Accurate determination of blood brain barrier permeability using dynamic contrast-enhanced T1-weighted MRI: a simulation and in vivo study on healthy subjects and multiple sclerosis patients

被引:90
作者
Cramer, Stig P. [1 ,2 ]
Larsson, Henrik B. W. [1 ,3 ]
机构
[1] Univ Copenhagen, Glostrup Hosp, Dept Diagnost, Funct Imaging Unit, DK-2800 Glostrup, Denmark
[2] Univ Copenhagen, Glostrup Hosp, Dept Neurol, DK-2800 Glostrup, Denmark
[3] Norwegian Univ Technol & Sci, Fac Med, Dept Circulat & Med Imaging, Trondheim, Norway
关键词
blood-brain barrier; cerebral hemodynamics; multiple sclerosis; MRI; perfusion-weighted MRI; T-1-WEIGHTED MRI; TRANSFER CONSTANTS; QUANTIFICATION; PERFUSION; VOLUME; PARAMETERS; LEAKAGE; TRACER; DTPA; FLOW;
D O I
10.1038/jcbfm.2014.126
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Dynamic contrast-enhanced magnetic resonance imaging-(DCE-MRI) is increasingly used to estimate permeability in situations with subtle blood-brain barrier (BBB) leakage. However, the method's ability to differentiate such low values from zero is unknown, and no consensus exists on optimal selection of total measurement duration, temporal resolution, and modeling approach under varying physiologic circumstances. To estimate accuracy and precision of the DCE-MRI method we generated simulated data using a two-compartment model and progressively down-sampled and truncated the data to mimic low temporal resolution and short total measurement duration. Model fit was performed with the Patlak, the extended lofts, and the Tikhonov two-compartment (Tik-2CM) models. Overall, 17 healthy controls were scanned to obtain in vivo data. Long total measurement duration (15 minutes) and high temporal resolution (1.25 seconds) greatly improved accuracy and precision for all three models, enabling us to differentiate values of permeability as low as 0.1 ml/100 g/min from zero. The Patlak model yielded highest accuracy and precision for permeability values <0.3 ml/100 g/min, but for higher values the Tik-2CM performed best. Our results emphasize the importance of optimal parameter setup and model selection when characterizing low BBB permeability.
引用
收藏
页码:1655 / 1665
页数:11
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