Assessment of carotid plaque composition using fast-kV switching dual-energy CT with gemstone detector: comparison with extracorporeal and virtual histology-intravascular ultrasound

作者：Shinohara Yuki^*; Sakamoto Makoto; Kuya Keita; Kishimoto Junichi; Iwata Naoki; Ohta Yasutoshi; Fujii Shinya; Watanabe Takashi; Ogawa Toshihide

来源：Neuroradiology, 2015, 57(9): 889-895.

DOI：10.1007/s00234-015-1541-5

• Gemstone spectral imaging
• CT angiography
• Effective Z
• Carotid plaque
• Virtual histology-intravascular ultrasound

The present study compares the applicability of CT carotid plaque imaging using effective Z maps using gemstone spectral imaging (GSI) with that of conventional extracorporeal carotid ultrasound (US) and virtual histology-intravascular ultrasound (VH-IVUS).
We assessed stenosis in 31 carotid arteries of 30 patients. All patients underwent carotid CTA using GSI (Discovery CT750 HD, GE Healthcare). US and IVUS were examined with 25 and 8 vessels, respectively. We compared the effective Z values at noncalcified carotid plaque with the plaque components identified by US. We defined the plaque with low or low to iso intensity on US as vulnerable plaque and the plaque with iso, iso to high, and high intensity on US as stable plaque. We also performed visual assessment of color-coded effective Z maps in comparison with VH-IVUS and compared effective Z values with plaque components generated by VH-IVUS.
The effective Z values at noncalcified carotid plaque were significantly lower for a group with vulnerable plaque, than with stable plaque on US (p < 0.05). Receiver operating curve analysis showed that AUC of effective Z values was 0.882 concerning the differentiation of these two groups on US. The interpretation of color-coded effective Z maps was essentially compatible with that of VH-IVUS for carotid plaque in all vessels. Effective Z values at noncalcified plaque showed significant negative correlation with the areas of fibro-fatty components generated by VH-IVUS (rho = -0.874, p < 0.05).
Effective Z maps generated by GSI can detect vulnerable carotid plaque materials.

• 出版日期2015-9