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微血管密度预测梗死灶生长的潜力:血管大小成像的两个月实验研究。

The potential of microvessel density in prediction of infarct growth: a two-month experimental study in vessel size imaging.

机构信息

Center for Stroke Research Berlin, Charité-University Medicine Berlin, Berlin, Germany.

出版信息

Cerebrovasc Dis. 2012;33(4):303-9. doi: 10.1159/000335302. Epub 2012 Feb 15.

Abstract

OBJECTIVES

Vessel size imaging is a novel technique to evaluate pathological changes of the microvessel density quantity Q and the mean vessel size index (VSI). As a follow-up study, we assessed these parameters for microscopic description of ischemic penumbra and their potentials in predicting lesion growth.

METHODS

Seventy-five patients with a perfusion-diffusion mismatch were examined within 24 h from symptom onset. We defined three regions of interest: the initial infarct (INF), the ischemic penumbra (IPE), and the healthy region (HEA) symmetric to the IPE. For 23 patients with a 6th-day follow-up, IPE regions were divided into areas of infarct growth and areas of oligemia.

RESULT

The median values of Q and VSI were: for INF 0.29 s(-1/3) and 15.8 μm, for IPE 0.33 s(-1/3) and 20.6 μm and for HEA 0.36 s(-1/3) and 17.4 μm. The Q in the IPE was significantly smaller than in HEA, and VSI was significantly larger. The Q with a threshold of 0.32 s(-1/3) predicted the final infarction with a sensitivity of 69% and a specificity of 64%.

CONCLUSIONS

The reduced Q and increased VSI in the IPE confirmed our previous pilot results. Although Q showed a trend to identify the severity of ischemia in an overall voxel population, its potential in predicting infarct growth needs to be further tested in a larger cohort including a clear status of reperfusion and recanalization.

摘要

目的

血管大小成像是一种评估微血管密度量 Q 和平均血管大小指数(VSI)的病理变化的新技术。作为一项后续研究,我们评估了这些参数,以对缺血半影区进行微观描述,并评估它们在预测病灶生长方面的潜力。

方法

在症状发作后 24 小时内,对 75 名灌注-弥散不匹配的患者进行了检查。我们定义了三个感兴趣区:初始梗死区(INF)、缺血半影区(IPE)和与 IPE 对称的健康区(HEA)。对于 23 名在第 6 天进行随访的患者,IPE 区域被分为梗死生长区和低灌注区。

结果

Q 和 VSI 的中位数分别为:INF 为 0.29 s(-1/3)和 15.8 μm,IPE 为 0.33 s(-1/3)和 20.6 μm,HEA 为 0.36 s(-1/3)和 17.4 μm。IPE 中的 Q 明显小于 HEA,而 VSI 明显较大。阈值为 0.32 s(-1/3)的 Q 预测最终梗死的灵敏度为 69%,特异性为 64%。

结论

IPE 中 Q 的降低和 VSI 的增加证实了我们之前的初步研究结果。尽管 Q 显示出一种趋势,可以在总体体素群体中识别缺血的严重程度,但它在预测梗死生长方面的潜力需要在包括明确再灌注和再通状态的更大队列中进一步测试。

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