Literature DB >> 25245415

Clinical factors associated with high-risk carotid plaque features as assessed by magnetic resonance imaging in patients with established vascular disease (from the AIM-HIGH Study).

Xue-Qiao Zhao1, Thomas S Hatsukami2, Daniel S Hippe3, Jie Sun3, Niranjan Balu3, Daniel A Isquith4, John R Crouse5, Todd Anderson6, John Huston7, Nayak Polissar8, Kevin O'Brien4, Chun Yuan3.   

Abstract

Association between clinical factors and high-risk plaque features, such as, thin or ruptured cap, intraplaque hemorrhage, presence of lipid-rich necrotic core (LRNC), and increased LRNC volume as assessed by magnetic resonance imaging (MRI), was examined in patients with established vascular disease in the Atherothrombosis Intervention in Metabolic Syndrome With Low HDL/High Triglycerides (AIM-HIGH) trial. A total of 214 subjects underwent carotid MRI and had acceptable image quality for assessment of plaque burden, tissue contents, and MRI-modified American Heart Association lesion type by a core laboratory. We found that 77% of subjects had carotid plaques, 52% had lipid-containing plaques, and 11% had advanced American Heart Association type-VI lesions with possible surface defect, intraplaque hemorrhage, or mural thrombus. Type-VI lesions were associated with older age (odds ratio [OR] = 2.6 per 5 years increase, p <0.001). After adjusting for age, these lesions were associated with history of cerebrovascular disease (OR = 4.1, p = 0.01), higher levels of lipoprotein(a) (OR = 2.0 per 1 SD increase, p = 0.02), and larger percent wall volume (PWV [OR = 4.6 per 1 SD increase, p <0.001]) but, were negatively associated with metabolic syndrome (OR = 0.2, p = 0.02). Presence of LRNC was associated with the male gender (OR = 3.2, p = 0.02) and PWV (OR = 3.8 per 1 SD, p <0.001); however, it was negatively associated with diabetes (OR = 0.4, p = 0.02) and high-density lipoprotein cholesterol levels (OR = 0.7 per 1 SD, p = 0.02). Increased percent LRNC was associated with PWV (regression coefficient = 0.36, p <0.001) and negatively associated with ApoA1 levels (regression coefficient = -0.20, p = 0.03). In conclusion, older age, male gender, history of cerebrovascular disease, larger plaque burden, higher lipoprotein(a), and lower high-density lipoprotein cholesterol or ApoA1 level have statistically significant associations with high-risk plaque features. Metabolic syndrome and diabetes showed negative associations in this population.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25245415      PMCID: PMC4195846          DOI: 10.1016/j.amjcard.2014.08.001

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  26 in total

1.  Association of cholesterol subfractions and carotid lipid core measured by MRI.

Authors:  Milind Y Desai; Annabelle Rodriguez; Bruce A Wasserman; Gary Gerstenblith; Sachin Agarwal; Margene Kennedy; David A Bluemke; João A C Lima
Journal:  Arterioscler Thromb Vasc Biol       Date:  2005-06       Impact factor: 8.311

2.  Intra- and interreader reproducibility of magnetic resonance imaging for quantifying the lipid-rich necrotic core is improved with gadolinium contrast enhancement.

Authors:  Norihide Takaya; Jianming Cai; Marina S Ferguson; Vasily L Yarnykh; Baocheng Chu; Tobias Saam; Nayak L Polissar; Jane Sherwood; Ricardo C Cury; Robert J Anders; Kay O Broschat; Denise Hinton; Karen L Furie; Thomas S Hatsukami; Chun Yuan
Journal:  J Magn Reson Imaging       Date:  2006-07       Impact factor: 4.813

3.  Carotid plaque composition differs between ethno-racial groups: an MRI pilot study comparing mainland Chinese and American Caucasian patients.

Authors:  T Saam; J M Cai; Y Q Cai; N Y An; A Kampschulte; D Xu; W S Kerwin; N Takaya; N L Polissar; T S Hatsukami; C Yuan
Journal:  Arterioscler Thromb Vasc Biol       Date:  2005-01-13       Impact factor: 8.311

4.  Detection of intraplaque hemorrhage by magnetic resonance imaging in symptomatic patients with mild to moderate carotid stenosis predicts recurrent neurological events.

Authors:  Nishath Altaf; Lucy Daniels; Paul S Morgan; Dorothee Auer; Shane T MacSweeney; Alan R Moody; John R Gladman
Journal:  J Vasc Surg       Date:  2008-02       Impact factor: 4.268

5.  Carotid plaque morphology and composition: initial comparison between 1.5- and 3.0-T magnetic field strengths.

Authors:  Hunter R Underhill; Vasily L Yarnykh; Thomas S Hatsukami; Jinnan Wang; Niranjan Balu; Cecil E Hayes; Minako Oikawa; Wei Yu; Dongxiang Xu; Baocheng Chu; Bradley T Wyman; Nayak L Polissar; Chun Yuan
Journal:  Radiology       Date:  2008-06-23       Impact factor: 11.105

6.  Risk factor associations with the presence of a lipid core in carotid plaque of asymptomatic individuals using high-resolution MRI: the multi-ethnic study of atherosclerosis (MESA).

Authors:  Bruce A Wasserman; A Richey Sharrett; Shenghan Lai; Antoinette S Gomes; Mary Cushman; Aaron R Folsom; Diane E Bild; Richard A Kronmal; Shantanu Sinha; David A Bluemke
Journal:  Stroke       Date:  2008-01-03       Impact factor: 7.914

7.  Moderate carotid artery stenosis: MR imaging-depicted intraplaque hemorrhage predicts risk of cerebrovascular ischemic events in asymptomatic men.

Authors:  Navneet Singh; Alan R Moody; David J Gladstone; General Leung; Radhakrishnan Ravikumar; James Zhan; Robert Maggisano
Journal:  Radiology       Date:  2009-06-09       Impact factor: 11.105

8.  Association between carotid plaque characteristics and subsequent ischemic cerebrovascular events: a prospective assessment with MRI--initial results.

Authors:  Norihide Takaya; Chun Yuan; Baocheng Chu; Tobias Saam; Hunter Underhill; Jianming Cai; Nam Tran; Nayak L Polissar; Carol Isaac; Marina S Ferguson; Gwenn A Garden; Steven C Cramer; Kenneth R Maravilla; Beverly Hashimoto; Thomas S Hatsukami
Journal:  Stroke       Date:  2006-02-09       Impact factor: 7.914

9.  Correlates of carotid plaque presence and composition as measured by MRI: the Atherosclerosis Risk in Communities Study.

Authors:  Lynne Wagenknecht; Bruce Wasserman; Lloyd Chambless; Josef Coresh; Aaron Folsom; Thomas Mosley; Christie Ballantyne; Richey Sharrett; Eric Boerwinkle
Journal:  Circ Cardiovasc Imaging       Date:  2009-05-11       Impact factor: 7.792

10.  Association of high-density lipoprotein levels and carotid atherosclerotic plaque characteristics by magnetic resonance imaging.

Authors:  Binh An P Phan; Baocheng Chu; Nayak Polissar; Thomas S Hatsukami; Chun Yuan; Xue-Qiao Zhao
Journal:  Int J Cardiovasc Imaging       Date:  2006-11-04       Impact factor: 2.316

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  12 in total

1.  Lp(a) (Lipoprotein(a)) Levels Predict Progression of Carotid Atherosclerosis in Subjects With Atherosclerotic Cardiovascular Disease on Intensive Lipid Therapy: An Analysis of the AIM-HIGH (Atherothrombosis Intervention in Metabolic Syndrome With Low HDL/High Triglycerides: Impact on Global Health Outcomes) Carotid Magnetic Resonance Imaging Substudy-Brief Report.

Authors:  Daniel S Hippe; Binh An P Phan; Jie Sun; Daniel A Isquith; Kevin D O'Brien; John R Crouse; Todd Anderson; John Huston; Santica M Marcovina; Thomas S Hatsukami; Chun Yuan; Xue-Qiao Zhao
Journal:  Arterioscler Thromb Vasc Biol       Date:  2018-01-04       Impact factor: 8.311

2.  Carotid Plaque Lipid Content and Fibrous Cap Status Predict Systemic CV Outcomes: The MRI Substudy in AIM-HIGH.

Authors:  Jie Sun; Xue-Qiao Zhao; Niranjan Balu; Moni B Neradilek; Daniel A Isquith; Kiyofumi Yamada; Gádor Cantón; John R Crouse; Todd J Anderson; John Huston; Kevin O'Brien; Daniel S Hippe; Nayak L Polissar; Chun Yuan; Thomas S Hatsukami
Journal:  JACC Cardiovasc Imaging       Date:  2017-03

Review 3.  Carotid Vessel Wall Imaging on CTA.

Authors:  H Baradaran; A Gupta
Journal:  AJNR Am J Neuroradiol       Date:  2020-02-06       Impact factor: 3.825

4.  Visualization of carotid vessel wall and atherosclerotic plaque: T1-SPACE vs. compressed sensing T1-SPACE.

Authors:  Sachi Okuchi; Yasutaka Fushimi; Tomohisa Okada; Akira Yamamoto; Tsutomu Okada; Takayuki Kikuchi; Kazumichi Yoshida; Susumu Miyamoto; Kaori Togashi
Journal:  Eur Radiol       Date:  2018-12-06       Impact factor: 5.315

5.  In vivo semi-automatic segmentation of multicontrast cardiovascular magnetic resonance for prospective cohort studies on plaque tissue composition: initial experience.

Authors:  Taku Yoneyama; Jie Sun; Daniel S Hippe; Niranjan Balu; Dongxiang Xu; William S Kerwin; Thomas S Hatsukami; Chun Yuan
Journal:  Int J Cardiovasc Imaging       Date:  2015-07-14       Impact factor: 2.357

6.  CT angiography-based radiomics as a tool for carotid plaque characterization: a pilot study.

Authors:  Savino Cilla; Gabriella Macchia; Jacopo Lenkowicz; Elena H Tran; Antonio Pierro; Lella Petrella; Mara Fanelli; Celestino Sardu; Alessia Re; Luca Boldrini; Luca Indovina; Carlo Maria De Filippo; Eugenio Caradonna; Francesco Deodato; Massimo Massetti; Vincenzo Valentini; Pietro Modugno
Journal:  Radiol Med       Date:  2022-06-09       Impact factor: 6.313

7.  Optimal Prediction of Carotid Intraplaque Hemorrhage Using Clinical and Lumen Imaging Markers.

Authors:  M S McLaughlin; P J Hinckley; S M Treiman; S-E Kim; G J Stoddard; D L Parker; G S Treiman; J S McNally
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-03       Impact factor: 3.825

8.  Magnetic resonance angiography detection of abnormal carotid artery plaque in patients with cryptogenic stroke.

Authors:  Ajay Gupta; Gino Gialdini; Michael P Lerario; Hediyeh Baradaran; Ashley Giambrone; Babak B Navi; Randolph S Marshall; Costantino Iadecola; Hooman Kamel
Journal:  J Am Heart Assoc       Date:  2015-06-15       Impact factor: 5.501

9.  Recurrent Embolic Strokes of Undetermined Source in a Patient with Extreme Lipoprotein(a) Levels.

Authors:  Zachary Bulwa; Audrey Kim; Karandeep Singh; Alexander Kantorovich; Faten Suhail
Journal:  Front Neurol       Date:  2016-08-31       Impact factor: 4.003

Review 10.  Magnetic Resonance Imaging Detection of Intraplaque Hemorrhage.

Authors:  J Scott McNally; Seong-Eun Kim; Jason Mendes; J Rock Hadley; Akihiko Sakata; Adam H De Havenon; Gerald S Treiman; Dennis L Parker
Journal:  Magn Reson Insights       Date:  2017-03-07
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