Literature DB >> 28705824

Carotid Plaque Morphology and Ischemic Vascular Brain Disease on MRI.

Q J A van den Bouwhuijsen1,2, M W Vernooij1,2, B F J Verhaaren1, H A Vrooman2,3, W J Niessen2,3, G P Krestin2, M A Ikram1,2, O H Franco1, A van der Lugt4.   

Abstract

BACKGROUND AND
PURPOSE: Vulnerable carotid plaque components are reported to increase the risk of cerebrovascular events. Yet, the relation between plaque composition and subclinical ischemic brain disease is not known. We studied, in the general population, the association between carotid atherosclerotic plaque characteristics and ischemic brain disease on MR imaging.
MATERIALS AND METHODS: From the population-based Rotterdam Study, 951 participants underwent both carotid MR imaging and brain MR imaging. The presence of intraplaque hemorrhage, lipid core, and calcification and measures of plaque size was assessed in both carotid arteries. The presence of plaque characteristics in relation to lacunar and cortical infarcts and white matter lesion volume was investigated and adjusted for cardiovascular risk factors. Stratified analyses were conducted to explore effect modification by sex. Additional analyses were conducted per carotid artery in relation to vascular brain disease in the ipsilateral hemisphere.
RESULTS: Carotid intraplaque hemorrhage was significantly associated with the presence of cortical infarcts (OR, 1.9; 95% confidence interval, 1.1-3.3). None of the plaque characteristics were related to the presence of lacunar infarcts. Calcification was the only characteristic that was associated with higher white matter lesion volume. There was no significant interaction by sex.
CONCLUSIONS: The presence of carotid intraplaque hemorrhage on MR imaging is independently associated with MR imaging-defined cortical infarcts, but not with lacunar infarcts. Plaque calcification, but not vulnerable plaque components, is related to white matter lesion volume.
© 2017 by American Journal of Neuroradiology.

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Mesh:

Year:  2017        PMID: 28705824     DOI: 10.3174/ajnr.A5288

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  7 in total

Review 1.  Carotid atherosclerotic disease: A systematic review of pathogenesis and management.

Authors:  Shyamal C Bir; Roger E Kelley
Journal:  Brain Circ       Date:  2022-09-21

Review 2.  Carotid Plaque Composition and the Importance of Non-Invasive in Imaging Stroke Prevention.

Authors:  Martin Andreas Geiger; Ronald Luiz Gomes Flumignan; Marcone Lima Sobreira; Wagner Mauad Avelar; Carla Fingerhut; Sokrates Stein; Ana Terezinha Guillaumon
Journal:  Front Cardiovasc Med       Date:  2022-05-16

3.  Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images.

Authors:  S Latha; P Muthu; Samiappan Dhanalakshmi; R Kumar; Khin Wee Lai; Xiang Wu
Journal:  Comput Intell Neurosci       Date:  2022-05-12

4.  Gadolinium Enhancement of the Aneurysm Wall in Extracranial Carotid Artery Aneurysms.

Authors:  C J H C M van Laarhoven; M L Rots; V E C Pourier; N K N Jorritsma; T Leiner; J Hendrikse; M D I Vergouwen; G J de Borst
Journal:  AJNR Am J Neuroradiol       Date:  2020-02-27       Impact factor: 3.825

5.  Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease.

Authors:  Sonia S Anand; Jack V Tu; Dipika Desai; Phillip Awadalla; Paula Robson; Sébastien Jacquemont; Trevor Dummer; Nhu Le; Louise Parker; Paul Poirier; Koon Teo; Scott A Lear; Salim Yusuf; Jean-Claude Tardif; Francois Marcotte; David Busseuil; Jean-Pierre Després; Sandra E Black; Anish Kirpalani; Grace Parraga; Michael D Noseworthy; Alexander Dick; Jonathan Leipsic; David Kelton; Jennifer Vena; Melissa Thomas; Karleen M Schulze; Eric Larose; Alan R Moody; Eric E Smith; Matthias G Friedrich
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2020-06-01       Impact factor: 6.875

6.  Serum insulin levels are associated with vulnerable plaque components in the carotid artery: the Rotterdam Study.

Authors:  Blerim Mujaj; Daniel Bos; Maryam Kavousi; Aad van der Lugt; Jan A Staessen; Oscar H Franco; Meike W Vernooij
Journal:  Eur J Endocrinol       Date:  2020-03       Impact factor: 6.664

Review 7.  Machine Learning Quantitation of Cardiovascular and Cerebrovascular Disease: A Systematic Review of Clinical Applications.

Authors:  Chris Boyd; Greg Brown; Timothy Kleinig; Joseph Dawson; Mark D McDonnell; Mark Jenkinson; Eva Bezak
Journal:  Diagnostics (Basel)       Date:  2021-03-19
  7 in total

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