Department of Neurology, University of South Carolina, Columbia, South Carolina, USA.
J Neuroimaging. 2023 Sep-Oct;33(5):764-772. doi: 10.1111/jon.13129. Epub 2023 Jun 2.
Cerebral hypoperfusion has been described in both severe and mild forms of symptomatic Coronavirus Disease 2019 (COVID-19) infection. The purpose of this study was to investigate global and regional cerebral blood flow (CBF) in asymptomatic COVID-19 patients.
Cases with mild COVID-19 infection and age-, sex-, and race-matched healthy controls were drawn from the Aging Brain Consortium at The University of South Carolina data repository. Demographics, risk factors, and data from the Montreal Cognitive Assessment were collected. Mean CBF values for gray matter (GM), white matter (WM), and the whole brain were calculated by averaging CBF values of standard space-normalized CBF image values falling within GM and WM masks. Whole brain region of interest-based analyses were used to create standardized CBF maps and explore differences between groups.
Twenty-eight cases with prior mild COVID-19 infection were compared with 28 controls. Whole-brain CBF (46.7 ± 5.6 vs. 49.3 ± 3.7, p = .05) and WM CBF (29.3 ± 2.6 vs. 31.0 ± 1.6, p = .03) were noted to be significantly lower in COVID-19 cases as compared to controls. Predictive models based on these data predicted COVID-19 group membership with a high degree of accuracy (85.2%, p < .001), suggesting CBF patterns are an imaging marker of mild COVID-19 infection.
In this study, lower WM CBF, as well as widespread regional CBF changes identified using quantitative MRI, was found in mild COVID-19 patients. Further studies are needed to determine the reliability of this newly identified COVID-19 brain imaging marker and determine what drives these CBF changes.
在症状性 2019 年冠状病毒病(COVID-19)感染的重症和轻症中均已描述了脑灌注不足。本研究的目的是调查无症状 COVID-19 患者的全脑和区域性脑血流(CBF)。
从南卡罗来纳大学老龄化大脑联盟的数据存储库中抽取了患有轻度 COVID-19 感染的病例和年龄、性别、种族匹配的健康对照者。收集了人口统计学、危险因素以及蒙特利尔认知评估的数据。通过对标准空间归一化 CBF 图像值内的 CBF 值进行平均计算,得出灰质(GM)、白质(WM)和整个大脑的平均 CBF 值。使用基于整个大脑感兴趣区的分析方法创建标准化 CBF 图谱,并探索组间差异。
将 28 例先前患有轻度 COVID-19 感染的病例与 28 例对照者进行比较。与对照组相比,COVID-19 病例的全脑 CBF(46.7±5.6 比 49.3±3.7,p=0.05)和 WM CBF(29.3±2.6 比 31.0±1.6,p=0.03)显著降低。基于这些数据的预测模型可以高度准确地预测 COVID-19 组的归属(85.2%,p<0.001),表明 CBF 模式是轻度 COVID-19 感染的影像学标志物。
在这项研究中,在轻度 COVID-19 患者中发现了 WM CBF 降低以及使用定量 MRI 识别的广泛区域性 CBF 变化。需要进一步的研究来确定这种新发现的 COVID-19 脑成像标志物的可靠性,并确定是什么导致了这些 CBF 变化。