Literature DB >> 20027578

Early identification of aortic valve sclerosis using iron oxide enhanced MRI.

Amanda M Hamilton1, Kem A Rogers, Andre J L Belisle, John A Ronald, Brian K Rutt, Ralph Weissleder, Derek R Boughner.   

Abstract

PURPOSE: To test the ability of MION-47 enhanced MRI to identify tissue macrophage infiltration in a rabbit model of aortic valve sclerosis (AVS).
MATERIALS AND METHODS: The aortic valves of control and cholesterol-fed New Zealand White rabbits were imaged in vivo pre- and 48 h post-intravenous administration of MION-47 using a 1.5 Tesla (T) MR clinical scanner and a CINE fSPGR sequence. MION-47 aortic valve cusps were imaged ex vivo on a 3.0T whole-body MR system with a custom gradient insert coil and a three-dimensional (3D) FIESTA sequence and compared with aortic valve cusps from control and cholesterol-fed contrast-free rabbits. Histopathological analysis was performed to determine the site of iron oxide uptake.
RESULTS: MION-47 enhanced the visibility of both control and cholesterol-fed rabbit valves in in vivo images. Ex vivo image analysis confirmed the presence of significant signal voids in contrast-administered aortic valves. Signal voids were not observed in contrast-free valve cusps. In MION-47 administered rabbits, histopathological analysis revealed iron staining not only in fibrosal macrophages of cholesterol-fed valves but also in myofibroblasts from control and cholesterol-fed valves.
CONCLUSION: Although iron oxide labeling of macrophage infiltration in AVS has the potential to detect the disease process early, a macrophage-specific iron compound rather than passive targeting may be required. (c) 2009 Wiley-Liss, Inc.

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Year:  2010        PMID: 20027578      PMCID: PMC5638659          DOI: 10.1002/jmri.22008

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


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9.  The in vivo diagnosis of early-stage aortic valve sclerosis using magnetic resonance imaging in a rabbit model.

Authors:  Amanda M Hamilton; Kem A Rogers; Maria Drangova; Zamir Khan; John A Ronald; Brian K Rutt; Kyle A Maclean; James C Lacefield; Derek R Boughner
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10.  Localization to atherosclerotic plaque and biodistribution of biochemically derivatized superparamagnetic iron oxide nanoparticles (SPIONs) contrast particles for magnetic resonance imaging (MRI).

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