Literature DB >> 27342940

Focused Vascular Ultrasound for the Assessment of Atherosclerosis: A Proof-of-Concept Study.

Amer M Johri1, Catherine M Calnan2, Murray F Matangi3, Jimmy MacHaalany2, Marie-France Hétu2.   

Abstract

BACKGROUND: Current decisions to refer for angiographic coronary assessment are based on pain character, risk scores, stress testing, and occasionally calcium scoring. Carotid plaque has emerged as an effective vascular biomarker, but the cost and time of a full carotid ultrasound examination are disadvantageous. Focused vascular ultrasound (FOVUS) is a rapid limited assessment of carotid plaque that can be conducted by non-vascular-trained operators. The objective of the study was to determine the test characteristics of FOVUS for the assessment of significant coronary atherosclerosis in symptomatic patients referred for cardiac assessment.
METHODS: In this prospective study, FOVUS was performed in 208 outpatients at low to intermediate risk undergoing same-day angiography. Carotid artery maximal plaque height was measured in each participant. A previously established receiver operating characteristic curve determined that a value of ≥1.5 mm was the threshold for significant angiographic coronary artery disease. FOVUS scan results, alone or combined with stress testing, were analyzed for the prediction of significant coronary artery disease.
RESULTS: The negative predictive value and sensitivity of plaque height alone by FOVUS were found to be 77% and 93%, respectively. Adding the FOVUS scan result to stress testing significantly increased the negative predictive value and sensitivity of these traditional risk stratification tools.
CONCLUSIONS: Rapid carotid plaque height measurement by FOVUS enhanced atherosclerosis risk prediction in patients referred for cardiac assessment. Rapid plaque quantification had good negative predictive value and high sensitivity alone or in combination with stress testing. FOVUS may serve as a potential point-of-care ultrasound tool in the integrated assessment of cardiac pain.
Copyright © 2016 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Angiography; Carotid ultrasound; Plaque; Stress test

Mesh:

Year:  2016        PMID: 27342940     DOI: 10.1016/j.echo.2016.05.003

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


  8 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.  Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization.

Authors:  Amer M Johri; Laura E Mantella; Ankush D Jamthikar; Luca Saba; John R Laird; Jasjit S Suri
Journal:  Int J Cardiovasc Imaging       Date:  2021-05-29       Impact factor: 2.357

3.  Maximum plaque height in carotid ultrasound predicts cardiovascular disease outcomes: a population-based validation study of the American society of echocardiography's grade II-III plaque characterization and protocol.

Authors:  Amer M Johri; Katherine A Lajkosz; Nicholas Grubic; Saadul Islam; Terry Y Li; Christopher S Simpson; Paul Ewart; Jasjit S Suri; Marie-France Hétu
Journal:  Int J Cardiovasc Imaging       Date:  2021-01-27       Impact factor: 2.357

4.  Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients.

Authors:  George Konstantonis; Krishna V Singh; Petros P Sfikakis; Ankush D Jamthikar; George D Kitas; Suneet K Gupta; Luca Saba; Kleio Verrou; Narendra N Khanna; Zoltan Ruzsa; Aditya M Sharma; John R Laird; Amer M Johri; Manudeep Kalra; Athanasios Protogerou; Jasjit S Suri
Journal:  Rheumatol Int       Date:  2022-01-11       Impact factor: 2.631

5.  Carotid intraplaque neovascularization predicts coronary artery disease and cardiovascular events.

Authors:  Laura E Mantella; Kayla N Colledanchise; Marie-France Hétu; Steven B Feinstein; Joseph Abunassar; Amer M Johri
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-11-01       Impact factor: 6.875

6.  Interatrial block predicts atrial fibrillation in patients with carotid and coronary artery disease.

Authors:  Bryce Alexander; Adrian Baranchuk; Sohaib Haseeb; Henri van Rooy; Adrian Kuchtaruk; Wilma Hopman; Göksel Çinier; Marie-France Hetu; Terry Y Li; Amer M Johri
Journal:  J Thorac Dis       Date:  2018-07       Impact factor: 2.895

7.  The Heart and Kidney: Abnormal Phosphate Homeostasis Is Associated With Atherosclerosis.

Authors:  Rachel M Holden; Marie-France Hétu; Terry Y Li; Emilie Ward; Laura E Couture; Julia E Herr; Erin Christilaw; Michael A Adams; Amer M Johri
Journal:  J Endocr Soc       Date:  2018-11-28

8.  Progression of atherosclerosis with carnitine supplementation: a randomized controlled trial in the metabolic syndrome.

Authors:  Amer M Johri; Marie-France Hétu; Daren K Heyland; Julia E Herr; Jennifer Korol; Shawna Froese; Patrick A Norman; Andrew G Day; Murray F Matangi; Erin D Michos; Stephen A LaHaye; Fraser W Saunders; J David Spence
Journal:  Nutr Metab (Lond)       Date:  2022-04-02       Impact factor: 4.169

  8 in total

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