Noninvasive Coronary Plaque Imaging

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Author(s)

    • Noguchi Teruo
    • Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
    • Yasuda Satoshi
    • Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
    • Nakao Kazuhiro
    • Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
    • Asaumi Yasuhide
    • Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
    • Morita Yoshiaki
    • Department of Radiology, National Cerebral and Cardiovascular Center
    • Otsuka Fumiyuki
    • Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
    • Kataoka Yu
    • Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
    • Hosoda Hayato
    • Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
    • Miura Hiroyuki
    • Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
    • Fukuda Tetsuya
    • Department of Radiology, National Cerebral and Cardiovascular Center

Abstract

<p>Early identification of high-risk or vulnerable atherosclerotic plaques prone to rupture and performing preemptive therapy prior to catastrophic cardiovascular events are optimal goals of plaque imaging. Despite the advances in imaging modalities to identify vulnerable characteristics, the predictive value of the imaging techniques in the clinical setting is still developing. In this regard, reliable and high-sensitive imaging modalities identifying vulnerable plaque characters that may lead to future cardiovascular events will be useful. In this review article, we describe a current non-invasive plaque imaging technique to identify high-risk coronary plaque features.</p>

Journal

  • Journal of Atherosclerosis and Thrombosis

    Journal of Atherosclerosis and Thrombosis 25(4), 281-293, 2018

    Japan Atherosclerosis Society

Codes

  • NII Article ID (NAID)
    130006602384
  • Text Lang
    ENG
  • ISSN
    1340-3478
  • Data Source
    J-STAGE 
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