Why the study?
Rupture-prone carotid plaques are distinguished by internal composition rather than luminal narrowing, so conventional imaging may fail to identify culprit lesions.
Does ultrasound shear wave elastography detect vulnerable carotid plaques as validated by MRI in patients with carotid plaques?
Does ultrasound shear wave elastography detect vulnerable carotid plaques as validated by MRI in patients with carotid plaques?
Ultrasound shear wave elastography represents a promising non-invasive approach for detecting vulnerable carotid plaques, providing complementary information on plaque characteristics validated by MRI.
SWE may detect rupture-prone carotid plaques missed by lumen-based imaging; leaves open its value for clinical risk stratification.
Fatal cerebrovascular events are often caused by rupture of atherosclerotic plaques. However, rupture-prone plaques are often distinguished by their internal composition rather than degree of luminal narrowing, and conventional imaging techniques might thus fail to detect such culprit lesions. In this feasibility study, we investigate the potential of ultrasound shear wave elastography (SWE) to detect vulnerable carotid plaques, evaluating group velocity and frequency-dependent phase velocities as novel biomarkers for plaque vulnerability. In total, 27 carotid plaques from 20 patients were scanned by ultrasound SWE and magnetic resonance imaging (MRI). SWE output was quantified as group velocity and frequency-dependent phase velocities, respectively, with results correlated to intraplaque constituents identified by MRI. Overall, vulnerable lesions graded as American Heart Association (AHA) type VI showed significantly higher group and phase velocity compared to any other AHA type. A selection of correlations with intraplaque components could also be identified with group and phase velocity (lipid-rich necrotic core content, fibrous cap structure, intraplaque hemorrhage), complementing the clinical lesion classification. In conclusion, we demonstrate the ability to detect vulnerable carotid plaques using combined SWE, with group velocity and frequency-dependent phase velocity providing potentially complementary information on plaque characteristics. With such, the method represents a promising non-invasive approach for refined atherosclerotic risk prediction.
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Marlevi et al. (2020) studied this question.
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