De Cecco Carlo N, Muscogiuri Giuseppe, Schoepf U Joseph, Caruso Damiano, Wichmann Julian L, Cannaò Paola M, Canstein Christian, Fuller Stephen R, Snider Lauren, Varga-Szemes Akos, Hardie Andrew D
Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza", Rome, Italy.
Eur J Radiol. 2016 Jul;85(7):1257-64. doi: 10.1016/j.ejrad.2016.04.012. Epub 2016 Apr 22.
To compare image quality and diagnostic accuracy for the detection of liver lesions of virtual unenhanced (VU) images based on third-generation dual-source dual- energy computed tomography (DECT) compared to conventional unenhanced (CU) images.
Thirty patients underwent triphasic abdominal CT consisting of single-energy CU (120kV, 147 ref.mAs) and dual-energy CT arterial and portal-venous phase acquisitions (100/Sn150kV, 180/90 ref.mAs). VU images were generated from arterial (AVU) and portal venous (PVU) phases. CU, AVU and PVU datasets were reconstructed. Quantitative image quality analysis was performed and two abdominal radiologists independently analyzed all datasets to evaluate image quality and identify liver lesions. Radiation dose was recorded and potential radiation dose reduction was estimated.
Image quality was rated diagnostic in 100% of the VU datasets. The mean subjective image quality of the CU datasets was higher than that of VU images (p<0.0001). No significant difference was observed in the mean attenuation values of the liver parenchyma (p>0.99) and hypoattenuating liver lesions (p≥0.21) between CU, AVU and PVU. However, a significant reduction in the attenuation values of calcified lesions (p<0.0001), metallic clips (p<0.0001) and gallstones (p≤0.047) was observed in the AVU and PVU images compared with CU images. A total of 122 liver lesions were found in 25 patients. VU images were more sensitive than CU images for detection of small hypoattenuating liver lesions (≤1cm). However, CU images were more sensitive than VU for calcified liver lesions. The mean radiation dose reduction achievable by avoiding the unenhanced acquisition was 32.9%±1.1% (p<0.01).
Third-generation DSCT VU images of the liver provide diagnostic image quality and improve small (≤1cm) liver lesion detection; however calcified liver lesions can be missed due to complete subtraction.
比较基于第三代双源双能量计算机断层扫描(DECT)的虚拟平扫(VU)图像与传统平扫(CU)图像在检测肝脏病变时的图像质量和诊断准确性。
30例患者接受了腹部三期CT检查,包括单能量CU(120kV,147参考mAs)以及双能量CT动脉期和门静脉期扫描(100/Sn150kV,180/90参考mAs)。从动脉期(AVU)和门静脉期(PVU)生成VU图像。重建CU、AVU和PVU数据集。进行定量图像质量分析,两名腹部放射科医生独立分析所有数据集以评估图像质量并识别肝脏病变。记录辐射剂量并估计潜在的辐射剂量减少情况。
100%的VU数据集图像质量被评为可用于诊断。CU数据集的平均主观图像质量高于VU图像(p<0.0001)。在CU、AVU和PVU之间,肝实质的平均衰减值(p>0.99)和低密度肝脏病变的平均衰减值(p≥0.21)未观察到显著差异。然而,与CU图像相比,在AVU和PVU图像中观察到钙化病变(p<0.0001)、金属夹(p<0.0001)和胆结石(p≤0.047)的衰减值显著降低。25例患者共发现122个肝脏病变。VU图像在检测小的低密度肝脏病变(≤1cm)方面比CU图像更敏感。然而,CU图像在检测钙化肝脏病变方面比VU更敏感。通过避免平扫采集可实现的平均辐射剂量减少为32.9%±1.1%(p<0.01)。
肝脏的第三代双源CT VU图像提供了可用于诊断的图像质量,并提高了小(≤1cm)肝脏病变的检测;然而,由于完全减除,钙化肝脏病变可能会被漏诊。