The impact of mechanical thrombectomy on the blood–brain barrier in patients with acute ischemic stroke: A non-contrast MR imaging study using DP-pCASL and NODDI

IF 3.4 2区 医学 Q2 NEUROIMAGING
Nikolaos Mouchtouris , Isaiah Ailes , Ki Chang , Adam Flanders , Feroze Mohamed , Stavropoula Tjoumakaris , Reid Gooch , Pascal Jabbour , Robert Rosenwasser , Mahdi Alizadeh
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引用次数: 0

Abstract

Background and purpose

While mechanical thrombectomy (MT) achieves restoration of cerebral blood flow to the area at risk in patients with acute ischemic stroke (AIS), the influx of blood flow may exacerbate the blood–brain barrier (BBB) disruption and extravasation across the BBB, and it therefore remains unclear how reperfusion impacts the blood–brain barrier integrity. In this study, we use diffusion-prepared pseudocontinuous ASL (DP-pCASL) and Neurite Orientation Dispersion and Density Imaging (NODDI) sequence to measure the water exchange rate (kw) in patients who underwent either MT or medical management and determine its impact on the brain tissue microstructure in order to elucidate the impact of MT on BBB complex integrity.

Materials and methods

We prospectively enrolled 21 patients with AIS treated at our institution from 10/2021 to 6/2023 who underwent MR imaging at a 3.0-Tesla scanner. Patients underwent DP-pCASl and NODDI imaging in addition to the standard stroke protocol which generated cerebral blood flow (CBF), arterial transit time (ATT), water exchange rate (kw), orientation dispersion index (ODI), intracellular volume fraction (ICVF), and free water fraction (FWF) parametric maps.

Results

Of the 21 patients, 11 underwent MT and 10 were treated non-operatively. The average age and NIHSS for the MT cohort and non-MT cohorts were 69.3 ± 16.6 years old and 15.0 (12.0–20.0), and 70.2 ± 10.7 (p = 0.882) and 6.0 (3.8–9.0, p = 0.003) respectively. The average CBF, ATT, and kw in the infarcted territory of the MT cohort were 38.2 (18.4–59.6), 1347.6 (1182.5–1842.3), and 107.8 (79.2–140.1) respectively. The average CBF, ATT, and kw in the stroke ROI were 16.0 (8.8–36.6, p = 0.036), 1090.8 (937.1–1258.9, p = 0.013), 89.7 (68.0–122.7, p = 0.314) respectively. Linear regression analysis showed increasing CBF (p = 0.008) and undergoing mechanical thrombectomy (p = 0.048) were significant predictors of increased kw.

Conclusion

Using our multimodal non-contrast MRI protocol, we demonstrate that increased CBF and mechanical thrombectomy increased kw, suggesting a better functioning BBB complex. Higher kw suggests less disruption of the BBB complex in the MT cohort.

机械血栓切除术对急性缺血性脑卒中患者血脑屏障的影响:使用 DP-pCASL 和 NODDI 进行的非对比 MR 成像研究。
背景和目的:虽然机械性血栓切除术(MT)可恢复急性缺血性卒中(AIS)患者危险区域的脑血流,但血流的流入可能会加剧血脑屏障(BBB)的破坏和跨BBB的外渗,因此再灌注如何影响血脑屏障的完整性仍不清楚。在本研究中,我们使用弥散预处理假连续 ASL(DP-pCASL)和神经元定向弥散和密度成像(NODDI)序列测量接受 MT 或药物治疗的患者的水交换率(kw),并确定其对脑组织微观结构的影响,以阐明 MT 对 BBB 复合物完整性的影响:我们前瞻性地招募了 21 名于 2021 年 10 月至 2023 年 6 月在我院接受治疗的 AIS 患者,他们都在 3.0 特斯拉扫描仪上接受了磁共振成像检查。除了标准卒中方案外,患者还接受了DP-pCASl和NODDI成像,该方案可生成脑血流(CBF)、动脉通过时间(ATT)、水交换率(kw)、方向弥散指数(ODI)、细胞内体积分数(ICVF)和游离水分数(FWF)参数图:21 名患者中,11 人接受了 MT 治疗,10 人接受了非手术治疗。MT 组和非 MT 组的平均年龄和 NIHSS 分别为 69.3 ± 16.6 岁和 15.0(12.0-20.0)岁,以及 70.2 ± 10.7(p = 0.882)岁和 6.0(3.8-9.0,p = 0.003)岁。MT 队列梗死区的平均 CBF、ATT 和 kw 分别为 38.2(18.4-59.6)、1347.6(1182.5-1842.3)和 107.8(79.2-140.1)。卒中 ROI 的平均 CBF、ATT 和 kw 分别为 16.0(8.8-36.6,p = 0.036)、1090.8(937.1-1258.9,p = 0.013)、89.7(68.0-122.7,p = 0.314)。线性回归分析显示,CBF增加(p = 0.008)和接受机械血栓切除术(p = 0.048)是kw增加的重要预测因素:利用我们的多模态非对比 MRI 方案,我们证明了 CBF 增加和机械血栓切除术可增加 kw,这表明 BBB 复合物的功能更好。较高的 kw 表明 MT 队列中 BBB 复合物的破坏程度较低。
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来源期刊
Neuroimage-Clinical
Neuroimage-Clinical NEUROIMAGING-
CiteScore
7.50
自引率
4.80%
发文量
368
审稿时长
52 days
期刊介绍: NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.
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