Literature DB >> 17379827

Carotid intraplaque hemorrhage predicts recurrent symptoms in patients with high-grade carotid stenosis.

Nishath Altaf1, Shane T MacSweeney, John Gladman, Dorothee P Auer.   

Abstract

BACKGROUND AND
PURPOSE: Carotid intraplaque hemorrhage (IPH), known to be associated with plaque instability, may convey a higher stroke risk. The aim of this study was to assess whether the identification of IPH by MRI predicts recurrent clinical cerebrovascular events.
METHODS: Sixty-six patients with high-grade symptomatic carotid stenosis underwent MRI of the carotid arteries and were followed until carotid endarterectomy or 30 days.
RESULTS: Of the 66 patients with a median follow up of 33.5 days, 44 (66.7%) were found on MRI to have ipsilateral carotid IPH. Fifteen recurrent events were associated with ipsilateral carotid IPH. Only 2 recurrent events occurred in the absence of IPH. IPH increased the risk of recurrent ischemia (hazard ratio=4.8; 95% CI=1.1 to 20.9, P<0.05).
CONCLUSIONS: IPH as detected by MRI predicts recurrent cerebrovascular events in patients with symptomatic high-grade carotid stenosis.

Entities:  

Mesh:

Year:  2007        PMID: 17379827     DOI: 10.1161/STROKEAHA.106.473066

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  71 in total

1.  A preliminary prediction model with MR plaque imaging to estimate risk for new ischemic brain lesions on diffusion-weighted imaging after endarterectomy or stenting in patients with carotid stenosis.

Authors:  N Akutsu; K Hosoda; A Fujita; E Kohmura
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-08       Impact factor: 3.825

2.  Safety of protected carotid artery stenting in patients with severe carotid artery stenosis and carotid intraplaque hemorrhage.

Authors:  W Yoon; S K Kim; M S Park; H J Chae; H K Kang
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-12       Impact factor: 3.825

3.  Discriminating carotid atherosclerotic lesion severity by luminal stenosis and plaque burden: a comparison utilizing high-resolution magnetic resonance imaging at 3.0 Tesla.

Authors:  Xihai Zhao; Hunter R Underhill; Qian Zhao; Jianming Cai; Feiyu Li; Minako Oikawa; Li Dong; Hideki Ota; Thomas S Hatsukami; Baocheng Chu; Chun Yuan
Journal:  Stroke       Date:  2010-12-23       Impact factor: 7.914

Review 4.  Noninvasive imaging of atheromatous carotid plaques.

Authors:  Umar Sadat; Zhi-Yong Li; Martin J Graves; Tjun Y Tang; Jonathan H Gillard
Journal:  Nat Clin Pract Cardiovasc Med       Date:  2009-03

5.  Noninvasive detection of macrophage-rich atherosclerotic plaque in hyperlipidemic rabbits using "positive contrast" magnetic resonance imaging.

Authors:  Grigorios Korosoglou; Robert G Weiss; Dorota A Kedziorek; Piotr Walczak; Wesley D Gilson; Michael Schär; David E Sosnovik; Dara L Kraitchman; Raymond C Boston; Jeff W M Bulte; Ralph Weissleder; Matthias Stuber
Journal:  J Am Coll Cardiol       Date:  2008-08-05       Impact factor: 24.094

Review 6.  [Extracranial carotid stenosis: diagnostics, therapy and follow-up].

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7.  New developments in clinical ischemic stroke prevention and treatment and their imaging implications.

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8.  Carotid Intraplaque-Hemorrhage Volume and Its Association with Cerebrovascular Events.

Authors:  L Saba; G Micheletti; W Brinjikji; P Garofalo; R Montisci; A Balestrieri; J S Suri; J K DeMarco; G Lanzino; R Sanfilippo
Journal:  AJNR Am J Neuroradiol       Date:  2019-09-26       Impact factor: 3.825

9.  Clinical Significance of Intraplaque Hemorrhage in Low- and High-Grade Basilar Artery Stenosis on High-Resolution MRI.

Authors:  C Zhu; X Tian; A J Degnan; Z Shi; X Zhang; L Chen; Z Teng; D Saloner; J Lu; Q Liu
Journal:  AJNR Am J Neuroradiol       Date:  2018-05-24       Impact factor: 3.825

10.  Predicting carotid plaque characteristics using quantitative color-coded T1-weighted MR plaque imaging: correlation with carotid endarterectomy specimens.

Authors:  S Narumi; M Sasaki; H Ohba; K Ogasawara; M Kobayashi; T Natori; J Hitomi; H Itagaki; T Takahashi; Y Terayama
Journal:  AJNR Am J Neuroradiol       Date:  2013-10-03       Impact factor: 3.825

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