Literature DB >> 22498329

Prevalence of nonstenosing, complicated atherosclerotic plaques in cryptogenic stroke.

Tobias M Freilinger1, Andreas Schindler, Caroline Schmidt, Jochen Grimm, Clemens Cyran, Florian Schwarz, Fabian Bamberg, Jennifer Linn, Maximilian Reiser, Chun Yuan, Konstantin Nikolaou, Martin Dichgans, Tobias Saam.   

Abstract

OBJECTIVES: Our goal was to assess the prevalence of complicated American Heart Association (AHA) lesion type VI plaques in the carotid arteries of patients with cryptogenic stroke.
BACKGROUND: In up to 40% of ischemic stroke patients, no definite cause can be established despite extensive workup (i.e., cryptogenic stroke). To test the hypothesis if nonstenosing complicated carotid plaques may be the underlying etiology in some of these patients, we used high-resolution black-blood carotid magnetic resonance imaging (MRI), which can quantitatively assess plaque composition and morphology with good correlation to histopathology. Specifically, we focused on AHA type VI plaques, which are characterized by hemorrhage, thrombus, or fibrous cap rupture.
METHODS: Thirty-two consecutive patients (22 male; mean age 71.7 ± 11.9 years) with cryptogenic stroke and nonstenosing (<50%) eccentric carotid plaques were recruited from a single stroke unit. All patients underwent extensive clinical workup (brain MRI, duplex sonography, electrocardiography and Holter monitoring, transthoracic and transesophageal echocardiography, and laboratory investigations) to exclude other causes of stroke. All patients received a black-blood carotid MRI at 3-T with fat-saturated pre- and post-contrast T-1-, proton density-, and T-2-weighted and time-of-flight images using surface coils and parallel imaging techniques. Prevalence of AHA type VI plaque was determined in both carotid arteries on the basis of previously published MRI criteria.
RESULTS: AHA type VI plaques were found in 12 of 32 arteries (37.5%) ipsilateral to the stroke, whereas there were no AHA type VI plaques contralateral to the stroke (p = 0.001). The most common diagnostic feature of AHA type VI plaques was intraplaque hemorrhage (75%), followed by fibrous plaque rupture (50%) and luminal thrombus (33%).
CONCLUSIONS: This pilot study suggests that arterio-arterial embolism from complicated, nonstenosing carotid atherosclerotic plaques may play a role in a subgroup of patients previously diagnosed with cryptogenic stroke. To further evaluate the significance of AHA type VI plaques in cryptogenic stroke, future studies will have to analyze both clinical and imaging follow-up data, including event rates for secondary strokes.
Copyright © 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22498329     DOI: 10.1016/j.jcmg.2012.01.012

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  63 in total

1.  High-risk plaque features can be detected in non-stenotic carotid plaques of patients with ischaemic stroke classified as cryptogenic using combined (18)F-FDG PET/MR imaging.

Authors:  Fabien Hyafil; Andreas Schindler; Dominik Sepp; Tilman Obenhuber; Anna Bayer-Karpinska; Tobias Boeckh-Behrens; Sabine Höhn; Marcus Hacker; Stephan G Nekolla; Axel Rominger; Martin Dichgans; Markus Schwaiger; Tobias Saam; Holger Poppert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-10-03       Impact factor: 9.236

2.  Platelet-Rich Emboli in Cerebral Large Vessel Occlusion Are Associated With a Large Artery Atherosclerosis Source.

Authors:  Seán Fitzgerald; Daying Dai; Shunli Wang; Andrew Douglas; Ramanathan Kadirvel; Kennith F Layton; Ike C Thacker; Matthew J Gounis; Ju-Yu Chueh; Ajit S Puri; Mohammed Almekhlafi; Andrew M Demchuk; Ricardo A Hanel; Eric Sauvageau; Amin Aghaebrahim; Albert J Yoo; Peter Kvamme; Vitor M Pereira; Yasha Kayan; Josser E Delgado Almandoz; Raul G Nogueira; Alejandro A Rabinstein; David F Kallmes; Karen M Doyle; Waleed Brinjikji
Journal:  Stroke       Date:  2019-05-29       Impact factor: 7.914

3.  CTA for screening of complicated atherosclerotic carotid plaque--American Heart Association type VI lesions as defined by MRI.

Authors:  M Trelles; K M Eberhardt; M Buchholz; A Schindler; A Bayer-Karpinska; M Dichgans; M F Reiser; K Nikolaou; T Saam
Journal:  AJNR Am J Neuroradiol       Date:  2013-07-18       Impact factor: 3.825

Review 4.  Cardioembolic Stroke.

Authors:  Hooman Kamel; Jeff S Healey
Journal:  Circ Res       Date:  2017-02-03       Impact factor: 17.367

5.  Prediction of Carotid Intraplaque Hemorrhage Using Adventitial Calcification and Plaque Thickness on CTA.

Authors:  L B Eisenmenger; B W Aldred; S-E Kim; G J Stoddard; A de Havenon; G S Treiman; D L Parker; J S McNally
Journal:  AJNR Am J Neuroradiol       Date:  2016-04-21       Impact factor: 3.825

Review 6.  MRI of carotid atherosclerosis.

Authors:  William S Kerwin; Thomas Hatsukami; Chun Yuan; Xue-Qiao Zhao
Journal:  AJR Am J Roentgenol       Date:  2013-03       Impact factor: 3.959

7.  Age-Specific Sex Differences in Magnetic Resonance Imaging-Depicted Carotid Intraplaque Hemorrhage.

Authors:  Navneet Singh; Alan R Moody; Bowen Zhang; Isabella Kaminski; Kush Kapur; Stephanie Chiu; Pascal N Tyrrell
Journal:  Stroke       Date:  2017-07-13       Impact factor: 7.914

8.  Frequency-domain optical coherence tomography assessment of human carotid atherosclerosis using saline flush for blood clearance without balloon occlusion.

Authors:  C A Given; G F Attizzani; M R Jones; C N Ramsey; W H Brooks; M A Costa; H G Bezerra
Journal:  AJNR Am J Neuroradiol       Date:  2013-02-07       Impact factor: 3.825

9.  Association between Intracranial Atherosclerotic Calcium Burden and Angiographic Luminal Stenosis Measurements.

Authors:  H Baradaran; P Patel; G Gialdini; A Giambrone; M P Lerario; B B Navi; J K Min; C Iadecola; H Kamel; A Gupta
Journal:  AJNR Am J Neuroradiol       Date:  2017-07-20       Impact factor: 3.825

Review 10.  Susceptibility-weighted imaging: current status and future directions.

Authors:  Saifeng Liu; Sagar Buch; Yongsheng Chen; Hyun-Seok Choi; Yongming Dai; Charbel Habib; Jiani Hu; Joon-Yong Jung; Yu Luo; David Utriainen; Meiyun Wang; Dongmei Wu; Shuang Xia; E Mark Haacke
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

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