A review of technical aspects of T1-weighted dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in human brain tumors

被引:56
|
作者
Bergamino, M. [1 ,2 ]
Bonzano, L. [1 ,2 ]
Levrero, F. [4 ]
Mancardi, G. L. [1 ,2 ]
Roccatagliata, L. [2 ,3 ]
机构
[1] Univ Genoa, Dept Neurosci Rehabil Ophthalmol Genet Maternal &, Genoa, Italy
[2] Univ Genoa, Magnet Resonance Res Ctr Nervous Syst Dis, Genoa, Italy
[3] Univ Genoa, Dept Hlth Sci, Genoa, Italy
[4] San Martino Hosp, Dept Med Phys, Genoa, Italy
来源
关键词
T-1-weighted dynamic contrast-enhanced-MRI; Magnetic resonance imaging; Permeability; Blood-brain barrier; TISSUE HOMOGENEITY MODEL; VASCULAR INPUT FUNCTION; CEREBRAL BLOOD-VOLUME; MICROVASCULAR PERMEABILITY; PHARMACOKINETIC PARAMETERS; PERFUSION PARAMETERS; BARRIER PERMEABILITY; TEMPORAL RESOLUTION; MULTIPLE-SCLEROSIS; QUALITY-ASSURANCE;
D O I
10.1016/j.ejmp.2014.04.005
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
In the last few years, several imaging methods, such as magnetic resonance imaging (MRI) and computed tomography, have been used to investigate the degree of blood-brain barrier (BBB) permeability in patients with neurological diseases including multiple sclerosis, ischemic stroke, and brain tumors. One promising MRI method for assessing the BBB permeability of patients with neurological diseases in vivo is T-1-weighted dynamic contrast-enhanced (DCE)-MRI. Here we review the technical issues involved in DCE-MRI in the study of human brain tumors. In the first part of this paper, theoretical models for the DCE-MRI analysis will be described, including the Toft-Kety models, the adiabatic approximation to the tissue homogeneity model and the two-compartment exchange model. These models can be used to estimate important kinetic parameters related to BBB permeability. In the second part of this paper, details of the data acquisition, issues related to the arterial input function, and procedures for DCE-MRI image analysis are illustrated. (C) 2014 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:635 / 643
页数:9
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