Yalçın Ali Can, Erbas Gonca
Radiology, Gazi University Faculty of Medicine, Ankara, TUR.
Cureus. 2024 Sep 23;16(9):e70017. doi: 10.7759/cureus.70017. eCollection 2024 Sep.
To determine the efficacy and safety of virtual unenhanced imaging by comparing the attenuation values of virtual and true unenhanced images acquired using third-generation dual-source dual-energy computed tomography (dsDECT).
Single-energy non-contrast and dual-energy arterial and venous phase images of 97 patients who underwent triphasic abdominal computed tomography (CT) were included in this retrospective study. Virtual unenhanced images were generated for the arterial (a) and venous (v) phases using two dsDECT algorithms. The attenuation values were measured on the true and virtual unenhanced images of the liver, spleen, kidney, gallbladder, paraspinal muscle, aorta, subcutaneous fat, retroperitoneal fat, and renal cysts.
A statistically significant difference was observed between the attenuation values of true and virtual unenhanced images for all tissues (p < 0.001-0.025), except the venous phase virtual unenhanced images of the kidney, renal cysts, and gallbladder (p = 0.061-0.325). The proportion of cases with differences of ≥ 10 Hounsfield unit (HU) in the attenuation values between the virtual and true unenhanced images ranged from 3% to 8% for renal parenchyma, renal cysts, and gallbladder using this algorithm; however, this proportion was up to 90% for adipose tissue. No significant correlation was observed between the body mass index and attenuation differences between the true and virtual unenhanced images, except for those of the aorta and paraspinal muscle.
Virtual unenhanced images acquired using third-generation dsDECT cannot replace true unenhanced images in clinical practice owing to the difference between the attenuation values and variability of attenuation between true and virtual unenhanced images.
通过比较使用第三代双源双能量计算机断层扫描(dsDECT)获取的虚拟平扫图像和真实平扫图像的衰减值,确定虚拟平扫成像的有效性和安全性。
本回顾性研究纳入了97例行腹部三期计算机断层扫描(CT)患者的单能量非增强图像以及双能量动脉期和静脉期图像。使用两种dsDECT算法生成动脉期(a)和静脉期(v)的虚拟平扫图像。在肝脏、脾脏、肾脏、胆囊、椎旁肌、主动脉、皮下脂肪、腹膜后脂肪和肾囊肿的真实平扫图像和虚拟平扫图像上测量衰减值。
除肾脏、肾囊肿和胆囊的静脉期虚拟平扫图像外(p = 0.061 - 0.325),所有组织的真实平扫图像和虚拟平扫图像的衰减值之间均观察到统计学显著差异(p < 0.001 - 0.025)。使用该算法,肾实质、肾囊肿和胆囊的虚拟平扫图像与真实平扫图像衰减值差异≥10亨氏单位(HU)的病例比例为3%至8%;然而,脂肪组织的这一比例高达90%。除主动脉和椎旁肌外,未观察到体重指数与真实平扫图像和虚拟平扫图像之间的衰减差异有显著相关性。
由于真实平扫图像和虚拟平扫图像之间的衰减值差异以及衰减变异性,使用第三代dsDECT获取的虚拟平扫图像在临床实践中不能替代真实平扫图像。