Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland.
Eur Radiol. 2020 Jan;30(1):425-431. doi: 10.1007/s00330-019-06336-z. Epub 2019 Jul 22.
To assess the capability of a newly developed material decomposition method from contrast-enhanced dual-energy CT images, aiming to better visualize the aortic wall and aortic intramural hematoma (IMH), compared with true non-contrast (TNC) CT.
Twenty-two patients (11 women; mean age, 61 ± 20 years) with acute chest pain underwent 25 dual-layer non-contrast and contrast-enhanced CT. CT-angiography images were retrospectively processed using two-material decomposition analysis, where we defined the first material as the content of a region of interest placed in the ascending aorta for each patient, and the second material as water. Two independent radiologists assessed the images from the second material termed "dark-blood" images and the TNC images regarding contrast-to-noise ratio (CNR) between the wall and the lumen, diagnostic quality regarding the presence of aortic wall thickening, and the inner/outer vessel wall conspicuity.
Diagnostic quality scores in normal aortic segments were 0.9 ± 0.3 and 2.7 ± 0.6 (p < 0.001) and wall conspicuity scores were 0.7 ± 0.5 and 1.8 ± 0.3 (p < 0.001) on TNC and dark-blood images, respectively. In aortic segments with IMH, diagnostic quality scores were 1.7 ± 0.5 and 2.4 ± 0.6 (p < 0.001) and wall conspicuity scores were 0.7 ± 0.7 and 1.8 ± 0.3 (p < 0.001) on TNC and dark-blood images, respectively. In normal aortic segments, CNRs were 0.3 ± 0.2 and 2.8 ± 0.9 on TNC and dark-blood images, respectively (p < 0.001). In aortic segments with IMH, CNRs were 0.3 ± 0.2 and 4.0 ± 1.0 on TNC and dark-blood images, respectively (p < 0.001).
Compared with true non-contrast CT, dark-blood material decomposition maps enhance quantitative and qualitative image quality for the assessment of normal aortic wall and IMH.
• Current dual-energy CT-angiography provides virtual non-contrast and bright-blood images. • Dark-blood images represent a new way to assess the vascular wall structure with dual-energy CT and can improve the lumen-to-wall contrast compared with true non-contrast CT. • This dual-energy CT material decomposition method is likely to improve contrast resolution in other applications as well, taking advantage of the high spatial resolution of CT.
评估一种新的对比增强双能 CT 图像物质分解方法的能力,旨在与真正的非对比(TNC)CT 相比,更好地可视化主动脉壁和主动脉壁内血肿(IMH)。
22 例(女性 11 例;平均年龄 61±20 岁)急性胸痛患者接受 25 例双层非对比和对比增强 CT 检查。回顾性地使用双物质分解分析处理 CT 血管造影图像,其中我们将第一物质定义为每个患者放置在升主动脉中的感兴趣区域的内容,第二物质定义为水。两位独立的放射科医生评估了来自第二物质的图像,称为“暗血”图像,并评估了 TNC 图像的壁与管腔之间的对比噪声比(CNR)、存在主动脉壁增厚的诊断质量以及内/外壁可视性。
在 TNC 和暗血图像上,正常主动脉节段的诊断质量评分分别为 0.9±0.3 和 2.7±0.6(p<0.001),壁显影评分分别为 0.7±0.5 和 1.8±0.3(p<0.001)。在有 IMH 的主动脉节段中,TNC 和暗血图像上的诊断质量评分分别为 1.7±0.5 和 2.4±0.6(p<0.001),壁显影评分分别为 0.7±0.7 和 1.8±0.3(p<0.001)。在正常主动脉节段中,TNC 和暗血图像上的 CNR 分别为 0.3±0.2 和 2.8±0.9(p<0.001)。在有 IMH 的主动脉节段中,TNC 和暗血图像上的 CNR 分别为 0.3±0.2 和 4.0±1.0(p<0.001)。
与真正的非对比 CT 相比,暗血物质分解图增强了正常主动脉壁和 IMH 的定量和定性图像质量。
• 目前的双能 CT 血管造影提供虚拟非对比和亮血图像。
• 暗血图像代表了一种利用双能 CT 评估血管壁结构的新方法,与真正的非对比 CT 相比,它可以提高管腔与壁之间的对比度。
• 这种双能 CT 物质分解方法还有望利用 CT 的高空间分辨率在其他应用中提高对比度分辨率。