Abstract

Background: The study of plaque enhancement using high resolution vessel wall imaging can provide useful prognostic data. However, this analysis is hindered by plaque sampling and methodological constrains. We developed a new method to quantify plaque enhancement with 3D map analysis. Methods: Ultra-high resolution (7 Tesla) vessel wall imaging was performed on 41 patients with history of symptomatic atherosclerotic disease. Culprit and non-culprit plaques were analyzed. 3D reconstructions of culprit (N=41) and non-culprit plaques (N=14) was performed on T1 and T1+Gd images. Using an in-house code, orthogonal probes were extended from the lumen of the vessel into the arterial wall (Figure). In this way, the entire wall was sampled with multiple spokes. These values were then normalized to the corpus callosum (CC) to obtain a signal intensity ratio (SI ratio ). Dynamic contrast uptake was quantified as the change in mean SI of the plaque after contrast administration. Results: Forty one culprit and 14 non-culprit plaques (N=55) were analyzed. Culprit plaques enhanced with gadolinium (Gd) more significantly (SI plaque = 0.76 ± 0.28) than non-culprit plaques (SI plaque =0.58 ± 0.14) (p=0.05). In addition, culprit plaques displayed more contrast uptake (ΔSI plaque =0.33±0.25) than non-culprit plaques (ΔSI plaque =0.19 ± 0.08,p=0.01). Conclusion: 3D analysis of plaque enhancement with ultra-high resolution MRI is a promising technique that may be used as a biomarker of culprit intracranial atherosclerotic plaques. In addition, quantifying the dynamic plaque contrast uptake may provide more insight into the biology of these lesions.Figure. Magnified 7T coronal view of a basilar artery plaque pre (A) and post administration of Gd (B). 3D analysis of the dynamic uptake of Gd in T1 (C) and T1 + Gd (D). This plaque had a of 0.49 = highly enhancing.

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