High-intensity signals in coronary plaques on noncontrast T1-weighted magnetic resonance imaging as a novel determinant of coronary events

Teruo Noguchi, Tomohiro Kawasaki, Atsushi Tanaka, Satoshi Yasuda, Yoichi Goto, Masaharu Ishihara, Kunihiro Nishimura, Yoshihiro Miyamoto, Koichi Node, Nobuhiko Koga

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133 Citations (Scopus)

Abstract

Objectives The aim of this study was to determine whether coronary high-intensity plaques (HIPs) visualized by noncontrast T1-weighted imaging can predict future coronary events. Background Coronary HIPs are associated with characteristics of vulnerable plaques, including positive remodeling, lower Hounsfield units, and ultrasound attenuation. However, it remains unclear whether the presence of HIPs is associated with increased risk for coronary events. Methods The signal intensity of coronary plaques was prospectively examined in 568 patients with suspected or known coronary artery disease (CAD) who underwent noncontrast T1-weighted imaging to determine the plaque-to-myocardium signal intensity ratio (PMR). Results During the follow-up period (median 55 months), coronary events were observed in 55 patients. Receiver-operating characteristic curve analysis identified a PMR of 1.4 as the optimal cutoff for predicting prognosis. Multivariate Cox regression analysis identified the presence of plaques with PMRs ≥1.4 as the significant independent predictor of coronary events (hazard ratio: 3.96; 95% confidence interval: 1.92 to 8.17; p < 0.001) compared with the presence of CAD (hazard ratio: 3.56; 95% confidence interval: 1.76 to 7.20; p < 0.001) and other traditional risk factors. Among the 4 groups based on PMR cutoff and the presence of CAD, coronary event-free survival was lowest in the group with PMRs ≥1.4 and CAD and highest in the group with PMRs <1.4 but no CAD. Importantly, the group with PMRs ≥1.4 and no CAD had an intermediate rate of coronary events, similar to the group with PMRs <1.4 and CAD. Conclusions HIPs identified in a noninvasive, quantitative manner are significantly associated with coronary events and may thus represent a novel predictive factor.

Original languageEnglish
Pages (from-to)989-999
Number of pages11
JournalJournal of the American College of Cardiology
Volume63
Issue number10
DOIs
Publication statusPublished - 2014 Mar 18

Keywords

  • coronary disease
  • magnetic resonance imaging
  • plaque
  • prognosis

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