Carotid Wall Longitudinal Motion in Ultrasound Imaging: An Expert Consensus Review.

Arteriosclerosis Atherosclerosis Block matching Cardiovascular risk factors Carotid artery Longitudinal motion Motion estimation Speckle tracking Ultrasound Vascular health

Journal

Ultrasound in medicine & biology
ISSN: 1879-291X
Titre abrégé: Ultrasound Med Biol
Pays: England
ID NLM: 0410553

Informations de publication

Date de publication:
10 2020
Historique:
received: 10 12 2019
revised: 01 06 2020
accepted: 07 06 2020
pubmed: 28 7 2020
medline: 27 8 2021
entrez: 26 7 2020
Statut: ppublish

Résumé

Motion extracted from the carotid artery wall provides unique information for vascular health evaluation. Carotid artery longitudinal wall motion corresponds to the multiphasic arterial wall excursion in the direction parallel to blood flow during the cardiac cycle. While this motion phenomenon has been well characterized, there is a general lack of awareness regarding its implications for vascular health assessment or even basic vascular physiology. In the last decade, novel estimation strategies and clinical investigations have greatly advanced our understanding of the bi-axial behavior of the carotid artery, necessitating an up-to-date review to summarize and classify the published literature in collaboration with technical and clinical experts in the field. Within this review, the state-of-the-art methodologies for carotid wall motion estimation are described, and the observed relationships between longitudinal motion-derived indices and vascular health are reported. The vast number of studies describing the longitudinal motion pattern in plaque-free arteries, with its putative application to cardiovascular disease prediction, point to the need for characterizing the added value and applicability of longitudinal motion beyond established biomarkers. To this aim, the main purpose of this review was to provide a strong base of theoretical knowledge, together with a curated set of practical guidelines and recommendations for longitudinal motion estimation in patients, to foster future discoveries in the field, toward the integration of longitudinal motion in basic science as well as clinical practice.

Identifiants

pubmed: 32709520
pii: S0301-5629(20)30259-3
doi: 10.1016/j.ultrasmedbio.2020.06.006
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2605-2624

Informations de copyright

Copyright © 2020 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Auteurs

Fereshteh Yousefi Rizi (FY)

School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran. Electronic address: f.yousefirizi@ut.ac.ir.

Jason Au (J)

Schlegel Research Institute for Aging, University of Waterloo, Waterloo, Ontario, Canada.

Heikki Yli-Ollila (H)

Department of Radiology, Kanta-Häme Central Hospital, Hämeenlinna, Finland; Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland.

Spyretta Golemati (S)

Medical School, National and Kapodistrian University of Athens, Athens, Greece.

Monika Makūnaitė (M)

Biomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.

Maciej Orkisz (M)

Univ Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621 Villeurbanne cedex, France.

Nassir Navab (N)

Computer Aided Medical Procedures, Technische Universität München, Garching bei München, Germany; Computer Aided Medical Procedures, Johns Hopkins University, Baltimore, Maryland, USA.

Maureen MacDonald (M)

Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada.

Tiina Marja Laitinen (TM)

Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland.

Hamid Behnam (H)

Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran.

Zhifan Gao (Z)

School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China.

Aimilia Gastounioti (A)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Rytis Jurkonis (R)

Biomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.

Didier Vray (D)

Univ Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621 Villeurbanne cedex, France.

Tomi Laitinen (T)

Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland.

André Sérusclat (A)

Department of Radiology, Louis Pradel Hospital; Hospices Civils de Lyon; Université Lyon 1, Lyon, France.

Konstantina S Nikita (KS)

Biomedical Simulations and Imaging Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.

Guillaume Zahnd (G)

Computer Aided Medical Procedures, Technische Universität München, Garching bei München, Germany.

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