Literature DB >> 23349231

Dual-energy computed tomography imaging of atherosclerotic plaques in a mouse model using a liposomal-iodine nanoparticle contrast agent.

Rohan Bhavane1, Cristian Badea, Ketan B Ghaghada, Darin Clark, Deborah Vela, Anoosha Moturu, Akshaya Annapragada, G Allan Johnson, James T Willerson, Ananth Annapragada.   

Abstract

BACKGROUND: The accumulation of macrophages in inflamed atherosclerotic plaques has long been recognized. In an attempt to develop an imaging agent for detection of vulnerable plaques, we evaluated the feasibility of a liposomal-iodine nanoparticle contrast agent for computed tomography imaging of macrophage-rich atherosclerotic plaques in a mouse model. METHODS AND
RESULTS: Liposomal-iodine formulations varying in particle size and polyethylene glycol coating were fabricated and shown to stably encapsulate the iodine compound. In vitro uptake studies using optical and computed tomography imaging in the RAW 264.7 macrophage cell line identified the formulation that promoted maximal uptake. Dual-energy computed tomography imaging using this formulation in apolipoprotein E-deficient (ApoE(-/-)) mice (n=8) and control C57BL/6 mice (n=6) followed by spectral decomposition of the dual-energy images enabled imaging of the liposomes localized in the plaque. Imaging cytometry confirmed the presence of liposomes in the plaque and their colocalization with a small fraction (≈2%) of the macrophages in the plaque.
CONCLUSIONS: The results demonstrate the feasibility of imaging macrophage-rich atherosclerotic plaques using a liposomal-iodine nanoparticle contrast agent and dual-energy computed tomography.

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Year:  2013        PMID: 23349231      PMCID: PMC3760185          DOI: 10.1161/CIRCIMAGING.112.000119

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  43 in total

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Review 8.  Quantitative imaging biomarkers: a review of statistical methods for technical performance assessment.

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Review 9.  Current and Emerging Preclinical Approaches for Imaging-Based Characterization of Atherosclerosis.

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