4.4 Article

Association between carotid plaque composition assessed by multidetector computed tomography and cerebral embolism after carotid stenting

Journal

NEURORADIOLOGY
Volume 54, Issue 5, Pages 487-493

Publisher

SPRINGER
DOI: 10.1007/s00234-011-0920-9

Keywords

Carotid plaque; Carotid stenting; Diffusion-weighted imaging; Distal embolism; Multidetector computed tomography

Funding

  1. Grants-in-Aid for Scientific Research [24791490, 21591548] Funding Source: KAKEN

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We aimed to assess the relationship between atherosclerotic carotid plaque composition analyzed using multidetector computed tomography (MDCT) and the appearance of new ischemic lesions detected by diffusion-weighted images (DWI) after carotid artery stenting (CAS). We quantitatively and qualitatively analyzed plaque characteristics in carotid arteries using MDCT before CAS in 19 patients. Carotid plaques were expediently subdivided into four components with Hounsfield unit (HU) values of < 0, 0-60, 60-130, and > 600. The incidence of distal embolism was evaluated with DWI. Pearson's correlation analyses were used to assess the association between plaque composition and the incidence of cerebral embolization. Fifteen patients (79%) demonstrated new DWI lesions after CAS. High-signal DWIs were noted as follows: one in six patients, 2 similar to 5 in five patients, 6 similar to 10 in two patients, and > 10 in two patients. The mean volumes of the plaque components for HU < 0, 0-60, 60-130, and > 600 were 5.4, 200, 260, and 59 mm(3), respectively. There was a strong correlation between the number of high-signal DWI lesions in the ipsilateral side and the plaque volume of HU < 0 (r = 0.927; P < 0.0001). There was a moderate correlation between the number of high-signal DWI lesions and the plaque volume of HU 0-60 (r = 0.568; P = 0.0099) and the sum total of HU < 0 and HU 0-60 (r = 0.609; P = 0.0047). Quantitative and qualitative tissue characterization of carotid plaques using MDCT might be a useful predictor for silent ischemic lesions after CAS.

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