Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications.


Journal

The Lancet. Neurology
ISSN: 1474-4465
Titre abrégé: Lancet Neurol
Pays: England
ID NLM: 101139309

Informations de publication

Date de publication:
06 2019
Historique:
received: 23 05 2018
revised: 03 01 2019
accepted: 04 01 2019
pubmed: 8 4 2019
medline: 17 6 2020
entrez: 8 4 2019
Statut: ppublish

Résumé

Stroke represents a massive public health problem. Carotid atherosclerosis plays a fundamental part in the occurence of ischaemic stroke. European and US guidelines for prevention of stroke in patients with carotid plaques are based on quantification of the percentage reduction in luminal diameter due to the atherosclerotic process to select the best therapeutic approach. However, better strategies for prevention of stroke are needed because some subtypes of carotid plaques (eg, vulnerable plaques) can predict the occurrence of stroke independent of the degree of stenosis. Advances in imaging techniques have enabled routine characterisation and detection of the features of carotid plaque vulnerability. Intraplaque haemorrhage is accepted by neurologists and radiologists as one of the features of vulnerable plaques, but other characteristics-eg, plaque volume, neovascularisation, and inflammation-are promising as biomarkers of carotid plaque vulnerability. These biomarkers could change current management strategies based merely on the degree of stenosis.

Identifiants

pubmed: 30954372
pii: S1474-4422(19)30035-3
doi: 10.1016/S1474-4422(19)30035-3
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

559-572

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Luca Saba (L)

Department of Medical Sciences, University of Cagliari, Cagliari, Italy. Electronic address: lucasaba@tiscali.it.

Tobias Saam (T)

Department of Radiology, University Hospital Munich, Ludwig-Maximilians-University Munich, Munich, Germany; Radiologisches Zentrum Rosenheim, Rosenheim, Germany.

H Rolf Jäger (HR)

Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, London, UK.

Chun Yuan (C)

Department of Radiology, University of Washington, Seattle, WA, USA.

Thomas S Hatsukami (TS)

Department of Surgery, University of Washington, Seattle, WA, USA.

David Saloner (D)

Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.

Bruce A Wasserman (BA)

The Russell H Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD, USA.

Leo H Bonati (LH)

Department of Neurology and Stroke Center, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland.

Max Wintermark (M)

Department of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA.

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Classifications MeSH