Literature DB >> 11687667

Carotid atherosclerotic plaque: noninvasive MR characterization and identification of vulnerable lesions.

C Yuan1, L M Mitsumori, K W Beach, K R Maravilla.   

Abstract

Measurement of vessel stenosis by using ultrasonography or angiography remains the principal method for determining the severity of carotid atherosclerosis and the need for endarterectomy. The ipsilateral stroke rate, however--even in patients with severely stenotic vessels--is relatively low, which suggests that the amount of luminal narrowing may not represent the optimal means of assessing clinical risk. As a result, some patients may undergo unnecessary surgery. Improved imaging techniques are, therefore, needed to enable reliable identification of high-risk plaques that lead to cerebrovascular events. High-spatial-resolution magnetic resonance (MR) imaging has been described as one promising modality for this purpose, because the technique allows direct visualization of diseased vessel wall and can be used to characterize the morphology of individual atherosclerotic carotid plaques. The purpose of this report is to review the current state of carotid plaque MR imaging and the use of carotid MR to evaluate plaque morphology and composition.

Entities:  

Mesh:

Year:  2001        PMID: 11687667     DOI: 10.1148/radiol.2212001612

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  116 in total

1.  3D critical plaque wall stress is a better predictor of carotid plaque rupture sites than flow shear stress: An in vivo MRI-based 3D FSI study.

Authors:  Zhongzhao Teng; Gador Canton; Chun Yuan; Marina Ferguson; Chun Yang; Xueying Huang; Jie Zheng; Pamela K Woodard; Dalin Tang
Journal:  J Biomech Eng       Date:  2010-03       Impact factor: 2.097

Review 2.  Understanding the genetics of coronary artery disease through the lens of noninvasive imaging.

Authors:  Eunice Yang; Jose D Vargas; David A Bluemke
Journal:  Expert Rev Cardiovasc Ther       Date:  2012-01

Review 3.  Imaging of carotid artery disease: from luminology to function?

Authors:  J H Gillard
Journal:  Neuroradiology       Date:  2003-09-04       Impact factor: 2.804

4.  MRI-derived measurements of fibrous-cap and lipid-core thickness: the potential for identifying vulnerable carotid plaques in vivo.

Authors:  Rikin A Trivedi; Jean-Marie U-King-Im; Martin J Graves; Jo Horsley; Martin Goddard; Peter J Kirkpatrick; Jonathan H Gillard
Journal:  Neuroradiology       Date:  2004-09       Impact factor: 2.804

5.  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

6.  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

7.  Fast plaque burden assessment of the femoral artery using 3D black-blood MRI and automated segmentation.

Authors:  Bernard Chiu; Jie Sun; Xihai Zhao; Jinnan Wang; Niranjan Balu; Jiachang Chi; Jianrong Xu; Chun Yuan; William S Kerwin
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

8.  Urgent open embolectomy for cardioembolic cervical internal carotid artery occlusion.

Authors:  Takahiro Murata; Tetsuyoshi Horiuchi; Junpei Nitta; Keiichi Sakai; Toshihiro Ogiwara; Satoshi Kobayashi; Kazuhiro Hongo
Journal:  Neurosurg Rev       Date:  2010-03-20       Impact factor: 3.042

9.  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

10.  Meshless Generalized Finite Difference Method and Human Carotid Atherosclerotic Plaque Progression Simulation Using Multi-Year MRI Patient-Tracking Data.

Authors:  Chun Yang; Dalin Tang; Chun Yuan; William Kerwin; Fei Liu; Gador Canton; Thomas S Hatsukami; Satya Atluri
Journal:  Comput Model Eng Sci       Date:  2008       Impact factor: 1.593

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