Estimating blood-brain barrier opening in a rat model of hemorrhagic transformation with Patlak plots of Gd-DTPA contrast-enhanced MRI.

Estimating blood-brain barrier opening in a rat model of hemorrhagic transformation with Patlak plots of Gd-DTPA contrast-enhanced MRI.
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使用 Gd-DTPA 对比增强 MRI 的 Patlak 图估计出血性转化大鼠模型中的血脑屏障开放。

DOI:
10.1007/978-3-7091-0651-8_7
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发表时间:
2003
期刊:
Acta neurochirurgica. Supplement
影响因子:
--
通讯作者:
Arniego,PA
Arniego,PA
中科院分区:
--
文献类型:
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作者:
Fenstermacher,JD;Knight,RA;Ewing,JR;Nagaraja,T;Nagesh,V;Yee,JS;Arniego,PA

文献摘要

相似文献

对出血性转化大鼠模型的Gd移位T1弛豫时间图像进行Patlak图处理[2,3],得到了Gd-DTPA(K1)血-脑流入速率常数的估计值和图。Patlak图还产生了一个迄今未被识别的参数,即血管内Gd移位质子(Vp)的分布空间,这是一个血液到组织转移水的指标。血脑屏障(BBB)开口区Gd-DTPA的K1值很高,与定量放射自显影(QAR)同时测定的14C-蔗糖的K1值相近。在这些相同的ROI中,Vp比正常大5倍,这表明BBB对水的通透性也增加了。缺血区的14C-蔗糖间隙约为8%,提示有相当大的间质间隙。Gd-DTPA-ΔT1显像的空间分辨率较好,但不能与14C-蔗糖-QAR相媲美。这项研究表明,当使用Patlak图处理数据时,定量ΔT1-MRI可以估计Gd-DTPA的局部血-脑转移常数和水的分布。这种方法可能有助于追踪动物和人类血脑屏障功能的时间进程。
Patlak plot processing [2, 3] of Gd-shifted T1relaxation-time images from a rat model of hemorrhagic transformation yielded estimates and maps of the blood-to-brain influx rate constant of Gd-DTPA (K1). The Patlak plots also produced a heretofore unrecognized parameter, the distribution space of the intravascularGd-shifted protons (Vp), an index of blood-to-tissue transfer of water. The K1values for Gd-DTPA were very high for the regions of blood-brain barrier (BBB) opening and were similar to those of14C-sucrose concurrently obtained by quantitative autoradiographic (QAR) analysis. In these same ROI’s, Vpwas five-fold greater than normal, which suggests that the permeability of the BBB to water was also increased. The14C-sucrose space of distribution in the ischemic ROI’s was around 8%, thus indicating a sizable interstitial space. The spatial resolving power of Gd-DTPA-ΔT1imaging was rather good, although no match for14C-sucrose-QAR. This study shows that quantitative ΔT1-MRI estimates of regional blood-brain transfer constants of Gd-DTPA and water distribution are possible when Patlak plots are employed to process the data. This approach may be useful for tracking the time-course of BBB barrier function in both animals and humans.