Literature DB >> 15060318

Hemorrhage in the atherosclerotic carotid plaque: a high-resolution MRI study.

Baocheng Chu1, Annette Kampschulte, Marina S Ferguson, William S Kerwin, Vasily L Yarnykh, Kevin D O'Brien, Nayak L Polissar, Thomas S Hatsukami, Chun Yuan.   

Abstract

BACKGROUND AND
PURPOSE: High-resolution, multicontrast magnetic resonance imaging (MRI) has developed into an effective tool for the identification of carotid atherosclerotic plaque components, such as necrotic core, fibrous matrix, and hemorrhage/thrombus. Factors that may lead to plaque instability are lipid content, thin fibrous cap, and intraplaque hemorrhage. Determining the age of intraplaque hemorrhage can give insight to the history and current condition of the biologically active plaque. The aim of this study was to develop criteria for the identification of the stages of intraplaque hemorrhage using high-resolution MRI.
METHODS: Twenty-seven patients, scheduled for carotid endarterectomy (CEA), were imaged on a 1.5-T GE SIGNA scanner (sequences: 3-dimensional time of flight, double-inversion recovery, T1-weighted (T1W), PDW and T2W). Two readers, blinded to histology, reviewed MR images and grouped hemorrhage into fresh, recent, and old categories using a modified cerebral hemorrhage criteria. The CEA specimens were serially sectioned and graded as to presence and stage of hemorrhage.
RESULTS: Hemorrhage was histologically identified and staged in 145/189 (77%) of carotid artery plaque locations. MRI detected intraplaque hemorrhage with high sensitivity (90%) but moderate specificity (74%). Moderate agreement in classifying stages occurred between MRI and histology (Cohen kappa=0.7, 95% CI: 0.5 to 0.8 for reviewer 1 and 0.4, 95% CI: 0.2 to 0.6 for reviewer 2), with moderate agreement between the 2 MRI readers (kappa=0.4, 95% CI: 0.3 to 0.6).
CONCLUSIONS: Multicontrast MRI can detect and classify carotid intraplaque hemorrhage with high sensitivity and moderate specificity.

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Year:  2004        PMID: 15060318     DOI: 10.1161/01.STR.0000125856.25309.86

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


  137 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.  Automated versus manual in vivo segmentation of carotid plaque MRI.

Authors:  R van 't Klooster; O Naggara; R Marsico; J H C Reiber; J-F Meder; R J van der Geest; E Touzé; C Oppenheim
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-22       Impact factor: 3.825

3.  Carotid plaque signal differences among four kinds of T1-weighted magnetic resonance imaging techniques: a histopathological correlation study.

Authors:  Ayumi Saito; Makoto Sasaki; Kuniaki Ogasawara; Masakazu Kobayashi; Jiro Hitomi; Shinsuke Narumi; Hideki Ohba; Mao Yamaguchi; Kohsuke Kudo; Yasuo Terayama
Journal:  Neuroradiology       Date:  2012-03-17       Impact factor: 2.804

4.  High-resolution 3D arteriography of chronic total peripheral occlusions using a T1-W turbo spin-echo sequence with inner-volume imaging.

Authors:  Smita Sampath; Amish N Raval; Robert J Lederman; Elliot R McVeigh
Journal:  Magn Reson Med       Date:  2007-01       Impact factor: 4.668

5.  Crystal analyser-based X-ray phase contrast imaging in the dark field: implementation and evaluation using excised tissue specimens.

Authors:  Masami Ando; Naoki Sunaguchi; Yanlin Wu; Synho Do; Yongjin Sung; Abner Louissaint; Tetsuya Yuasa; Shu Ichihara; Rajiv Gupta
Journal:  Eur Radiol       Date:  2013-09-19       Impact factor: 5.315

6.  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

7.  Classification of coronary atherosclerotic plaques ex vivo with T1, T2, and ultrashort echo time CMR.

Authors:  Mihály Károlyi; Harald Seifarth; Gary Liew; Christopher L Schlett; Pál Maurovich-Horvat; Paul Stolzmann; Guangping Dai; Shuning Huang; Craig J Goergen; Masataka Nakano; Fumiyuki Otsuka; Renu Virmani; Udo Hoffmann; David E Sosnovik
Journal:  JACC Cardiovasc Imaging       Date:  2013-03-14

8.  Arterial remodeling in [corrected] subclinical carotid artery disease.

Authors:  Hunter R Underhill; Chun Yuan; Vasily L Yarnykh; Baocheng Chu; Minako Oikawa; Nayak L Polissar; Stephen M Schwartz; Gail P Jarvik; Thomas S Hatsukami
Journal:  JACC Cardiovasc Imaging       Date:  2009-12

9.  Magnetic Resonance Imaging and Clinical Factors Associated With Ischemic Stroke in Patients Suspected of Cervical Artery Dissection.

Authors:  J Scott McNally; Peter J Hinckley; Akihiko Sakata; Laura B Eisenmenger; Seong-Eun Kim; Adam H De Havenon; Edward P Quigley; Eli Iacob; Gerald S Treiman; Dennis L Parker
Journal:  Stroke       Date:  2018-10       Impact factor: 7.914

Review 10.  Magnetic [corrected] resonance imaging [corrected] features of the disruption-prone and the disrupted carotid plaque.

Authors:  Baocheng Chu; Marina S Ferguson; Huijun Chen; Daniel S Hippe; William S Kerwin; Gador Canton; Chun Yuan; Thomas S Hatsukami
Journal:  JACC Cardiovasc Imaging       Date:  2009-07
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