Literature DB >> 20953294

MRI in the early identification and classification of high-risk atherosclerotic carotid plaques.

Thomas S Hatsukami1, Chun Yuan.   

Abstract

Stroke is a leading cause of mortality and long-term morbidity. As a means for stroke prevention, an estimated 99,000 carotid endarterectomy procedures were performed in the USA in 2006. Traditionally, the degree of luminal stenosis has been used as a marker of the stage of atherosclerosis and as an indication for surgical intervention. However, prospective clinical trials have shown that the majority of patients with a history of recent transient ischemic attack or stroke have mild-to-moderate carotid stenosis. Using stenosis criteria, many of these symptomatic individuals would be considered to have early-stage carotid atherosclerosis. It is evident that improved criteria are needed for identifying the high-risk carotid plaque across a range of stenoses. Histological studies have led to the hypothesis that plaques with larger lipid-rich necrotic cores, thin fibrous cap rupture, intraplaque hemorrhage, plaque neovasculature and vessel wall inflammation are characteristics of the high-risk, 'vulnerable plaque'. Despite the widespread consensus on the importance of these plaque features, testing the vulnerable plaque hypothesis in prospective clinical studies has been hindered by the lack of reliable imaging tools for in vivo plaque characterization. MRI has been shown to accurately identify key carotid plaque features, including the fibrous cap, lipid-rich necrotic core, intraplaque hemorrhage, neovasculature and vascular wall inflammation. Thus, MRI is a histologically validated technique that will permit prospective testing of the vulnerable plaque hypothesis. This article will provide a summary of the histological validation of carotid MRI, and highlight its application in prospective clinical studies aimed at early identification of the high-risk atherosclerotic carotid plaque.

Entities:  

Year:  2010        PMID: 20953294      PMCID: PMC2953811          DOI: 10.2217/iim.09.33

Source DB:  PubMed          Journal:  Imaging Med        ISSN: 1755-5191


  96 in total

1.  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

Review 2.  The vulnerable, or high-risk, atherosclerotic plaque: noninvasive MR imaging for characterization and assessment.

Authors:  Tobias Saam; Thomas S Hatsukami; Norihide Takaya; Baocheng Chu; Hunter Underhill; William S Kerwin; Jianming Cai; Marina S Ferguson; Chun Yuan
Journal:  Radiology       Date:  2007-07       Impact factor: 11.105

3.  Inflammation in carotid atherosclerotic plaque: a dynamic contrast-enhanced MR imaging study.

Authors:  William S Kerwin; Kevin D O'Brien; Marina S Ferguson; Nayak Polissar; Thomas S Hatsukami; Chun Yuan
Journal:  Radiology       Date:  2006-09-11       Impact factor: 11.105

4.  Natural history of asymptomatic carotid plaque. Five year follow-up study.

Authors:  L W O'Holleran; M M Kennelly; M McClurken; J M Johnson
Journal:  Am J Surg       Date:  1987-12       Impact factor: 2.565

5.  Ultrasonographic features of carotid plaque and the risk of subsequent neurologic deficits.

Authors:  A V Sterpetti; R D Schultz; R J Feldhaus; K L Davenport; M Richardson; C Farina; W J Hunter
Journal:  Surgery       Date:  1988-10       Impact factor: 3.982

Review 6.  Characterization of atherosclerotic plaques by magnetic resonance imaging.

Authors:  Z A Fayad; V Fuster
Journal:  Ann N Y Acad Sci       Date:  2000-05       Impact factor: 5.691

7.  (18)Fluorodeoxyglucose positron emission tomography imaging of atherosclerotic plaque inflammation is highly reproducible: implications for atherosclerosis therapy trials.

Authors:  James H F Rudd; Kelly S Myers; Sameer Bansilal; Josef Machac; Ash Rafique; Michael Farkouh; Valentin Fuster; Zahi A Fayad
Journal:  J Am Coll Cardiol       Date:  2007-08-13       Impact factor: 24.094

8.  Inhibition of vascular endothelial growth factor-mediated neointima progression with angiostatin or paclitaxel.

Authors:  Francesca L Celletti; Jacob M Waugh; Philippe G Amabile; Ed Y Kao; Sara Boroumand; Michael D Dake
Journal:  J Vasc Interv Radiol       Date:  2002-07       Impact factor: 3.464

9.  Prevalence of American Heart Association type VI carotid atherosclerotic lesions identified by magnetic resonance imaging for different levels of stenosis as measured by duplex ultrasound.

Authors:  Tobias Saam; Hunter R Underhill; Baocheng Chu; Norihide Takaya; Jianming Cai; Nayak L Polissar; Chun Yuan; Thomas S Hatsukami
Journal:  J Am Coll Cardiol       Date:  2008-03-11       Impact factor: 24.094

10.  Degree of carotid plaque calcification in relation to symptomatic outcome and plaque inflammation.

Authors:  Wael E Shaalan; Hongwei Cheng; Bruce Gewertz; James F McKinsey; Lewis B Schwartz; Daniel Katz; Dindcai Cao; Tina Desai; Seymour Glagov; Hisham S Bassiouny
Journal:  J Vasc Surg       Date:  2004-08       Impact factor: 4.268

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  17 in total

1.  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

2.  Comparison of Acoustic Radiation Force Impulse Imaging Derived Carotid Plaque Stiffness With Spatially Registered MRI Determined Composition.

Authors:  Joshua R Doherty; Jeremy J Dahl; Peter G Kranz; Nada El Husseini; Hing-Chiu Chang; Nan-kuei Chen; Jason D Allen; Katherine L Ham; Gregg E Trahey
Journal:  IEEE Trans Med Imaging       Date:  2015-05-13       Impact factor: 10.048

3.  Association between Snoring and High-Risk Carotid Plaque Features.

Authors:  Erin M Kirkham; Thomas S Hatsukami; Susan R Heckbert; Jie Sun; Gador Canton; Chun Yuan; Edward M Weaver
Journal:  Otolaryngol Head Neck Surg       Date:  2017-07-11       Impact factor: 3.497

4.  Correlation between fissured fibrous cap and contrast enhancement: preliminary results with the use of CTA and histologic validation.

Authors:  L Saba; E Tamponi; E Raz; L Lai; R Montisci; M Piga; G Faa
Journal:  AJNR Am J Neuroradiol       Date:  2013-10-24       Impact factor: 3.825

5.  Carotid Plaque CTA Analysis in Symptomatic Subjects with Bilateral Intraparenchymal Hemorrhage: A Preliminary Analysis.

Authors:  L Saba; G Lanzino; P Lucatelli; F Lavra; R Sanfilippo; R Montisci; J S Suri; C Yuan
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-08       Impact factor: 3.825

6.  Acoustic radiation force impulse imaging of vulnerable plaques: a finite element method parametric analysis.

Authors:  Joshua R Doherty; Douglas M Dumont; Gregg E Trahey; Mark L Palmeri
Journal:  J Biomech       Date:  2012-10-31       Impact factor: 2.712

7.  Quantifying effect of intraplaque hemorrhage on critical plaque wall stress in human atherosclerotic plaques using three-dimensional fluid-structure interaction models.

Authors:  Xueying Huang; Chun Yang; Gador Canton; Marina Ferguson; Chun Yuan; Dalin Tang
Journal:  J Biomech Eng       Date:  2012-12       Impact factor: 2.097

8.  Spatio-temporal texture (SpTeT) for distinguishing vulnerable from stable atherosclerotic plaque on dynamic contrast enhancement (DCE) MRI in a rabbit model.

Authors:  Tao Wan; Anant Madabhushi; Alkystis Phinikaridou; James A Hamilton; Ning Hua; Tuan Pham; Jovanna Danagoulian; Ross Kleiman; Andrew J Buckler
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

9.  Optimal MR Plaque Imaging for Cervical Carotid Artery Stenosis in Predicting the Development of Microembolic Signals during Exposure of Carotid Arteries in Endarterectomy: Comparison of 4 T1-Weighted Imaging Techniques.

Authors:  Y Sato; K Ogasawara; S Narumi; M Sasaki; A Saito; E Tsushima; T Namba; M Kobayashi; K Yoshida; Y Terayama; A Ogawa
Journal:  AJNR Am J Neuroradiol       Date:  2016-02-04       Impact factor: 3.825

10.  Vessel Wall Thickening and Enhancement in High-Resolution Intracranial Vessel Wall Imaging: A Predictor of Future Ischemic Events in Moyamoya Disease.

Authors:  A Kathuveetil; P N Sylaja; S Senthilvelan; C Kesavadas; M Banerjee; B Jayanand Sudhir
Journal:  AJNR Am J Neuroradiol       Date:  2020-01-02       Impact factor: 3.825

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