Literature DB >> 18777558

Dynamic changes in murine vessel geometry assessed by high-resolution magnetic resonance angiography: a 9.4T study.

Christoph Jacoby1, Yang Chul Böring, Andreas Beck, Alma Zernecke, Volker Aurich, Christian Weber, Jürgen Schrader, Ulrich Flögel.   

Abstract

PURPOSE: To establish high-resolution magnetic resonance angiography (MRA) protocols to monitor and quantify dynamic changes of vascular remodeling in pathologic mouse models.
MATERIALS AND METHODS: Time-of-flight (TOF) MRA of murine vessels was performed at 9.4T to monitor temporal alterations in the vessel structure in two frequently used injury models (wire denudation of carotid artery and femoral artery occlusion). Quantification of vessel morphology was performed with the use of in-house-developed software and validated by estimation of inter- and intraobserver variabilities and reproducibility, and by correlation with histological data.
RESULTS: MRA-based volume determination exhibited low intra- and interobserver variabilities and high reproducibility. Furthermore, good correlations with histological data were found four weeks after injury (R2=0.970). Two high-resolution image series are presented to demonstrate the applicability of the technique: 1) the time course of a vessel stenosis that reopens by thrombus recanalization, and 2) the continuous restoration of blood flow by collateral vessel formation during arteriogenesis after induction of hindlimb ischemia.
CONCLUSION: We describe high-resolution MRA imaging protocols that are suitable for sensitively measuring the extent and time course of changes in vessel morphology in mice in a repetitive manner without any contrast agent. This methodology provides a reliable tool for noninvasive monitoring of vascular lesion development or neovascularization in transgenic mice. Copyright (c) 2008 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2008        PMID: 18777558     DOI: 10.1002/jmri.21482

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  9 in total

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  9 in total

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