1 Department of Radiology, Hôpital Erasme, Université libre de Bruxelles, Rte de Lennik 808, B-1070 Brussels, Belgium.
2 Department of Pneumology, Hôpital Erasme, Université libre de Bruxelles, Brussels, Belgium.
AJR Am J Roentgenol. 2018 May;210(5):1042-1058. doi: 10.2214/AJR.17.18248. Epub 2018 Mar 12.
The purpose of this study is to investigate the magnitude of differences between attenuation values measured on virtual unenhanced images and true unenhanced images obtained using third-generation dual-source dual-energy CT (DECT).
A total of 83 patients requiring thoracoabdominal CT for cancer workup were included in this prospective study. CT examinations included true unenhanced acquisitions (tube potential, 120 kVp) and arterial and portal phase dual-energy CT (DECT) acquisitions (tube potential, 100 kVp and Sn 150 kVp [where Sn denotes the interposition of a tin filter in the high-energy beam]; tube current-exposure time product, 190 and 95 mAs). Virtual unenhanced images were created using two commercially available DECT postprocessing algorithms, one of which was designed to create liver images (hereafter referred to as VNC1 images) and the other of which was designed to create images of organs containing minor amounts of fat (hereafter referred to as VNC2 images). Attenuation values on the liver, spleen, paraspinal muscles, retroperitoneal fat, renal cortex and medulla, and gallbladder and bladder lumens were measured.
The attenuation values of all tissues were significantly different between virtual unenhanced and true unenhanced images (p = < 0.001-0.042), except for the liver and spleen in the portal phase and muscles in both phases. When statistically significant, correlations between these differences and body mass index (weight in kilograms divided by the square of height in meters) depended on the tissue imaged and algorithm used. The percentage of cases in which these differences were 10 HU or greater was 1% for the liver and approximately 5% for the spleen and muscles, regardless of the algorithm and phase, but on VNC1 images it reached approximately 30% for the kidney, 70% for the gallbladder and bladder, and depending on the phase, 40-70% for fat. On VNC2 images, the percentage of cases in which these differences were 20 HU or greater was approximately 90% for fat.
Abdominal virtual unenhanced images obtained with third-generation dual-source DECT still should not replace true unenhanced images because of substantial differences in attenuation measurements for fluid, fat, and renal tissues.
本研究旨在探讨第三代双源双能 CT(DECT)虚拟平扫图像与真实平扫图像之间衰减值差异的程度。
本前瞻性研究共纳入 83 例因癌症筛查而行胸腹 CT 检查的患者。CT 检查包括真实平扫采集(管电压 120kVp)和动脉期及门静脉期双能 CT(DECT)采集(管电压 100kVp 和 Sn150kVp[其中 Sn 表示在高能束中插入锡滤器];管电流-曝光时间乘积 190 和 95mAs)。虚拟平扫图像采用两种商用 DECT 后处理算法生成,其中一种旨在创建肝脏图像(以下简称 VNC1 图像),另一种旨在创建含少量脂肪的器官图像(以下简称 VNC2 图像)。测量肝脏、脾脏、椎旁肌肉、腹膜后脂肪、肾皮质和髓质、胆囊和膀胱管腔的衰减值。
除门静脉期肝脏和脾脏以及两期肌肉外,所有组织的虚拟平扫和真实平扫图像的衰减值均有显著差异(p<0.001-0.042)。当存在统计学差异时,这些差异与体重指数(体重以千克为单位除以身高以米为单位的平方)之间的相关性取决于所成像的组织和使用的算法。无论算法和期相如何,这些差异为 10HU 或更大的病例百分比为肝脏 1%,脾脏和肌肉约为 5%,但在 VNC1 图像上,肾脏约为 30%,胆囊和膀胱约为 70%,取决于期相,脂肪为 40-70%。在 VNC2 图像上,这些差异为 20HU 或更大的病例百分比脂肪约为 90%。
由于液体、脂肪和肾组织的衰减测量存在显著差异,第三代双源 DECT 腹部虚拟平扫图像仍不应替代真实平扫图像。