Hino Takuya, Kamitani Takeshi, Sagiyama Koji, Yamasaki Yuzo, Matsuura Yuko, Tsutsui Soichiro, Sakai Yuki, Furuyama Tadashi, Yabuuchi Hidetake
Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan.
Jpn J Radiol. 2020 Jul;38(7):658-665. doi: 10.1007/s11604-020-00943-3. Epub 2020 Mar 13.
To evaluate the detectability of AKA on aortic computed tomography angiography (CTA) using ultra-high-resolution computed tomography (UHRCT).
Twenty-eight patients were enrolled. They underwent aortic CTA with UHRCT (UHRCTA) and had previously undergone aortic conventional CTA (CCTA). The injection protocol of UHRCTA was the same as that of CCTA. The bolus tracking technique was used. UHRCTA images were reconstructed with adaptive iterative dose reduction (strong) and with forward-projected model-based iterative reconstruction solution. The matrix size and slice thickness on UHRCT were 1024 and 0.25 mm, respectively, and those on conventional CT were 512 and 0.5 or 0.67 mm, respectively. The UHRCTA and CCTA images were visually compared by using four scales. A score of 4 or 3 indicated that the AKA was assessable. In this instance, the contrast-to-noise ratios of each UHRCTA were measured. The exposure dose and signal-to-noise ratios were also investigated.
The AKA visualization scores obtained with UHRCTA with forward-projected model-based iterative reconstruction solution were significantly higher than those with adaptive iterative dose reduction (p = 0.018) and CCTA (p = 0.0024).
UHRCT can contribute to the better visualization of the AKA on aortic CTA.
使用超高分辨率计算机断层扫描（UHRCT）评估主动脉计算机断层血管造影（CTA）上主动脉弓部粥样硬化斑块（AKA）的可检测性。
纳入28例患者。他们接受了UHRCT的主动脉CTA（UHRCTA）检查，并且之前已经接受过主动脉传统CTA（CCTA）检查。UHRCTA的注射方案与CCTA相同。采用团注追踪技术。UHRCTA图像采用自适应迭代剂量降低（强）和基于前向投影模型的迭代重建算法进行重建。UHRCT上的矩阵大小和层厚分别为1024和0.25mm，传统CT上的矩阵大小和层厚分别为512和0.5或0.67mm。使用四个等级对UHRCTA和CCTA图像进行视觉比较。评分为4或3表示AKA可评估。在这种情况下，测量每个UHRCTA的对比噪声比。还研究了辐射剂量和信噪比。
基于前向投影模型的迭代重建算法的UHRCTA获得的AKA可视化评分显著高于自适应迭代剂量降低（p = 0.018）和CCTA（p = 0.0024）。
UHRCT有助于在主动脉CTA上更好地显示AKA。
