ArticlePhysics in medicine and biology2017
Quantification of carotid artery plaque stability with multiple region of interest based ultrasound strain indices and relationship with cognition.
Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04382963 (Stroke Prevention in the Wisconsin Native American Population), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Stroke Prevention in the Wisconsin Native American Population
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- A bibliometric analysis of research on cognitive function and carotid atherosclerosis: global trends and hotspots.Frontiers in neurology · 2025Pooled it
- Self-supervised ultrasound B-mode strain elastography using SMURF.Ultrasonics · 2026Article
- Mask R-CNN-based carotid plaque localization in ultrasound images.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Lagrangian deformation tracking for strain imaging.Progress in biomedical engineering (Bristol, England) · 2026Review
- Novel Cerebrovascular Disease Blood Biomarkers Identified by Targeted Proteomics in a High-Risk Native American Population.World neurosurgery · 2026Article
- Comparative Analysis of Common Carotid Artery Intima-Media Thickness and Lagrangian Wall Strain in Relation to Cardiovascular Risk Factors Using Ultrasound.Ultrasound in medicine & biology · 2025Article
- Lumen segmentation using a Mask R-CNN in carotid arteries with stenotic atherosclerotic plaque.Ultrasonics · 2024Article
- In Vivo Adaptive Bayesian Regularized Lagrangian Carotid Strain Imaging for Murine Carotid Arteries and Its Associations With Histological Findings.Ultrasound in medicine & biology · 2023Article
- Carotid Plaque Strain Indices Were Correlated With Cognitive Performance in a Cohort With Advanced Atherosclerosis, and Traditional Doppler Measures Showed no Association.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2020Article
- Motion synchronisation patterns of the carotid atheromatous plaque from B-mode ultrasound.Scientific reports · 2020Observational
- Study of the Relationship Between Ultrasound Strain Indices and Cognitive Decline for Vulnerable Carotid Plaque.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Attenuation Coefficient Parameter Computations for Tissue Composition Assessment of Carotid Atherosclerotic Plaque in Vivo.Ultrasound in medicine & biology · 2020Article
- Hierarchical Motion Estimation With Bayesian Regularization in Cardiac Elastography: Simulation and In Vivo Validation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2019Article
- Lagrangian carotid strain imaging indices normalized to blood pressure for vulnerable plaque.Journal of clinical ultrasound : JCU · 2019Article
- A Cross-Sectional Investigation of Cognition and Ultrasound-Based Vascular Strain Indices.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2019Article
- Article
- GPU Accelerated Multilevel Lagrangian Carotid Strain Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2018Article
- Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.