Literature DB >> 30442386

Pulse Wave Imaging in Carotid Artery Stenosis Human Patients in Vivo.

Ronny X Li1, Iason Z Apostolakis1, Paul Kemper1, Matthew D J McGarry1, Ada Ip1, Edward S Connolly2, James F McKinsey3, Elisa E Konofagou4.   

Abstract

Carotid stenosis involves narrowing of the lumen in the carotid artery potentially leading to a stroke, which is the third leading cause of death in the United States. Several recent investigations have found that plaque structure and composition may represent a more direct biomarker of plaque rupture risk compared with the degree of stenosis. In this study, pulse wave imaging was applied in 111 (n = 11, N = 13 plaques) patients diagnosed with moderate (>50%) to severe (>80%) carotid artery stenosis to investigate the feasibility of characterizing plaque properties based on the pulse wave-induced arterial wall dynamics captured by pulse wave imaging. Five (n = 5 patients, N = 20 measurements) healthy volunteers were also imaged as a control group. Both conventional and high-frame-rate plane wave radiofrequency imaging sequences were used to generate piecewise maps of the pulse wave velocity (PWV) at a single depth along stenotic carotid segments, as well as intra-plaque PWV mapping at multiple depths. Intra-plaque cumulative displacement and strain maps were also calculated for each plaque region. The Bramwell-Hill equation was used to estimate the compliance of the plaque regions based on the PWV and diameter. Qualitatively, wave convergence, elevated PWV and decreased cumulative displacement around and/or within regions of atherosclerotic plaque were observed and may serve as biomarkers for plaque characterization. Intra-plaque mapping revealed the potential to capture wave reflections between calcified inclusions and differentiate stable (i.e., calcified) from vulnerable (i.e., lipid) plaque components based on the intra-plaque PWV and cumulative strain. Quantitatively, one-way analysis of variance indicated that the pulse wave-induced cumulative strain was significantly lower (p < 0.01) in the moderately and severely calcified plaques compared with the normal controls. As expected, compliance was also significantly lower in the severely calcified plaques regions compared with the normal controls (p < 0.01). The results from this pilot study indicated the potential of pulse wave imaging coupled with strain imaging to differentiate plaques of varying stiffness, location and composition. Such findings may serve as valuable information to compensate for the limitations of currently used methods for the assessment of stroke risk.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Arterial compliance; Arterial wall elasticity maps; Arterial wall motion; Atherosclerosis; Calcified plaque; High-frame-rate ultrasound; Pulse wave imaging; Pulse wave velocity

Mesh:

Year:  2018        PMID: 30442386      PMCID: PMC6375685          DOI: 10.1016/j.ultrasmedbio.2018.07.013

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  69 in total

1.  Atherosclerotic plaque at the carotid bifurcation: CT angiographic appearance with histopathologic correlation.

Authors:  T B Oliver; G A Lammie; A R Wright; J Wardlaw; S G Patel; R Peek; C V Ruckley; D A Collie
Journal:  AJNR Am J Neuroradiol       Date:  1999-05       Impact factor: 3.825

2.  Theoretical quality assessment of myocardial elastography with in vivo validation.

Authors:  Wei-Ning Lee; Christopher M Ingrassia; Simon D Fung-Kee-Fung; Kevin D Costa; Jeffrey W Holmes; Elisa E Konofagou
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2007-11       Impact factor: 2.725

3.  Effects of parameters on the accuracy and precision of ultrasound-based local pulse wave velocity measurement: a simulation study.

Authors:  Chengwu Huang; Tian-Ling Ren; Jianwen Luo
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2014-12       Impact factor: 2.725

4.  Characterisation of carotid plaques with ultrasound elastography: feasibility and correlation with high-resolution magnetic resonance imaging.

Authors:  Cyrille Naim; Guy Cloutier; Elizabeth Mercure; François Destrempes; Zhao Qin; Walid El-Abyad; Sylvain Lanthier; Marie-France Giroux; Gilles Soulez
Journal:  Eur Radiol       Date:  2013-02-17       Impact factor: 5.315

5.  Carotid atherosclerotic plaque characterisation by measurement of ultrasound sound speed in vitro at high frequency, 20 MHz.

Authors:  M P Brewin; P D Srodon; S E Greenwald; M J Birch
Journal:  Ultrasonics       Date:  2013-04-27       Impact factor: 2.890

Review 6.  Clinical considerations in the management of asymptomatic carotid artery stenosis.

Authors:  Philipp Taussky; Ricardo A Hanel; Fredric B Meyer
Journal:  Neurosurg Focus       Date:  2011-12       Impact factor: 4.047

7.  Noninvasive detection of lipids in atherosclerotic plaque using ultrasound thermal strain imaging: in vivo animal study.

Authors:  Ahmed M Mahmoud; Debaditya Dutta; Linda Lavery; Douglas N Stephens; Flordeliza S Villanueva; Kang Kim
Journal:  J Am Coll Cardiol       Date:  2013-07-31       Impact factor: 24.094

8.  Performance assessment of Pulse Wave Imaging using conventional ultrasound in canine aortas ex vivo and normal human arteries in vivo.

Authors:  Ronny X Li; William Qaqish; Elisa E Konofagou
Journal:  Artery Res       Date:  2015-07-22       Impact factor: 0.597

9.  In vivo repeatability of the pulse wave inverse problem in human carotid arteries.

Authors:  Matthew McGarry; Pierre Nauleau; Iason Apostolakis; Elisa Konofagou
Journal:  J Biomech       Date:  2017-09-27       Impact factor: 2.712

10.  Major variation in carotid bifurcation anatomy: a possible risk factor for plaque development?

Authors:  U G Schulz; P M Rothwell
Journal:  Stroke       Date:  2001-11       Impact factor: 7.914

View more
  7 in total

1.  Delineation of Human Carotid Plaque Features In Vivo by Exploiting Displacement Variance.

Authors:  Gabriela Torres; Tomasz J Czernuszewicz; Jonathon W Homeister; Melissa C Caughey; Benjamin Y Huang; Ellie R Lee; Carlos A Zamora; Mark A Farber; William A Marston; David Y Huang; Timothy C Nichols; Caterina M Gallippi
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-02-11       Impact factor: 2.725

2.  Arterial wall mechanical inhomogeneity detection and atherosclerotic plaque characterization using high frame rate pulse wave imaging in carotid artery disease patients in vivo.

Authors:  Grigorios M Karageorgos; Iason Z Apostolakis; Pierre Nauleau; Vittorio Gatti; Rachel Weber; E Sander Connolly; Eliza C Miller; Elisa E Konofagou
Journal:  Phys Med Biol       Date:  2020-01-17       Impact factor: 3.609

3.  In vivo carotid strain imaging using principal strains in longitudinal view.

Authors:  N H Meshram; C C Mitchell; S M Wilbrand; R J Dempsey; T Varghese
Journal:  Biomed Phys Eng Express       Date:  2019-04-17

4.  Adaptive Pulse Wave Imaging: Automated Spatial Vessel Wall Inhomogeneity Detection in Phantoms and in-Vivo.

Authors:  Iason Z Apostolakis; Grigorios M Karageorgos; Pierre Nauleau; Sacha D Nandlall; Elisa E Konofagou
Journal:  IEEE Trans Med Imaging       Date:  2019-07-01       Impact factor: 10.048

5.  Feasibility of longitudinal monitoring of atherosclerosis with pulse wave imaging in a swine model.

Authors:  Paul Kemper; Pierre Nauleau; Grigorios Karageorgos; Rachel Weber; Nancy Kwon; Matthias Szabolcs; Elisa Konofagou
Journal:  Physiol Meas       Date:  2021-12-28       Impact factor: 2.833

6.  Feasibility of Bilinear Mechanical Characterization of the Abdominal Aorta in a Hypertensive Mouse Model.

Authors:  Paul P N Kemper; Salah Mahmoudi; Iason Zacharias Apostolakis; Elisa E Konofagou
Journal:  Ultrasound Med Biol       Date:  2021-09-07       Impact factor: 2.998

7.  Noninvasive Aortic Ultrafast Pulse Wave Velocity Associated With Framingham Risk Model: in vivo Feasibility Study.

Authors:  Jinbum Kang; Kanghee Han; Jihyun Hyung; Geu-Ru Hong; Yangmo Yoo
Journal:  Front Cardiovasc Med       Date:  2022-01-31
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.