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使用源自远端大脑中动脉分支的动脉输入函数在中风 MRI 中获得可靠的灌注图。

Reliable perfusion maps in stroke MRI using arterial input functions derived from distal middle cerebral artery branches.

机构信息

Department of Neurology, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany.

出版信息

Stroke. 2010 Jan;41(1):95-101. doi: 10.1161/STROKEAHA.109.559807. Epub 2009 Dec 3.

Abstract

BACKGROUND AND PURPOSE

Perfusion imaging is widely used in stroke, but there are uncertainties with regard to the choice of arterial input function (AIF). Two important aspects of AIFs are signal-to-noise ratio and bolus-related signal drop, ideally close to 63%. We hypothesized that distal branches of the middle cerebral artery (MCA) provide higher quality of AIF compared with proximal branches.

METHODS

Over a period of 3 months, consecutive patients with suspected stroke were examined in a 3-T MRI scanner within 24 hours of symptom onset. AIFs were selected manually in M1, M2, and M3 branches of the MCA contralateral to the suspected ischemia. Signal-to-noise ratio and bolus-related signal drop were analyzed. Perfusion maps were created for every patient and mean values at the insular level as well as relative ranges were compared.

RESULTS

Mean age of 132 included patients (53 females) was 67.3 years (SD, 14.9) and median National Institutes of Health Stroke Scale was 3 (interquartile range [IQR] 0 to 6). For further analyses, 4 patients were excluded due to discontinuation of scanning or insufficient bolus arrival (signal drop <15%). Median signal-to-noise ratio was highest in M3 branches (36.41; IQR, 29.29 to 43.58). Median signal-to-noise ratio in M2 branches was intermediate (27.54; IQR, 20.78 to 34.00) and median signal-to-noise ratio in M1 was low (12.40; IQR, 9.11 to 17.15). Using AIFs derived from M1 and M2 branches of the MCA median signal drop was 77% (IQR, 72% to 82%) and 78% (IQR, 73% to 83%), respectively. Signal drop was significantly reduced when AIF was selected in M3 branches with a median of 72% (IQR, 63% to 77%; P<0.01). Highest variability of 3456 perfusion maps was found in those derived from M1.

CONCLUSIONS

The level of AIF selection in the MCA has a major impact on reliability and even quantitative parameters of perfusion maps. For better comparison of perfusion maps, the AIF should be defined by selection of distal branches of the MCA contralateral to the suspected ischemia. In future trials involving perfusion imaging, the MCA segment used for the AIF should be specified.

摘要

背景与目的

灌注成像是中风诊断中常用的影像学方法,但在选择动脉输入函数(AIF)方面存在不确定性。AIF 有两个重要方面,即信噪比和与对比剂团注相关的信号下降,理想情况下应接近 63%。我们假设大脑中动脉(MCA)的远端分支提供的 AIF 质量优于近端分支。

方法

在 3 个月的时间内,连续的疑似中风患者在症状发作后 24 小时内在 3T MRI 扫描仪中进行检查。在对侧疑似缺血的 MCA 的 M1、M2 和 M3 分支中手动选择 AIF。分析信噪比和与对比剂团注相关的信号下降。为每位患者创建灌注图,并比较岛叶水平的平均值以及相对范围。

结果

纳入的 132 例患者(53 例女性)的平均年龄为 67.3 岁(标准差,14.9),美国国立卫生研究院中风量表中位数为 3 分(四分位距 [IQR] 0 至 6)。由于扫描中断或对比剂团注不足(信号下降<15%),4 例患者被排除在进一步分析之外。M3 分支的中位信噪比最高(36.41;IQR,29.29 至 43.58)。M2 分支的中位信噪比居中(27.54;IQR,20.78 至 34.00),M1 分支的中位信噪比最低(12.40;IQR,9.11 至 17.15)。使用源自 MCA 的 M1 和 M2 分支的 AIF,中位数信号下降分别为 77%(IQR,72%至 82%)和 78%(IQR,73%至 83%)。当在对侧疑似缺血的 MCA 的 M3 分支中选择 AIF 时,信号下降显著降低,中位数为 72%(IQR,63%至 77%;P<0.01)。在源自 M1 的灌注图中发现最大的 3456 个灌注图的变异性。

结论

MCA 中 AIF 选择的水平对灌注图的可靠性甚至定量参数有重大影响。为了更好地比较灌注图,应通过选择对侧疑似缺血的 MCA 远端分支来定义 AIF。在涉及灌注成像的未来试验中,应指定用于 AIF 的 MCA 节段。

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