Literature DB >> 26122814

Carotid Ultrasound Maximum Plaque Height-A Sensitive Imaging Biomarker for the Assessment of Significant Coronary Artery Disease.

Amer M Johri1, Pearl Behl1, Marie-France Hétu1, Mohammad Haqqi1, Paul Ewart1, Andrew G Day1, Brendan Parfrey1, Murray F Matangi2.   

Abstract

OBJECTIVES: We investigated the use of carotid intima-media thickness and carotid plaque in predicting significant angiographic coronary stenosis.
METHODS: Three hundred eighteen consecutive outpatients underwent angiography and carotid ultrasound on the same day. The extent of coronary stenosis was determined using an established scoring system. Mean far distal carotid intima-media thickness of the common carotid artery, maximum plaque height, and total plaque area in the bulbs were measured by ultrasound. Cutoff values were identified using a receiver operating characteristic curve for predicting and ruling out coronary artery disease.
RESULTS: The mean ± SD carotid intima-media thickness (≥50% stenosis = 0.91 ± 0.23 mm, <50% stenosis = 0.82 ± 0.18 mm), maximum plaque height (≥50% stenosis = 2.64 ± 0.85 mm, <50% stenosis = 1.72 ± 1.04 mm), and total plaque area (≥50% stenosis = 39.1 ± 27.7 mm(2) , <50% stenosis = 22.2 ± 23.4 mm(2) ) were significantly higher in patients with coronary artery disease (P ≤ 0.001 for all three comparisons). Increased CIMT, plaque height, and area correlated with increased number of affected vessels. Plaque height had the best negative likelihood ratio for ruling out disease (0.15). The optimal threshold values for predicting coronary disease were 0.82 mm for carotid intima-media thickness, 1.54 mm for plaque height, and 25.6 mm(2) for total plaque area.
CONCLUSION: Increased carotid intima-media thickness and plaque measurements are indicative of the presence of epicardial coronary stenosis. Plaque burden is a more sensitive imaging biomarker for ruling out significant coronary artery disease, including in younger individuals.
© 2015, Wiley Periodicals, Inc.

Entities:  

Keywords:  angiography; atherosclerosis; cardiovascular disease; carotid plaque; coronary artery stenosis; ultrasound

Mesh:

Substances:

Year:  2015        PMID: 26122814     DOI: 10.1111/echo.13007

Source DB:  PubMed          Journal:  Echocardiography        ISSN: 0742-2822            Impact factor:   1.724


  17 in total

1.  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

2.  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

Review 3.  Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application.

Authors:  Luca Saba; Skandha S Sanagala; Suneet K Gupta; Vijaya K Koppula; Amer M Johri; Narendra N Khanna; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; Durga P Misra; Vikas Agarwal; Aditya M Sharma; Vijay Viswanathan; Vijay S Rathore; Monika Turk; Raghu Kolluri; Klaudija Viskovic; Elisa Cuadrado-Godia; George D Kitas; Neeraj Sharma; Andrew Nicolaides; Jasjit S Suri
Journal:  Ann Transl Med       Date:  2021-07

4.  Associations of Endogenous Sex Hormones with Carotid Plaque Burden and Characteristics in Midlife Women.

Authors:  Yamnia I Cortés; Emma Barinas-Mitchell; Natalie Suder Egnot; Shalender Bhasin; Ravi Jasuja; Nanette Santoro; Rebecca C Thurston
Journal:  J Clin Endocrinol Metab       Date:  2020-04-01       Impact factor: 5.958

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.  Early Diagnosis and Treatment of Coronary Heart Disease in Symptomatic Subjects With Advanced Vascular Atherosclerosis of the Carotid Artery (Type III and IV b Findings Using Ultrasound).

Authors:  Ansgar Adams; Waldemar Bojara; Klaus Schunk
Journal:  Cardiol Res       Date:  2017-03-03

8.  The Determination of the Plaque Burden on the Carotid Artery With Ultrasound Significantly Improves the Risk Prediction in Middle-Aged Subjects Compared to PROCAM: An Outcome Study.

Authors:  Ansgar Adams; Waldemar Bojara; Michel Romanens
Journal:  Cardiol Res       Date:  2020-06-03

9.  The association of lipoprotein(a) and intraplaque neovascularization in patients with carotid stenosis: a retrospective study.

Authors:  Shuang Xia; Weida Qiu; Anping Cai; Bo Kong; Lan Xu; Zejia Wu; Liwen Li
Journal:  BMC Cardiovasc Disord       Date:  2021-06-09       Impact factor: 2.298

10.  Early Diagnosis and Treatment of Coronary Heart Disease in Asymptomatic Subjects With Advanced Vascular Atherosclerosis of the Carotid Artery (Type III and IV b Findings Using Ultrasound) and Risk Factors.

Authors:  Ansgar Adams; Waldemar Bojara; Klaus Schunk
Journal:  Cardiol Res       Date:  2018-02-11
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