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Application of intelligent optimal kV scanning technology (CARE kV) in dual-source computed tomography (DSCT) coronary angiography

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机构: [1]Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China [2]Department of Medical Imaging, Taizhou People’s Hospital, Taizhou 225300, China
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关键词: Tomography X-ray computer coronary angiography radiation dose CARE kV

摘要:
This study aims to evaluate the applications and values of dual-source computed tomography (DSCT) intelligent optimal kV scanning technology (CARE kV) in coronary CT angiography (CCTA). 150 patients with normal body mass index were performed DSCT coronary angiography, then randomly divided into the " Semi", 120,100 and 80 kV Group, and the 2 "on" groups, with 30 patients in each group. The first 5 groups used the reference voltage as 120 kV, and the reference current as 400 mAs, while the other group used the reference voltage as 100 kV, and the reference current as 400 mAs. The image quality, average CT value, image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and radiation dose were comparatively analyzed among the 5 groups. The image quality scores of the five groups showed no significant difference (P > 0.05); the average CT values and image noises had significance (P < 0.05), while SNR and CNR showed no significant difference (P > 0.05). The 80 kV group showed the biggest noise, with the CT value as 700 HU, while the radiation dose was the lowest, followed by the on group. As for the patients with normal body mass index (BMI), CARE kV-"on" could obtain high-quality images and lower radiation dose for CCTA, while the operation was simple and convenient.

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出版当年[2016]版:
大类 | 4 区 医学
小类 | 4 区 医学:研究与实验
最新[2023]版:
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出版当年[2015]版:
Q4 MEDICINE, RESEARCH & EXPERIMENTAL
最新[2023]版:
Q4 MEDICINE, RESEARCH & EXPERIMENTAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2015版] 出版当年五年平均 出版前一年[2014版] 出版后一年[2016版]

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第一作者机构: [1]Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China [2]Department of Medical Imaging, Taizhou People’s Hospital, Taizhou 225300, China
通讯作者:
通讯机构: [1]Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China [*1]Depart-ment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, No. 295 Xichang Road, Kunming 650032, China.
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