2019冠状病毒病(COVID-19)患者胸部CT影像学动态变化

目的: 探讨2019冠状病毒病（COVID-19）患者病程中胸部CT影像学表现的变化规律。方法: 收集在浙江大学医学院附属第一医院集中收治的COVID-19确诊患者52例。所有患者病程中持续胸部CT复查，人均共行4次胸部CT检查，每次检查间隔时间2~7 d。回顾性分析诊疗过程中患者CT影像学特点及随时间变化的特点。结果: 除2例患者首次胸部CT影像无异常，其余50例患者均发现肺部有不同程度的阴影。其中，表现为磨玻璃样密度影（GGO）48例（92.3%），斑片状实变、亚实变19例（36.5%），17例（32.7%）伴随出现空气支气管征，小叶间隔增粗41例（78.8%）。病程中COVID-19患者肺部GGO病变逐渐减少，纤维索条影逐渐增多，成为最常见的影像学表现。39例患者（75.0%）在入院第6~9天肺部病灶变化最明显，在入院第10~14天40例（76.9%）患者肺部病灶明显吸收。结论: COVID-19患者的胸部CT影像学表现具有一定的特征和变化规律，这在疫情防控和临床治疗决策中具有较大价值。

Dynamic changes of chest CT imaging in patients with COVID-19

Objective: To analyze the dynamic changes of chest CT images of patients with coronavirus disease 2019 (COVID-19). Methods: Fifty-two cases of COVID-19 were admitted in the First Affiliated Hospital of Zhejiang University School of Medicine. The consecutive chest CT scans were followed up for all patients with an average of 4 scans performed per patient during the hospitalization. The shortest interval between each scan was 2 days and the longest was 7 days. The shape, number and distribution of lung shadows, as well as the characteristics of the lesions on the CT images were reviewed. Results: The obvious shadows infiltrating the lungs were shown on CT images in 50 cases, for other 2 cases there was no abnormal changes in the lungs during the first CT examination. Ground-glass opacities (GGO) were found in 48 cases (92.3%), and 19 cases (36.5%) had patchy consolidation and sub-consolidation, which were accompanied with air bronchi sign in 17 cases (32.7%). Forty one cases (78.8%) showed a thickened leaflet interval, 4 cases (7.6%) had a small number of fibrous stripes. During hospitalization, GGO lesions in COVID-19 patients gradually became rare, the fibrous strip shadows increased and it became the most common imaging manifestation. The lesions rapidly progressed in 39 cases (75.0%) within 6-9 days after admission. On days 10-14 of admission, the lesions distinctly resolved in 40 cases (76.9%). Conclusion: The chest CT images of patients with COVID-19 have certain characteristics with dynamic changes, which are of value for monitoring disease progress and clinical treatment.