Measurement of Brain Perfusion, Blood Volume, and Blood-Brain Barrier Permeability, Using Dynamic Contrast-Enhanced T1-Weighted MRI at 3 Tesla
Measurement of Brain Perfusion, Blood Volume, and Blood-Brain Barrier Permeability, Using Dynamic Contrast-Enhanced T1-Weighted MRI at 3 Tesla
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DOI：
10.1002/mrm.22136
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发表时间：
2009-11-01
影响因子：
3.3
通讯作者：
Hansen, Adam E.
中科院分区：
文献类型：
--
作者：
Larsson, Henrik B. W.;Courivaud, Frederic;Hansen, Adam E.
血管特性的评估对脑肿瘤的诊断和随访以及对其发病机制的基本认识至关重要。在这项研究中，提出了一种程序，可以同时估计脑灌注、血容量和血脑通透性，通过动态t -1加权成像的顺磁造影剂通过大脑。该方法适用于脑肿瘤患者和健康受试者。使用Tikhonov方法通过无模型反卷积估计灌注（灰质/白质/肿瘤：72 +/- 16/30 8/56 +/- 45 mL/100 g/min）；采用Patlak方法和双室模型估计血容量（6 +/- 2/4 / 6ml / 100g）和通透性（0.9 +/- 0.4/0.8 +/- 0.3/3 5ml / 100g /min）。通过模型仿真验证了上述结果。此外，还可以逐像素生成脑灌注、脑血容量和血脑屏障通透性的地图。中华医学杂志（英文版），2009。(C) 2009 Wiley-Liss, Inc。
Assessment of vascular properties is essential to diagnosis and follow-up and basic understanding of pathogenesis in brain tumors. In this study, a procedure is presented that allows concurrent estimation of cerebral perfusion, blood volume, and blood-brain permeability from dynamic T-1-weighted imaging of a bolus of a paramagnetic contrast agent passing through the brain. The methods are applied in patients with brain tumors and in healthy subjects. Perfusion was estimated by model-free deconvolution using Tikhonov's method (gray matter/white matter/tumor: 72 +/- 16/30 8/56 +/- 45 mL/100 g/min); blood volume (6 +/- 2/4 in 6 mL/100 g) and permeability (0.9 +/- 0.4/0.8 +/- 0.3/3 5 mL/100 g/min) were estimated by using Patlak's method and a two-compartment model. A corroboration of these results was achieved by using model simulation. In addition, it was possible to generate maps on a pixel-by-pixel basis of cerebral perfusion, cerebral blood volume, and blood-brain barrier permeability. Magn Reson Med 62:1270-1281, 2009. (C) 2009 Wiley-Liss, Inc.