Literature DB >> 21681073

Correlation of coronary plaque phenotype and carotid atherosclerotic plaque composition.

Qian Zhao1, Xihai Zhao, Zulong Cai, Feiyu Li, Chun Yuan, Jianming Cai.   

Abstract

INTRODUCTION: Studies have shown that atherosclerosis in coronary arteries is closely related to that in carotid arteries, but there are few investigations on the correlation between unstable plaques in these 2 vascular beds. The authors aim to investigate the correlation between coronary plaque phenotype and carotid plaque composition.
METHODS: Patients (n = 123) with suspected coronary artery disease underwent computed tomography angiography of coronary arteries. Magnetic resonance imaging of bilateral carotid arteries was performed within 2 weeks after computed tomography angiography. The plaque type in each coronary segment was analyzed. Coronary plaques were classified into 3 types: noncalcified, calcified and mixed. The total number of each plaque type was scored. Carotid plaque with calcification, lipid-rich necrotic core (LRNC) or intraplaque hemorrhage (IPH) in either carotid artery was defined as positive. Logistic regression analysis was used to determine the correlation between coronary plaque phenotype and carotid plaque composition. The area under the receiver-operating characteristic curve (AUC) was calculated.
RESULTS: There was a significant correlation between the mixed coronary plaque score and carotid IPH (odds ratio = 1.50, P < 0.05). The scores for all 3 types of the coronary plaque were significantly correlated with carotid LRNC and calcification. The mixed coronary plaque score had the highest value in predicting carotid IPH (AUC = 0.74). The calcified coronary plaque score showed the highest value in predicting carotid LRNC (AUC = 0.75) and calcification (AUC = 0.75).
CONCLUSION: There was significant correlation between coronary plaque phenotype and carotid plaque composition. A mixed coronary plaque may be suggestive of a high-risk carotid plaque.

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Year:  2011        PMID: 21681073     DOI: 10.1097/MAJ.0b013e31821caa88

Source DB:  PubMed          Journal:  Am J Med Sci        ISSN: 0002-9629            Impact factor:   2.378


  3 in total

1.  Identifying a high risk cardiovascular phenotype by carotid MRI-depicted intraplaque hemorrhage.

Authors:  Navneet Singh; Alan R Moody; Geneviéve Rochon-Terry; Alexander Kiss; Anna Zavodni
Journal:  Int J Cardiovasc Imaging       Date:  2013-04-28       Impact factor: 2.357

2.  Atherosclerotic Plaque Tissue: Noninvasive Quantitative Assessment of Characteristics with Software-aided Measurements from Conventional CT Angiography.

Authors:  Malachi Sheahan; Xiaonan Ma; David Paik; Nancy A Obuchowski; Samantha St Pierre; William P Newman; Guenevere Rae; Eric S Perlman; Michael Rosol; James C Keith; Andrew J Buckler
Journal:  Radiology       Date:  2017-08-31       Impact factor: 11.105

3.  Noninvasive Assessment of Stenotic Severity and Plaque Characteristics by Coronary CT Angiography in Patients Scheduled for Carotid Artery Revascularization.

Authors:  Meiko Hoshino; Hideki Kawai; Masayoshi Sarai; Akiyo Sadato; Motoharu Hayakawa; Sadako Motoyama; Yasuomi Nagahara; Keiichi Miyajima; Hiroshi Takahashi; Junnichi Ishii; Ichiro Nakahara; Yuichi Hirose; Yukio Ozaki
Journal:  J Atheroscler Thromb       Date:  2018-02-16       Impact factor: 4.928

  3 in total

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