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使用 3T 场强下的动态对比增强 T1 加权 MRI 测量脑灌注、血容量和血脑屏障通透性。

Measurement of brain perfusion, blood volume, and blood-brain barrier permeability, using dynamic contrast-enhanced T(1)-weighted MRI at 3 tesla.

机构信息

Functional Imaging Unit, Glostrup Hospital, University of Copenhagen, Copenhagen, Denmark.

出版信息

Magn Reson Med. 2009 Nov;62(5):1270-81. doi: 10.1002/mrm.22136.

Abstract

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 +/- 1/7 +/- 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.

摘要

评估血管特性对于脑肿瘤的诊断和随访以及对发病机制的基本了解至关重要。在本研究中,提出了一种通过动态 T1 加权成像对通过大脑的顺磁对比剂团块进行测量,从而同时估计脑灌注、血容量和血脑通透性的方法。这些方法应用于脑肿瘤患者和健康受试者。通过使用 Tikhonov 方法的无模型解卷积来估计灌注(灰质/白质/肿瘤:72±16/30±8/56±45mL/100g/min);通过 Patlak 方法和双室模型估计血容量(6±2/4±1/7±6mL/100g)和通透性(0.9±0.4/0.8±0.3/3±5mL/100g/min)。通过使用模型模拟验证了这些结果。此外,还可以生成基于像素的脑灌注、脑血容量和血脑屏障通透性图。

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