Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Chin J Cancer Res. 2014 Aug;26(4):437-43. doi: 10.3978/j.issn.1000-9604.2014.08.15.
To explore whether single and fused monochromatic images can improve liver tumor detection and delineation by single source dual energy CT (ssDECT) in patients with hepatocellular carcinoma (HCC) during arterial phase.
Fifty-seven patients with HCC who underwent ssDECT scanning at Beijing Cancer Hospital were enrolled retrospectively. Twenty-one sets of monochromatic images from 40 to 140 keV were reconstructed at 5 keV intervals in arterial phase. The optimal contrast-noise ratio (CNR) monochromatic images of the liver tumor and the lowest-noise monochromatic images were selected for image fusion. We evaluated the image quality of the optimal-CNR monochromatic images, the lowest-noise monochromatic images and the fused monochromatic images, respectively. The evaluation indicators included the spatial resolution of the anatomical structure, the noise level, the contrast and CNR of the tumor.
In arterial phase, the anatomical structure of the liver can be displayed most clearly in the 65-keV monochromatic images, with the lowest image noise. The optimal-CNR monochromatic images of HCC tumor were 50-keV monochromatic images in which the internal structural features of the liver tumors were displayed most clearly and meticulously. For tumor detection, the fused monochromatic images and the 50-keV monochromatic images had similar performances, and were more sensitive than 65-keV monochromatic images.
We achieved good arterial phase images by fusing the optimal-CNR monochromatic images of the HCC tumor and the lowest-noise monochromatic images. The fused images displayed liver tumors and anatomical structures more clearly, which is potentially helpful for identifying more and smaller HCC tumors.
探讨单源双能 CT(ssDECT)在动脉期能否通过单能量和融合图像提高肝细胞癌(HCC)患者肝肿瘤的检出和勾画。
回顾性分析北京肿瘤医院 57 例 HCC 患者的 ssDECT 扫描资料,在动脉期以 5keV 间隔重建 40keV-140keV 的 21 组单能量图像,选择肝肿瘤最佳对比噪声比(CNR)和最低噪声单能量图像进行图像融合,分别对最佳 CNR 单能量图像、最低噪声单能量图像和融合单能量图像的图像质量进行评估,评估指标包括解剖结构的空间分辨率、噪声水平、肿瘤对比度和 CNR。
动脉期,65keV 单能量图像可最清晰地显示肝脏解剖结构,噪声最低;50keV 单能量图像可最清晰、细致地显示 HCC 肿瘤的最佳 CNR 图像,肝脏肿瘤的内部结构特征;在肿瘤检出方面,融合单能量图像和 50keV 单能量图像的性能相似,均优于 65keV 单能量图像。
融合 HCC 肿瘤的最佳 CNR 单能量图像和最低噪声单能量图像可获得良好的动脉期图像,融合图像显示肝肿瘤和解剖结构更清晰,有助于识别更多和更小的 HCC 肿瘤。