Combined spatiotemporal and frequency-dependent shear wave elastography enables detection of vulnerable carotid plaques as validated by MRI.
Aged
Aged, 80 and over
Carotid Arteries
/ diagnostic imaging
Carotid Artery Diseases
/ diagnostic imaging
Elasticity Imaging Techniques
/ methods
Female
Humans
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Plaque, Atherosclerotic
/ diagnostic imaging
Spatio-Temporal Analysis
Ultrasonography
/ methods
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
15 01 2020
15 01 2020
Historique:
received:
14
08
2019
accepted:
25
12
2019
entrez:
17
1
2020
pubmed:
17
1
2020
medline:
18
11
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 31942025
doi: 10.1038/s41598-019-57317-7
pii: 10.1038/s41598-019-57317-7
pmc: PMC6962347
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
403Commentaires et corrections
Type : ErratumIn
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