Abstract

Background: Atheroma inflammation impairs plaque stability and promotes plaque progression and complications. However, it is unknown how measures of plaque biology relate to changes in plaque burden, and whether plaque biology can independently predict plaque progression in coronary-sized arteries. This study evaluated the ability of intravascular near-infrared fluorescence (NIRF) biological imaging to inform experimental atheroma progression in vivo. Methods: Atherosclerosis was induced by balloon-injury in the aorta of 14 cholesterol-fed rabbits. Serial intravascular ultrasound (IVUS) and dual-modality intravascular NIRF - optical coherence tomography (OCT) imaging was performed following injection of a NIRF molecular imaging agent of plaque inflammatory protease activity (ProSense VM110; n=7), or impaired plaque endothelial permeability (indocyanine green (ICG); n=7). Plaque progression was further assessed by IVUS change in plaque burden. Regression analysis was used to evaluate the association of NIRF with plaque progression. In vivo imaging results were corroborated by ex vivo fluorescence reflectance imaging, fluorescence microscopy, and histopathology. Results: Quantitative analysis of 1,811 axial images spanning individual plaques, the change in NIRF plaque biological signals from 8 to 12 weeks strongly correlated with IVUS plaque burden from 8 to 12 weeks (ProSense VM110: r=0.774; ICG: r=0.572; p<0.0001). This finding remained significant on multivariate analysis adjusted for IVUS plaque burden, lumen area, and remodeling index (p<0.001). In additional multivariate analyses, the baseline NIRF signal at 8 weeks further predicted the magnitude of plaque progression even after adjustment for baseline plaque burden (p<0.001 for Prosense VM110; p=0.004 for ICG). Histology demonstrated NIRF agent uptake in inflamed, lipid-rich plaques. Conclusion: Plaque pathobiology and plaque burden progress in concert as assessed by translatable intravascular NIRF imaging technology. The baseline NIRF inflammation and impaired plaque permeability signals independently predict plaque progression. Integrated biological-microstructural imaging may enhance the ability to detect high-risk plaques at risk of progression.

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