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A retrospective study of the initial chest CT imaging findings in 50 COVID-19 patients stratified by gender and age.
Journal of X-Ray Science and Technology ( IF 3 ) Pub Date : 2020-08-06 , DOI: 10.3233/xst-200709
Qianbiao Gu 1 , Xin Ouyang 2 , An Xie 1 , Xianzheng Tan 1 , Jianbin Liu 1 , Feng Huang 1 , Peng Liu 1
Affiliation  

OBJECTIVE:To retrospectively analyze and stratify the initial clinical features and CT imaging findings of patients with COVID-19 by gender and age. METHODS:Data of 50 COVID-19 patients were collected in two hospitals. The clinical manifestations, laboratory examination and chest CT imaging features were analyzed, and a stratification analysis was performed according to gender and age [younger group: <50 years old, elderly group ≥50 years old]. RESULTS:Most patients had a history of epidemic exposure within 2 weeks (96%). The main clinical complaints are fever (54%) and cough (46%). In chest CT images, ground-glass opacity (GGO) is the most common feature (37/38, 97%) in abnormal CT findings, with the remaining 12 patients (12/50, 24%) presenting normal CT images. Other concomitant abnormalities include dilatation of vessels in lesion (76%), interlobular thickening (47%), adjacent pleural thickening (37%), focal consolidation (26%), nodules (16%) and honeycomb pattern (13%). The lesions were distributed in the periphery (50%) or mixed (50%). Subgroup analysis showed that there was no difference in the gender distribution of all the clinical and imaging features. Laboratory findings, interlobular thickening, honeycomb pattern and nodules demonstrated remarkable difference between younger group and elderly group. The average CT score for pulmonary involvement degree was 5.0±4.7. Correlation analysis revealed that CT score was significantly correlated with age, body temperature and days from illness onset (p < 0.05). CONCLUSIONS:COVID-19 has various clinical and imaging appearances. However, it has certain characteristics that can be stratified. CT plays an important role in disease diagnosis and early intervention.

中文翻译:

回顾性研究了按性别和年龄分层的50例COVID-19患者的最初胸部CT影像学表现。

目的:按性别和年龄对COVID-19患者的初步临床特征和CT影像学表现进行回顾性分析和分层。方法:在两家医院收集了50名COVID-19患者的数据。分析其临床表现,实验室检查和胸部CT影像学特征,并根据性别和年龄进行分层分析[青年组:<50岁,老年组≥50岁]。结果:大多数患者在2周内有流行病暴露史(96%)。主要的临床主诉是发烧(54%)和咳嗽(46%)。在胸部CT图像中,玻璃体混浊(GGO)是异常CT表现中最常见的特征(37/38,97%),其余12例患者(12/50,24%)呈现正常的CT图像。其他伴随异常包括病​​变血管扩张(76%),小叶间增厚(47%),邻近胸膜增厚(37%),灶性巩固(26%),结节(16%)和蜂窝状(13%)。病变分布在周围(50%)或混合(50%)。亚组分析显示,所有临床和影像学特征的性别分布均无差异。实验室检查结果,小叶间增厚,蜂窝状和结节显示,年轻组和老年组之间存在显着差异。肺部受累程度的CT平均得分为5.0±4.7。相关分析表明,CT评分与年龄,体温和发病天数显着相关(p <0.05)。结论:COVID-19具有多种临床和影像学表现。但是,它具有可以分层的某些特征。
更新日期:2020-08-11
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