Introduction: The purpose of this study was to compare a dual energy CT (DECT) protocol with 50% reduction of iodinated contrast to a single energy CT (SECT) protocol using standard contrast dose in imaging of the thoracic aorta. Methods: DECT with a 50% reduction in iodinated contrast was compared with SECT. For DECT, mono-energetic images at 50, 55, 60, 65, 68, 70, and 74 keV were reconstructed with adaptive statistical iterative reconstruction (ASiR-V) of 50% and 80%. Objective image quality parameters included intravascular attenuation (HU), image noise (SD), contrast-to-noise ratio (CNR), and signal-to-noise ratio (SNR). Two independent radiologists subjectively assessed the image quality for the 55 and 68 keV DECT reconstructions and SECT on a five-point Likert scale. Results: Across 14 patients, the intravascular attenuation at 50-55 keV was comparable to SECT (p > 0.05). The CNRs were significantly lower for DECT with ASIR-V 50% compared to SECT for all keV-values (p < 0.05 for all). For ASIR-V 80%, CNR was comparable to SECT at energies below 60 keV (p > 0.05). The subjective image quality was comparable between DECT and SECT independent of keV level. Conclusion: This study indicates that a 50% reduction in iodinated contrast may result in adequate image quality using DECT with monoenergetic reconstructions at lower energy levels for the imaging of the thoracic aorta. The best image quality was obtained for ASiR-V 80% image reconstructions at 55 keV. Implications of practice: Dual energy CT with a reduction in iodinated contrast may result in adequate image quality in imaging of the thoracic aorta. However, increased radiation dose may limit the use to patients in which a reduction in fluid and iodinated contrast volume may outweigh this risk. (C) 2021 The College of Radiographers. Published by Elsevier Ltd. All rights reserved.
机构:
The Affiliated Hospital of Xuzhou Medical University,Department of RadiologyThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
He Zhang
Lulu Zhang
论文数: 0引用数: 0
h-index: 0
机构:
Xuzhou Medical University,School of Medical ImagingThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
Lulu Zhang
Juan Long
论文数: 0引用数: 0
h-index: 0
机构:
Jiangsu Medical Imaging and Digital Medicine Engineering Research Center,Department of Medical ImagingThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
Juan Long
He Zhang
论文数: 0引用数: 0
h-index: 0
机构:
The Affiliated Hospital of Xuzhou Medical University,Department of RadiologyThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
He Zhang
Xiaonan Sun
论文数: 0引用数: 0
h-index: 0
机构:
Xuzhou Medical University,School of Medical ImagingThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
Xiaonan Sun
Shuai Zhang
论文数: 0引用数: 0
h-index: 0
机构:
Jiangsu Medical Imaging and Digital Medicine Engineering Research Center,Department of Medical ImagingThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
Shuai Zhang
Aiyun Sun
论文数: 0引用数: 0
h-index: 0
机构:
The Affiliated Hospital of Xuzhou Medical University,Department of RadiologyThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
Aiyun Sun
Shenman Qiu
论文数: 0引用数: 0
h-index: 0
机构:
Xuzhou Medical University,School of Medical ImagingThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
Shenman Qiu
Yankai Meng
论文数: 0引用数: 0
h-index: 0
机构:
Jiangsu Medical Imaging and Digital Medicine Engineering Research Center,Department of Medical ImagingThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
Yankai Meng
Tao Ding
论文数: 0引用数: 0
h-index: 0
机构:
The Affiliated Hospital of Xuzhou Medical University,Department of RadiologyThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
Tao Ding
Chunfeng Hu
论文数: 0引用数: 0
h-index: 0
机构:
Xuzhou Medical University,School of Medical ImagingThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology
Chunfeng Hu
Kai Xu
论文数: 0引用数: 0
h-index: 0
机构:
Jiangsu Medical Imaging and Digital Medicine Engineering Research Center,Department of Medical ImagingThe Affiliated Hospital of Xuzhou Medical University,Department of Radiology