Key result
Feature space analysis combined with multi-contrast MRI demonstrated excellent qualitative agreement with histological methods for quantifying carotid atherosclerotic plaque components ex-vivo.
Why the study?
Does combining multi-contrast MRI with Feature Space Analysis accurately quantify carotid atherosclerotic plaque components compared to histology in excised endarterectomy tissues?
Does combining multi-contrast MRI with Feature Space Analysis accurately quantify carotid atherosclerotic plaque components compared to histology in excised endarterectomy tissues?
Combining multi-contrast MRI with Feature Space Analysis is a feasible method for quantifying carotid atherosclerotic plaque components, showing excellent agreement with histology in an ex-vivo model.
Supports MRI-based plaque quantification in ex-vivo models; leaves open in-vivo human validation.
Atherosclerosis is one of the main causes of cardiovascular disease, accounting for more than one third of all deaths in the United States, there is a growing need to develop non-invasive techniques to assess the severity of atherosclerotic plaque burden. Recent research has suggested that not the size of the atherosclerotic plaque but rather its composition is indicative for plaque rupture as the underlying event of stroke and acute coronary syndrome. With its excellent soft-tissue contrast, magnetic resonance imaging (MRI) is a favored modality for examining plaque composition. In an ex-vivo study, aimed to show the feasibility of quantifying the components of carotid atherosclerotic plaques in-vivo, we acquired multi-contrast MRI images of 13 freshly excised endarterectomy tissues with commercially available MRI sequences and a human surface coil. Feature space analysis (FSA) was utilized in four representative tissues to determine the total relative abundance of calcific, lipidic, fibrotic, thrombotic and normal components as well as in consecutive 2 mm sections across the carotid bifurcation in each tissue. Excellent qualitative agreement between the FSA results and the results obtained from histological methods was observed. This study demonstrates the feasibility of combining MRI with FSA to quantify carotid atherosclerotic plaques in-vivo.
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Karmonik et al. (2006) studied Carotid atherosclerotic plaques (n=13). Feature space analysis (FSA) and multi-contrast MRI vs. Histological methods was evaluated on Agreement between FSA results and histological methods for plaque component quantification. Feature space analysis combined with multi-contrast MRI demonstrated excellent qualitative agreement with histological methods for quantifying carotid atherosclerotic plaque components ex-vivo.
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