Literature DB >> 30826224

Presence of Calcium-Like Tissue Composition in Carotid Plaque is Indicative of Significant Coronary Artery Disease in High-Risk Patients.

Julia E Herr1, Marie-France Hétu1, Terry Y Li2, Paul Ewart1, Amer M Johri3.   

Abstract

BACKGROUND: Grayscale pixel ranges from ultrasound images, indicating differences in atherosclerotic plaque echogenicity, have been shown to represent different tissue types. Our objective was to determine whether carotid plaque composition was correlated with severity of coronary artery disease (CAD) and risk of cardiovascular (CV) events.
METHODS: A focused carotid ultrasound was performed in 522 participants who had recently undergone coronary angiography. In 468 participants found to have atherosclerotic plaque in at least one carotid artery, plaque composition was assessed for tissue-like types: grayscale ranges 0-4 (blood), 8-26 (fat), 41-76 (muscle), 112-196 (fibrous), and 211-255 (calcium). Logistic regression was used to evaluate correlations with significant CAD (≥50% stenosis). Cox proportional hazards models were used to determine risk for 5-year CV outcomes.
RESULTS: Carotid plaque percent fibrous and percent calcium increased with severity of CAD (P < .02). When adjusted for age, sex, body mass index, estimated glomerular filtration rate, and traditional cardiac risk factors, maximum plaque height and percent calcium remained independent contributors of significant CAD (P < .01). Plaque height (≥2.74 mm), percent calcium (≥0.11%), and percent fat (11.6%) were associated with increased risk for CV events. Combined plaque height and percent fat gave the highest risk for events (risk ratio = 2.02; CI, 1.41-2.94, P = .0002).
CONCLUSIONS: Carotid plaque fibrous and calcium-like tissues are correlated with increased CAD. Increased percent fat or percent calcium is associated with risk for CV events; however, a combination of plaque height, percent calcium, and/or percent fat increases risk for CV events. Incorporating ultrasound carotid plaque composition into screening practice may improve patient risk stratification for heart disease.
Copyright © 2019 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Carotid; Composition; Grayscale; Plaque; Ultrasound

Year:  2019        PMID: 30826224     DOI: 10.1016/j.echo.2019.01.001

Source DB:  PubMed          Journal:  J Am Soc Echocardiogr        ISSN: 0894-7317            Impact factor:   5.251


  3 in total

1.  Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study.

Authors:  Ankush D Jamthikar; Deep Gupta; Laura E Mantella; Luca Saba; John R Laird; Amer M Johri; Jasjit S Suri
Journal:  Int J Cardiovasc Imaging       Date:  2020-11-12       Impact factor: 2.357

2.  Diagnostic Values of Epicardial Adipose Tissue Thickness with Right Common Carotid Artery Elasticity and Intima-Media Thickness for Middle-Aged and Elderly Patients with Coronary Heart Disease.

Authors:  Chengsi Qian; Yan Sun; Jun Jiang
Journal:  Int J Gen Med       Date:  2021-02-25

Review 3.  A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review.

Authors:  Jasjit S Suri; Mrinalini Bhagawati; Sudip Paul; Athanasios D Protogerou; Petros P Sfikakis; George D Kitas; Narendra N Khanna; Zoltan Ruzsa; Aditya M Sharma; Sanjay Saxena; Gavino Faa; John R Laird; Amer M Johri; Manudeep K Kalra; Kosmas I Paraskevas; Luca Saba
Journal:  Diagnostics (Basel)       Date:  2022-03-16
  3 in total

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