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Clinical applications of virtual, non-contrast head images derived from dual-source, dual-energy cerebrovascular computed tomography angiography

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机构: [1]Medical Imaging Center, The First Hospital Affiliated Kunming Medical College, Kunming, 650032, China
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关键词: Dual-Source CT dual-energy cerebrovascular angiography virtual non-contrast scan CT angiography

摘要:
Background: This study set out to evaluate the utility of cerebrovascular virtual non-contrast (VNC) scans. Materials and Methods: Conventional non-contrast (CNC) and dual-energy computed tomography angiography (DE-CTA) head scans were conducted on 100 subjects, of which 46 were normal, 15 had parenchymal hematomas of the brain, 13 had ischemic infarction, 22 had tumors, and 4 had calcified lesions. VNC images were extracted from the DE-CTA head scans by post-processing. The true (or conventional) and VNC images were compared in terms of the mean CT attenuation value and signal-to-noise ratio (SNR) of the cerebral parenchyma, the image quality, the lesion detection sensitivity, and the radiation exposure level. Results: The image qualities of the CNC and VNC scans were (4.95 +/- 0.22) points and (3.94 +/- 0.24) points (t = 31.18, P < 0.05), the mean CT values for the CNC and VNC images were (34.6 +/- 2.44) and (28.6 +/- 5.40) HU (t = 10.126, P < 0.05), the SNRs were (9.45 +/- 1.26) and (6.87 +/- 1.77), and the HU for white matter was (t = 11.859, P<0.05), respectively. The effective radiation doses from the DE-CTA head scans and the conventional non-contrast scans were (8.55 +/- 0.57) mSv and (9.41 +/- 1.00) mSv, respectively. No significant difference in the lesion detection sensitivities was observed between the CNC and VNC scans, except for tiny calcified lesions, which could not be identified by a VNC scan. Conclusion: VNC and contrast-enhanced images could be obtained from DE-CTA head scans and could aid in the diagnosis of cerebral lesions. The radiation dose from the VNC scan was less than that from the CNC scan.

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出版当年[2017]版:
大类 | 4 区 医学
小类 | 4 区 核医学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 核医学
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出版当年[2016]版:
Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2016版] 出版当年五年平均 出版前一年[2015版] 出版后一年[2017版]

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第一作者机构: [1]Medical Imaging Center, The First Hospital Affiliated Kunming Medical College, Kunming, 650032, China
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