Kessner Rivka, Sommer Jennifer, Große Hokamp Nils, Laukamp Kai R, Nayate Ameya
Department of Radiology, University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, OH, USA.
Department of Diagnostic Imaging, Sackler Faculty of Medicine, 26745Tel Aviv University, Ramat Aviv, Israel.
Acta Radiol. 2023 Feb;64(2):776-783. doi: 10.1177/02841851221093763. Epub 2022 May 3.
Prior studies focused on utilization of dual-energy computed tomography (DECT) to better detect intracranial pathology and to reduce artifacts. It is still unclear whether virtual non-contrast (VNC) images of DECT can replace true non-contrast (TNC) images.
To compare attenuation values and image quality of VNC images to TNC images of the brain, obtained using spectral detector CT (SDCT).
We retrospectively evaluated patients that underwent head CT with and without contrast material, on a SDCT scanner at our institution (n = 33). The attenuation values of different brain structures were obtained from TNC images, the conventional images of the post-contrast exams (n = 16) or the CT angiography (CTA) (n = 17), and the derived VNC images. In total, 591 regions of interest were obtained, including white and gray matter. Two neuroradiologists independently evaluated the image quality of the VNC and TNC images, using a 5-point Likert scale.
The mean difference between the attenuation values on the VNC versus the TNC images was <4 HU for almost all the structures. The difference reached statistical significance ( < 0.05) for the deep gray structures but not for the white matter. The image quality score of the TNC images was 5 in all the patients (excellent gray-white matter differentiation). The scores of the VNC images differed between post-contrast and CTA examinations, with means of 4.9 ± 0.3 (excellent) and 3.2 ± 0.4 (fair), respectively ( < 0.001).
Our results show minor differences between attenuation values of different brain structures on VNC versus TNC images of SDCT.
先前的研究聚焦于利用双能计算机断层扫描(DECT)来更好地检测颅内病变并减少伪影。DECT的虚拟非增强(VNC)图像是否能替代真正的非增强(TNC)图像仍不明确。
比较使用光谱探测器CT(SDCT)获得的大脑VNC图像与TNC图像的衰减值和图像质量。
我们回顾性评估了在本机构的SDCT扫描仪上接受头部CT检查(有或无对比剂)的患者(n = 33)。从TNC图像、对比剂增强后检查的常规图像(n = 16)或CT血管造影(CTA)图像(n = 17)以及衍生的VNC图像中获取不同脑结构的衰减值。总共获取了591个感兴趣区域,包括白质和灰质。两名神经放射科医生使用5分李克特量表独立评估VNC和TNC图像的质量。
几乎所有结构的VNC图像与TNC图像的衰减值平均差异<4 HU。深部灰质结构的差异具有统计学意义(<0.05),但白质结构无差异。所有患者的TNC图像质量评分为5分(灰白质分化良好)。VNC图像在对比剂增强后检查和CTA检查中的评分不同,平均值分别为4.9±0.3(优秀)和3.2±0.4(一般)(<0.001)。
我们的结果显示,SDCT的VNC图像与TNC图像上不同脑结构的衰减值存在微小差异。