Magnetic resonance characterization of tumor microvessels in experimental breast tumors using a slow clearance blood pool contrast agent (carboxymethyldextran-A2-Gd-DOTA) with histopathological correlation

被引:17
作者
Preda, A
Novikov, V
Müglich, M
Floyd, E
Turetschek, K
Shames, DM
Roberts, TPL
Corot, C
Carter, WO
Brasch, RC
机构
[1] Univ Calif San Francisco, Dept Radiol, Ctr Pharmaceut & Mol Imaging, San Francisco, CA 94143 USA
[2] Erasmus Univ, Med Ctr, Dept Radiol, Rotterdam, Netherlands
[3] Pfizer Inc, Pfizer Cent Res, Groton, CT 06340 USA
[4] Guerbet Labs, Aulnay Sous Bois, France
关键词
magnetic resonance imaging; contrast media; carboxymethyldextran-A2-Gd-DOTA; breast neoplasms; dynamic contrast enhancement;
D O I
10.1007/s00330-005-2823-9
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
Carboxymethyldextran (CMD)-A2-Gd-DOTA, a slow clearance blood pool contrast agent with a molecular weight of 52.1 kDa, designed to have intravascular residence for more than 1 h, was evaluated for its potential to characterize and differentiate the microvessels of malignant and benign breast tumors. Precontrast single-slice inversion-recovery snapshot FLASH and dynamic contrast-enhanced MRI using an axial T1-weighted three-dimensional spoiled gradient recalled sequence was performed in 30 Sprague-Dawley rats with chemically induced breast tumors. Endothelial transfer coefficient and fractional plasma volume of the breast tumors were estimated from MRI data acquired with CMD-A2-Gd-DOTA enhancement injected at a dose of 0.1 mmol Gd/kg body weight using a two-compartment bidirectional model of the tumor tissue. The correlation between MRI microvessel characteristics and histopathological tumor grade was determined using the Scarff-Bloom-Richardson method. Using CMD-A2-Gd-DOTA, no significant correlations were found between the MR-estimated endothelial transfer coefficient or plasma volumes with histological tumor grade. Analysis of CMD-A2-Gd-DOTA-enhanced MR kinetic data failed to demonstrate feasibility for the differentiation of benign from malignant tumors or for image-based tumor grading.
引用
收藏
页码:2268 / 2275
页数:8
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