Literature DB >> 28594333

Quantification of carotid artery plaque stability with multiple region of interest based ultrasound strain indices and relationship with cognition.

N H Meshram1, T Varghese, C C Mitchell, D C Jackson, S M Wilbrand, B P Hermann, R J Dempsey.   

Abstract

Vulnerability and instability in carotid artery plaque has been assessed based on strain variations using noninvasive ultrasound imaging. We previously demonstrated that carotid plaques with higher strain indices in a region of interest (ROI) correlated to patients with lower cognition, probably due to cerebrovascular emboli arising from these unstable plaques. This work attempts to characterize the strain distribution throughout the entire plaque region instead of being restricted to a single localized ROI. Multiple ROIs are selected within the entire plaque region, based on thresholds determined by the maximum and average strains in the entire plaque, enabling generation of additional relevant strain indices. Ultrasound strain imaging of carotid plaques, was performed on 60 human patients using an 18L6 transducer coupled to a Siemens Acuson S2000 system to acquire radiofrequency data over several cardiac cycles. Patients also underwent a battery of neuropsychological tests under a protocol based on National Institute of Neurological Disorders and Stroke and Canadian Stroke Network guidelines. Correlation of strain indices with composite cognitive index of executive function revealed a negative association relating high strain to poor cognition. Patients grouped into high and low cognition groups were then classified using these additional strain indices. One of our newer indices, namely the average L  -  1 norm with plaque (AL1NWP) presented with significantly improved correlation with executive function when compared to our previously reported maximum accumulated strain indices. An optimal combination of three of the new indices generated classifiers of patient cognition with an area under the curve (AUC) of 0.880, 0.921 and 0.905 for all (n  =  60), symptomatic (n  =  33) and asymptomatic patients (n  =  27) whereas classifiers using maximum accumulated strain indices alone provided AUC values of 0.817, 0.815 and 0.813 respectively.

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Year:  2017        PMID: 28594333      PMCID: PMC5580244          DOI: 10.1088/1361-6560/aa781f

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  41 in total

1.  Simultaneous imaging of artery-wall strain and blood flow by high frame rate acquisition of RF signals.

Authors:  Hideyuki Hasegawa; Hiroshi Kanai
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2008-12       Impact factor: 2.725

2.  New quantification methods for carotid intra-plaque neovascularization using contrast-enhanced ultrasound.

Authors:  Zeynettin Akkus; Assaf Hoogi; Guillaume Renaud; Stijn C H van den Oord; Gerrit L Ten Kate; Arend F L Schinkel; Dan Adam; Nico de Jong; Antonius F W van der Steen; Johan G Bosch
Journal:  Ultrasound Med Biol       Date:  2013-10-22       Impact factor: 2.998

3.  Correlation of cognitive function with ultrasound strain indices in carotid plaque.

Authors:  Xiao Wang; Daren C Jackson; Tomy Varghese; Carol C Mitchell; Bruce P Hermann; Mark A Kliewer; Robert J Dempsey
Journal:  Ultrasound Med Biol       Date:  2013-10-11       Impact factor: 2.998

4.  Shear Wave Elastography Quantifies Stiffness in Ex Vivo Porcine Artery with Stiffened Arterial Region.

Authors:  Erik Widman; Elira Maksuti; Carolina Amador; Matthew W Urban; Kenneth Caidahl; Matilda Larsson
Journal:  Ultrasound Med Biol       Date:  2016-07-15       Impact factor: 2.998

5.  Ultrafast vascular strain compounding using plane wave transmission.

Authors:  H H G Hansen; A E C M Saris; N R Vaka; M M Nillesen; C L de Korte
Journal:  J Biomech       Date:  2014-01-13       Impact factor: 2.712

Review 6.  Hemodynamics and atherosclerosis. Insights and perspectives gained from studies of human arteries.

Authors:  S Glagov; C Zarins; D P Giddens; D N Ku
Journal:  Arch Pathol Lab Med       Date:  1988-10       Impact factor: 5.534

7.  Quasi-Static Ultrasound Elastography.

Authors:  Tomy Varghese
Journal:  Ultrasound Clin       Date:  2009-07

8.  Flexible integration of high-imaging-resolution and high-power arrays for ultrasound-induced thermal strain imaging (US-TSI).

Authors:  Douglas N Stephens; Ahmed M Mahmoud; Xuan Ding; Steven Lucero; Debaditya Dutta; Francois T H Yu; Xucai Chen; Kang Kim
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2013-12       Impact factor: 2.725

9.  Ultrasound-Based Carotid Elastography for Detection of Vulnerable Atherosclerotic Plaques Validated by Magnetic Resonance Imaging.

Authors:  Chengwu Huang; Xiaochang Pan; Qiong He; Manwei Huang; Lingyun Huang; Xihai Zhao; Chun Yuan; Jing Bai; Jianwen Luo
Journal:  Ultrasound Med Biol       Date:  2015-11-06       Impact factor: 2.998

10.  Correlation of carotid plaque neovascularization detected by using contrast-enhanced US with clinical symptoms.

Authors:  Li Xiong; You-Bin Deng; Ying Zhu; Ya-Ni Liu; Xiao-Jun Bi
Journal:  Radiology       Date:  2009-03-20       Impact factor: 11.105

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  10 in total

1.  A Cross-Sectional Investigation of Cognition and Ultrasound-Based Vascular Strain Indices.

Authors:  N H Meshram; D Jackson; T Varghese; C C Mitchell; S M Wilbrand; R J Dempsey; B P Hermann
Journal:  Arch Clin Neuropsychol       Date:  2019-01-24       Impact factor: 2.813

2.  Deep Learning for Carotid Plaque Segmentation using a Dilated U-Net Architecture.

Authors:  Nirvedh H Meshram; Carol C Mitchell; Stephanie Wilbrand; Robert J Dempsey; Tomy Varghese
Journal:  Ultrason Imaging       Date:  2020 Jul-Sep       Impact factor: 1.578

3.  Hierarchical Motion Estimation With Bayesian Regularization in Cardiac Elastography: Simulation and In Vivo Validation.

Authors:  Rashid Al Mukaddim; Nirvedh H Meshram; Carol C Mitchell; Tomy Varghese
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-07-12       Impact factor: 2.725

4.  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

5.  Attenuation Coefficient Parameter Computations for Tissue Composition Assessment of Carotid Atherosclerotic Plaque in Vivo.

Authors:  Catherine N Steffel; Shahriar Salamat; Thomas D Cook; Stephanie M Wilbrand; Robert J Dempsey; Carol C Mitchell; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2020-04-11       Impact factor: 2.998

6.  Carotid Plaque Strain Indices Were Correlated With Cognitive Performance in a Cohort With Advanced Atherosclerosis, and Traditional Doppler Measures Showed no Association.

Authors:  Carol C Mitchell; Stephanie M Wilbrand; Thomas D Cook; Nirvedh H Meshram; Catherine N Steffel; Rebecca Nye; Tomy Varghese; Bruce P Hermann; Robert J Dempsey
Journal:  J Ultrasound Med       Date:  2020-05-12       Impact factor: 2.153

7.  Study of the Relationship Between Ultrasound Strain Indices and Cognitive Decline for Vulnerable Carotid Plaque.

Authors:  Nirvedh H Meshram; Daren Jackson; Carol C Mitchell; Stephanie M Wilbrand; Robert J Dempsey; Bruce P Hermann; Tomy Varghese
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2020-07

8.  GPU Accelerated Multilevel Lagrangian Carotid Strain Imaging.

Authors:  Nirvedh H Meshram; Tomy Varghese
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-05-28       Impact factor: 2.725

9.  Motion synchronisation patterns of the carotid atheromatous plaque from B-mode ultrasound.

Authors:  Spyretta Golemati; Eleni Patelaki; Aimilia Gastounioti; Ioannis Andreadis; Christos D Liapis; Konstantina S Nikita
Journal:  Sci Rep       Date:  2020-07-08       Impact factor: 4.379

Review 10.  Ultrasound elastography.

Authors:  Xin-Wu Cui; Kang-Ning Li; Ai-Jiao Yi; Bin Wang; Qi Wei; Ge-Ge Wu; Christoph F Dietrich
Journal:  Endosc Ultrasound       Date:  2022-05-02       Impact factor: 5.275

  10 in total

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