map (r = 0.252, p = 0.365), 90-day mRS (r = 0.182, p = 0.517), and NIHSS at admission (r = 0.262, p = 0.345). Conclusions: The measurements of the Quantitative susceptibility value of thrombi may help predict the composition of thrombi in patients with acute middle cerebral artery occlusion. QSM provides a more accurate method to evaluate the thrombi.
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