Implication of Plaque Color Classification for Assessing Plaque VulnerabilityA Coronary Angioscopy and Optical Coherence Tomography Investigation
Takashi Kubo, MD, PhD,
Toshio Imanishi, MD, PhD,
Shigeho Takarada, MD, PhD,
Akio Kuroi, MD,
Satoshi Ueno, MD,
Takashi Yamano, MD,
Takashi Tanimoto, MD,
Yoshiki Matsuo, MD, PhD,
Takashi Masho, MD,
Hironori Kitabata, MD,
Atsushi Tanaka, MD, PhD,
Nobuo Nakamura, MD,
Masato Mizukoshi, MD, PhD,
Yoshiaki Tomobuchi, MD, PhD,
Takashi Akasaka, MD, PhD*
Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama, Japan.
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Figure 1 Corresponding Images of OCT and Coronary Angioscopy
In the angioscopic images, plaque color was graded as white (A-1), light yellow (B-1), yellow (C-1), or intensive yellow (D-1). A lipid pool (*) was characterized by a signal-poor region, and it was semiquantified as the number of involved quadrants on the cross-sectional optical coherence tomography (OCT) image (A-2, B-2, C-2, D-2). The fibrous cap was identified as a signal-rich region between the coronary artery lumen and inner border of lipid pool in the OCT image, and its thickness was measured at the thinnest part (A-3, B-3, C-3, D-3; arrows).
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Figure 2 Relation Between Plaque Color and Fibrous Cap Thickness
The plaque color was graded as white, light yellow, yellow, or intensive yellow by coronary angioscopy. The fibrous cap thickness was estimated by optical coherence tomography. There was a significant negative correlation between yellow color intensity and fibrous cap thickness in Spearman rank-order correlation analysis (p < 0.0001).
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Figure 3 Relation Between Plaque Color and Lipid Size
The plaque color was graded as white, light yellow, yellow, or intensive yellow by coronary angioscopy. The lipid size was semiquantified as the number of involved quadrants on the cross-sectional optical coherence tomography image. There was a significant negative correlation between the 2 variables in Spearman rank-order correlation analysis. (p < 0.0001).
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