Johns Hopkins University School of Medicine, Department of Neurology and Neuroscience, Baltimore, MD 21287, USA.
Northeastern University Bouvé College of Health Sciences, Department of Communication Sciences and Disorders, Boston, MA 02115, USA.
Neuroimage Clin. 2022;34:102991. doi: 10.1016/j.nicl.2022.102991. Epub 2022 Mar 23.
In acute ischemic stroke, reported relationships between lesion metrics and behavior have largely focused on lesion volume and location. However, hypoperfusion has been shown to correlate with deficits in the acute stage. Hypoperfusion is typically identified using perfusion imaging in clinical settings, which requires contrast. Unfortunately, contrast is contraindicated for some individuals. An alternative method has been proposed to identify hypoperfusion using hyperintense vessels on fluid-attenuated inversion recovery (FLAIR) imaging. This study aimed to validate the clinical importance of considering hypoperfusion when accounting for behavior in acute stroke and demonstrate the clinical utility of scoring the presence of hyperintense vessels to quantify it. One hundred and fifty-three participants with acute ischemic stroke completed a battery of commonly-used neurological and behavioral measures. Clinical MRIs were used to determine lesion volume and to score the presence of hyperintense vessels seen on FLAIR images to estimate severity of hypoperfusion in six different vascular regions. National Institutes of Health Stroke Scale (NIHSS) scores, naming accuracy (left hemisphere strokes), and language content produced during picture description were examined in relation to lesion volume, hypoperfusion, and demographic variables using correlational analyses and multivariable linear regression. Results showed that lesion volume and hypoperfusion, in addition to demographic variables, were independently associated with performance on NIHSS, naming, and content production. Specifically, hypoperfusion in the frontal lobe independently correlated with NIHSS scores, while hypoperfusion in parietal areas independently correlated with naming accuracy and content production. These results correspond to previous reports associating hypoperfusion with function, confirming that hypoperfusion is an important consideration-beyond lesion volume-when accounting for behavior in acute ischemic stroke. Quantifying hypoperfusion using FLAIR hyperintense vessels can be an essential clinical tool when other methods of identifying hypoperfusion are unavailable or time prohibitive.
在急性缺血性中风中,报告的病变指标与行为之间的关系主要集中在病变体积和位置上。然而,已经证明低灌注与急性期的缺陷相关。低灌注通常在临床环境中使用灌注成像来识别,这需要对比剂。不幸的是,对比剂对某些人是禁忌的。已经提出了一种替代方法,即使用液体衰减反转恢复(FLAIR)成像上的高信号血管来识别低灌注。本研究旨在验证在急性中风中考虑低灌注对行为的重要性,并证明评分高信号血管存在以量化其的临床实用性。153 名急性缺血性中风患者完成了一组常用的神经和行为测量。临床 MRI 用于确定病变体积,并对 FLAIR 图像上看到的高信号血管进行评分,以估计六个不同血管区域的低灌注严重程度。使用相关分析和多变量线性回归,检查国立卫生研究院中风量表(NIHSS)评分、命名准确性(左半球中风)和图片描述过程中的语言内容与病变体积、低灌注和人口统计学变量之间的关系。结果表明,除了人口统计学变量外,病变体积和低灌注与 NIHSS、命名和内容生成的表现独立相关。具体而言,额叶的低灌注与 NIHSS 评分独立相关,而顶叶区域的低灌注与命名准确性和内容生成独立相关。这些结果与先前将低灌注与功能相关联的报告一致,证实了在急性缺血性中风中,除了病变体积外,低灌注是考虑行为的一个重要因素。使用 FLAIR 高信号血管量化低灌注可以成为一种重要的临床工具,当其他识别低灌注的方法不可用时或时间不允许时。