Advances in Noninvasive Carotid Wall Imaging with Ultrasound: A Narrative Review.

atherosclerosis carotid contrast-enhanced ultrasound stroke ultrasound

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
20 Oct 2022
Historique:
received: 22 09 2022
accepted: 12 10 2022
entrez: 27 10 2022
pubmed: 28 10 2022
medline: 28 10 2022
Statut: epublish

Résumé

Carotid atherosclerosis is a major cause for stroke, with significant associated disease burden morbidity and mortality in Western societies. Diagnosis, grading and follow-up of carotid atherosclerotic disease relies on imaging, specifically ultrasound (US) as the initial modality of choice. Traditionally, the degree of carotid lumen stenosis was considered the sole risk factor to predict brain ischemia. However, modern research has shown that a variety of other imaging biomarkers, such as plaque echogenicity, surface morphology, intraplaque neovascularization and vasa vasorum contribute to the risk for rupture of carotid atheromas with subsequent cerebrovascular events. Furthermore, the majority of embolic strokes of undetermined origin are probably arteriogenic and are associated with nonstenosing atheromas. Therefore, a state-of-the-art US scan of the carotid arteries should take advantage of recent technical developments and should provide detailed information about potential thrombogenic (/) and emboligenic arterial wall features. This manuscript reviews recent advances in ultrasonographic assessment of vulnerable carotid atherosclerotic plaques and highlights the fields of future development in multiparametric arterial wall imaging, in an attempt to convey the most important take-home messages for clinicians performing carotid ultrasound.

Identifiants

pubmed: 36294515
pii: jcm11206196
doi: 10.3390/jcm11206196
pmc: PMC9604731
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Maria Alexandratou (M)

Department of Clinical Radiology, AHEPA University Hospital of Thessaloniki, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Angeliki Papachristodoulou (A)

Department of Clinical Radiology, AHEPA University Hospital of Thessaloniki, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Xin Li (X)

Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.

Sasan Partovi (S)

Section of Interventional Radiology, Imaging Institute, Cleveland Clinic Main Campus, 9500 Euclid Avenue, Cleveland, OH 44195, USA.

Andjoli Davidhi (A)

Department of Clinical Radiology, AHEPA University Hospital of Thessaloniki, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Vasileios Rafailidis (V)

Department of Clinical Radiology, AHEPA University Hospital of Thessaloniki, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Panos Prassopoulos (P)

Department of Clinical Radiology, AHEPA University Hospital of Thessaloniki, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Vasileios Kamperidis (V)

1st Cardiology Department, School of Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.

Ioanna Koutroulou (I)

2nd Department of Neurology, School of Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.

Georgios Tsivgoulis (G)

Second Department of Neurology, School of Medicine, 'Attikon' University Hospital, National and Kapodistrian University of Athens, 157 72 Athens, Greece.

Nikolaos Grigoriadis (N)

2nd Department of Neurology, School of Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.

Christos Krogias (C)

Department of Neurology, St. Josef-Hospital Bochum, Ruhr University Bochum, 44801 Bochum, Germany.

Theodore Karapanayiotides (T)

2nd Department of Neurology, School of Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.

Classifications MeSH