Literature DB >> 27866279

High-risk carotid plaques identified by CT-angiogram can predict acute myocardial infarction.

Wassim Mosleh1, Keenan Adib2, Punnanithinont Natdanai2, Andres Carmona-Rubio2, Roshan Karki2, Jacienta Paily2, Mohamed Abdel-Aal Ahmed2, Sujit Vakkalanka2, Narasa Madam2, Gregory D Gudleski2, Charles Chung2, Umesh C Sharma2.   

Abstract

Prior studies identified the incremental value of non-invasive imaging by CT-angiogram (CTA) to detect high-risk coronary atherosclerotic plaques. Due to their superficial locations, larger calibers and motion-free imaging, the carotid arteries provide the best anatomic access for the non-invasive characterization of atherosclerotic plaques. We aim to assess the ability of predicting obstructive coronary artery disease (CAD) or acute myocardial infarction (MI) based on high-risk carotid plaque features identified by CTA. We retrospectively examined carotid CTAs of 492 patients that presented with acute stroke to characterize the atherosclerotic plaques of the carotid arteries and examined development of acute MI and obstructive CAD within 12-months. Carotid lesions were defined in terms of calcifications (large or speckled), presence of low-attenuation plaques, positive remodeling, and presence of napkin ring sign. Adjusted relative risks were calculated for each plaque features. Patients with speckled (<3 mm) calcifications and/or larger calcifications on CTA had a higher risk of developing an MI and/or obstructive CAD within 1 year compared to patients without (adjusted RR of 7.51, 95%CI 1.26-73.42, P = 0.001). Patients with low-attenuation plaques on CTA had a higher risk of developing an MI and/or obstructive CAD within 1 year than patients without (adjusted RR of 2.73, 95%CI 1.19-8.50, P = 0.021). Presence of carotid calcifications and low-attenuation plaques also portended higher sensitivity (100 and 79.17%, respectively) for the development of acute MI. Presence of carotid calcifications and low-attenuation plaques can predict the risk of developing acute MI and/or obstructive CAD within 12-months. Given their high sensitivity, their absence can reliably exclude 12-month events.

Entities:  

Keywords:  CT-angiogram; Carotid plaques; Imaging; Myocardial infraction

Mesh:

Year:  2016        PMID: 27866279      PMCID: PMC5357438          DOI: 10.1007/s10554-016-1019-5

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  23 in total

1.  Atherosclerotic plaque at the carotid bifurcation: CT angiographic appearance with histopathologic correlation.

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2.  Noninvasive assessment of plaque morphology and composition in culprit and stable lesions in acute coronary syndrome and stable lesions in stable angina by multidetector computed tomography.

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4.  The napkin-ring sign: CT signature of high-risk coronary plaques?

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Review 8.  Comprehensive plaque assessment by coronary CT angiography.

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10.  Black-white differences in stroke incidence in a national sample. The contribution of hypertension and diabetes mellitus.

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Journal:  JAMA       Date:  1990-09-12       Impact factor: 56.272

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Review 2.  Imaging Approaches to the Diagnosis of Vascular Diseases.

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Review 4.  Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application.

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Review 7.  Carotid plaque imaging and the risk of atherosclerotic cardiovascular disease.

Authors:  Guangming Zhu; Jason Hom; Ying Li; Bin Jiang; Fatima Rodriguez; Dominik Fleischmann; David Saloner; Michele Porcu; Yanrong Zhang; Luca Saba; Max Wintermark
Journal:  Cardiovasc Diagn Ther       Date:  2020-08

Review 8.  Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction-A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review.

Authors:  Narendra N Khanna; Mahesh Maindarkar; Ajit Saxena; Puneet Ahluwalia; Sudip Paul; Saurabh K Srivastava; Elisa Cuadrado-Godia; Aditya Sharma; Tomaz Omerzu; Luca Saba; Sophie Mavrogeni; Monika Turk; John R Laird; George D Kitas; Mostafa Fatemi; Al Baha Barqawi; Martin Miner; Inder M Singh; Amer Johri; Mannudeep M Kalra; Vikas Agarwal; Kosmas I Paraskevas; Jagjit S Teji; Mostafa M Fouda; Gyan Pareek; Jasjit S Suri
Journal:  Diagnostics (Basel)       Date:  2022-05-17

9.  Prediction of Carotid In-Stent Restenosis by Computed Tomography Angiography Carotid Plaque-Based Radiomics.

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10.  Superficial and multiple calcifications and ulceration associate with intraplaque hemorrhage in the carotid atherosclerotic plaque.

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Journal:  Eur Radiol       Date:  2018-06-06       Impact factor: 5.315

  10 in total

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