Quantification of Perfusion and Permeability in Multiple Sclerosis Dynamic Contrast-Enhanced MRI in 3D at 3T
Quantification of Perfusion and Permeability in Multiple Sclerosis Dynamic Contrast-Enhanced MRI in 3D at 3T
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DOI：
10.1097/rli.0b013e31823bfc97
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发表时间：
2012-04-01
影响因子：
6.7
通讯作者：
Glaser, Christian
中科院分区：
文献类型：
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作者：
Ingrisch, Michael;Sourbron, Steven;Glaser, Christian
背景和目的：脑血流量（CBF），脑血容量（CBV），和血脑屏障通透性在分散的病变在大脑中的量化是一个方法上的挑战。我们的目的是研究3D T1加权动态对比增强（DCE）MRI采集结合二室建模方法的可行性，用于量化多发性硬化（MS）患者病变和正常外观白色物质（NAWM）中的CBF、CBV和渗透性表面积乘积（PS）。材料和方法：共有19名MS患者（平均年龄35岁，12名女性）在3 T MRI扫描仪上接受了3D T1加权扰相梯度回波序列的DCE-MRI。在420 s的总测量时间内，每2.1秒采集一次共44个切片（厚度3 mm），平面内分辨率为1.7 x 1.7 mm（2）（矩阵大小为128 x 104），覆盖整个大脑。数据后处理使用一组2室模型与自动化模型选择; CBF，CBV，和PS作为衡量血脑屏障渗漏确定对比增强（CE）和nonenhancing病变以及在NAWM.Results：灌注定量产生合理的值在病变以及在NAWM。在CE病变中，CBF（22.9（22.7）vs. 15.8（6.7）mL/100 mL/min）、CBV（1.18（0.48）vs. 0.76（0.19）mL/100 mL）和PS（0.98（0.46）vs. 0.04（0.03）mL/100 mL/min）显著（P < 0.001）高于NAWM。在nonenhancement病变，一个弱（P < 0.05）显着增加CBV为1.00（0.35）mL/100 mL，相比NAWM，observed.Conclusion：我们的研究表明，3D T1加权DCE-MRI的可行性定量评估CBF，CBV，和PS在NAWM以及在多个MS病变分散在整个大脑，即使没有以前的知识，他们的位置。在区域水平上的量化在病变和NAWM中都产生了合理的值，但参数图将受益于对比度噪声比的增加。CE病变中CBF、CBV和PS值的增加可能反映了炎症活动，参数估计值的异质性表明可能存在病变特征。NAWM出现低灌注，这与先前的研究一致，但需要对照组进行验证。
Background and Purpose: The quantification of cerebral blood flow (CBF), cerebral blood volume (CBV), and blood-brain barrier permeability in scattered lesions in the brain is a methodological challenge. We aimed to investigate the feasibility of a 3D T1-weighted dynamic contrast-enhanced (DCE) MRI acquisition in combination with a 2-compartment modeling approach for the quantification of CBF, CBV and permeability surface area product (PS) in lesions, and normal-appearing white matter (NAWM) in patients with multiple sclerosis (MS).Material and Methods: In all, 19 MS patients (mean age 35 years, 12 female) underwent DCE-MRI with a 3D T1-weighted spoiled gradient-echo sequence on a 3T MRI scanner. A total of 44 slices (thickness 3 mm) with an in-plane resolution of 1.7 x 1.7 mm(2) (matrix size 128 x 104), providing coverage of the whole brain, were acquired every 2.1 seconds over a total measurement time of 420 s. Data postprocessing was performed using a set of 2-compartment models with automated model selection; CBF, CBV, and PS as a measure of blood-brain barrier leakage were determined in contrast-enhancing (CE) and nonenhancing lesions as well as in NAWM.Results: Perfusion quantification produced reasonable values in lesions as well as in NAWM. In CE lesions, CBF (22.9 (22.7) vs. 15.8 (6.7) mL/100 mL/min), CBV (1.18 (0.48) vs. 0.76 (0.19) mL/100 mL), and PS (0.98 (0.46) vs. 0.04 (0.03) mL/100 mL/min) were significantly (P < 0.001) higher than in NAWM. In nonenhancing lesions, a weakly (P < 0.05) significantly increased CBV of 1.00 (0.35) mL/100 mL, compared with NAWM, was observed.Conclusion: Our study demonstrates the feasibility of 3D T1-weighted DCE-MRI for the quantitative assessment of CBF, CBV, and PS in NAWM as well as in multiple MS lesions scattered throughout the brain, even without previous knowledge of their location. Quantification on the region level produced reasonable values both in lesions and in NAWM, but parameter maps would benefit from an increase in contrast-to-noise ratio. The increased values of CBF, CBV, and PS in CE lesions may reflect inflammatory activity, the heterogeneity of parameter estimates suggests a potential for lesion characterization. NAWM appears hypoperfused, this is in accordance with previous studies, but requires validation with a control group.