Ultrasound in Medicine & Biology

2016

DOI: 10.1016/j.ultrasmedbio.2015.09.023

|View full text |Cite

|

Sign up to set email alerts

|

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

¹

,

²

,

³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Discussion3

Methods1

Introduction1

Citation Types

Supporting

3

Mentioning

34

Contrasting

0

Year Published

2017

2017

2022

2022

Publication Types

Select...

Article5

Book1

Relationship

Self Cite0

Independent6

Authors

Journals

Cited by 59 publications

(39 citation statements)

References 57 publications

Supporting

3

Mentioning

34

Contrasting

0

Order By: Relevance

“…Another group used principal component analysis of carotid plaque texture and echogenicity to determine variables associated with plaque instability on histology that were independent of stenosis [38]. Texture analysis methods have also been applied to carotid ultrasound elastography using HR-MRI as a reference to improve plaque vulnerability assessment [39]. These ultrasound-based studies of extracranial atherosclerosis support the use of radiomic analysis to reveal quantitative variables within images to improve risk estimates associated with atherosclerotic plaque beyond plaque size or qualitative features.…”

Section: Discussionmentioning

confidence: 99%

Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach

¹

,

Zhu²,

³

et al. 2018

View full text Add to dashboard Cite

ObjectivesTo evaluate a quantitative radiomic approach based on high-resolution magnetic resonance imaging (HR-MRI) to differentiate acute/sub-acute symptomatic basilar artery plaque from asymptomatic plaque.MethodsNinety-six patients with basilar artery stenosis underwent HR-MRI between January 2014 and December 2016. Patients were scanned with T1- and T2-weighted imaging, as well as T1 imaging following gadolinium-contrast injection (CE-T1). The stenosis value, plaque area/burden, lumen area, minimal luminal area (MLA), intraplaque haemorrhage (IPH), contrast enhancement ratio and 94 quantitative radiomic features were extracted and compared between acute/sub-acute and asymptomatic patients. Multi-variate logistic analysis and a random forest model were used to evaluate the diagnostic performance.ResultsIPH, MLA and enhancement ratio were independently associated with acute/subacute symptoms. Radiomic features in T1 and CE-T1 images were associated with acute/subacute symptoms, but the features from T2 images were not. The combined IPH, MLA and enhancement ratio had an area under the curve (AUC) of 0.833 for identifying acute/sub-acute symptomatic plaques, and the combined T1 and CE-T1 radiomic approach had a significantly higher AUC of 0.936 (p = 0.01). Combining all features achieved an AUC of 0.974 and accuracy of 90.5%.ConclusionsRadiomic analysis of plaque texture on HR-MRI accurately distinguished between acutely symptomatic and asymptomatic basilar plaques.Key Points • High-resolution magnetic resonance imaging can assess basilar artery atherosclerotic plaque. • Radiomic features in T1 and CE-T1 images are associated with acute symptoms. • Radiomic analysis can accurately distinguish between acute symptomatic and asymptomatic plaque. • The highest accuracy may be achieved by combining radiomic and conventional features. Electronic supplementary materialThe online version of this article (10.1007/s00330-018-5395-1) contains supplementary material, which is available to authorized users.

“…Another group used principal component analysis of carotid plaque texture and echogenicity to determine variables associated with plaque instability on histology that were independent of stenosis [38]. Texture analysis methods have also been applied to carotid ultrasound elastography using HR-MRI as a reference to improve plaque vulnerability assessment [39]. These ultrasound-based studies of extracranial atherosclerosis support the use of radiomic analysis to reveal quantitative variables within images to improve risk estimates associated with atherosclerotic plaque beyond plaque size or qualitative features.…”

Section: Discussionmentioning

confidence: 99%

Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach

¹

,

Zhu²,

³

et al. 2018

View full text Add to dashboard Cite

ObjectivesTo evaluate a quantitative radiomic approach based on high-resolution magnetic resonance imaging (HR-MRI) to differentiate acute/sub-acute symptomatic basilar artery plaque from asymptomatic plaque.MethodsNinety-six patients with basilar artery stenosis underwent HR-MRI between January 2014 and December 2016. Patients were scanned with T1- and T2-weighted imaging, as well as T1 imaging following gadolinium-contrast injection (CE-T1). The stenosis value, plaque area/burden, lumen area, minimal luminal area (MLA), intraplaque haemorrhage (IPH), contrast enhancement ratio and 94 quantitative radiomic features were extracted and compared between acute/sub-acute and asymptomatic patients. Multi-variate logistic analysis and a random forest model were used to evaluate the diagnostic performance.ResultsIPH, MLA and enhancement ratio were independently associated with acute/subacute symptoms. Radiomic features in T1 and CE-T1 images were associated with acute/subacute symptoms, but the features from T2 images were not. The combined IPH, MLA and enhancement ratio had an area under the curve (AUC) of 0.833 for identifying acute/sub-acute symptomatic plaques, and the combined T1 and CE-T1 radiomic approach had a significantly higher AUC of 0.936 (p = 0.01). Combining all features achieved an AUC of 0.974 and accuracy of 90.5%.ConclusionsRadiomic analysis of plaque texture on HR-MRI accurately distinguished between acutely symptomatic and asymptomatic basilar plaques.Key Points • High-resolution magnetic resonance imaging can assess basilar artery atherosclerotic plaque. • Radiomic features in T1 and CE-T1 images are associated with acute symptoms. • Radiomic analysis can accurately distinguish between acute symptomatic and asymptomatic plaque. • The highest accuracy may be achieved by combining radiomic and conventional features. Electronic supplementary materialThe online version of this article (10.1007/s00330-018-5395-1) contains supplementary material, which is available to authorized users.

“…Due to its high temporal resolution, duplex ultrasonography is well-suited for imaging plaque motion, deformation and resulting plaque strain during the cardiac cycle. Studies using radiofrequency (RF) ultrasonography in a research environment have shown that in symptomatic patients, carotid plaques had asymmetric discordant motion with high strain compared to asymptomatic plaques 11,12 . This approach was used by Huang et.…”

Section: Discussionmentioning

confidence: 99%

“…al. , who also correlated their findings with magnetic resonance imaging (MRI) morphology 12 . However, clinical vascular laboratories do not have access to machines that record RF data.…”

Section: Discussionmentioning

confidence: 99%

“…We computed three parameters to assess the global behavior of the plaque. 1) Maximum Absolute Shear Strain Rate (MASSR), a measure of the magnitude of strain regardless of direction 12 . We introduced two measures for the spread or variability in magnitude or direction of the strain fields within the plaque: 2) Variance of Shear Strain Rate (VSSR) specifies the dispersion of strain and 3) Entropy of Shear Strain Rate (ESSR) measures the discordance within the plaque tissue.…”

Section: Methodsmentioning

confidence: 99%

“…Carotid plaque strain measurements can be obtained using radiofrequency (RF) ultrasound and speckle tracking, though clinical translation is limited by a lack of access to RF data in commercial ultrasound machines 10–12 . B-mode ultrasound imaging is a practical solution for real-time longitudinal evaluation of plaque deformation and strain, but it has not been tested for feasibility or reliability.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Noninvasive characterization of carotid plaque strain

¹

,

²

,

³

et al. 2017

Journal of Vascular Surgery

View full text Add to dashboard Cite

OBJECTIVES Current risk-stratification of internal carotid artery plaques based on diameter-reducing percent stenosis may be unreliable since ischemic stroke results from plaque disruption with atheroembolization. Biomechanical forces acting on the plaque may render it vulnerable to rupture. The feasibility of ultrasound-based quantification of plaque displacement and strain induced by hemodynamic forces, and their relationship to high-risk plaques has not been determined. We studied the feasibility and reliability of carotid plaque strain measurement from clinical B-mode ultrasound images, and the relationship of strain to high-risk plaque morphology. METHODS We analyzed carotid ultrasound B-mode cine-loops obtained in patients with asymptomatic ≥50% stenosis during routine clinical scanning. Optical-flow methods were used to quantify plaque-motion and shear-strain during the cardiac-cycle. The magnitude (Maximum Absolute Shear-Strain Rate, MASSR), and variability (information Entropy of Shear-Strain Rate, ESSR and the Variance of Shear-Strain Rate, VSSR) of strain were combined into a composite Shear-Strain-Index (SSI) which was assessed for inter-scan repeatability and correlated with plaque echolucency. RESULTS Nineteen patients (mean age 70-years) constituting 36 plaques underwent imaging. 37% (n=7) of patients showed high strain (SSI ≥0.5, and mean MASSR 2.2, ESSR 39.7, VSSR 0.03) in their plaques, while the remaining clustered into a low-strain group (SSI <0.5, MASSR 0.58, ESSR 21.2, VSSR 0.002). The area of echolucent morphology was greater in high-strain plaques versus low-strain plaques (28% versus 17%, P=.018). Strain measurements showed low variability on Bland-Altman plots with cluster-assignment agreement of 76% on repeat scanning. Two patients developed a stroke over 2 years of follow-up; both demonstrated high SSI (≥0.5) at baseline. CONCLUSIONS Carotid plaque strain is reliably computed from routine B-mode imaging using clinical ultrasound machines. High plaque strain correlates with known high-risk echolucent morphology. Strain measurement can complement identification of patients at high risk for plaque disruption and stroke.

Inverse material parameter estimation of patient‐specific finite element models at the carotid bifurcation: The impact of excluding the zero‐pressure configuration and residual stress

¹

,

²

,

³

2022

Numer Methods Biomed Eng

View full text Add to dashboard Cite

The carotid bifurcation experiences a complex loading environment due to its anatomical structure. Previous in-vivo material parameter estimation methods often use simplified model geometries, isotropic hyperelastic constitutive equations or neglect key aspects of the vessel, such as the zero-pressure configuration or residual stress, all of which have independently been shown to alter the stress environment of the vessel wall. Characterizing the location of high stress in the vessel wall has often been proposed as a potential indicator of structural weakness. However, excluding the afore-mentioned zero-pressure configura-

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Product

Browser Extension Assistant by scite Citation Statement Search Reference Check Visualizations Dashboards Explore Journals Explore Organizations Explore Funders Embedding Badge Embedding Citation Search Pricing

Resources

Blog Help & FAQ Accessibility Statement API Terms For Universities & Governments For Researchers For Publishers For Corporate, Pharma & Enterprise Author Marketing Become an Affiliate Get an organization trial or quote scite Data & Services

About

News & Press Careers Read our Paper Coverage

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Copyright © 2024 scite LLC. All rights reserved.

Made with 💙 for researchers

Part of the Research Solutions Family.