ISSN 1004-4140
CN 11-3017/P

有无基础病的COVID-19患者CT表现比较分析

Imaging Features of Patients with Coronavirus Disease 2019 with/without Underlying Diseases

  • 摘要: 目的:探讨合并基础病和未合并基础病的新型冠状病毒感染(COVID-19)患者的影像学特征。材料与方法:回顾性收集首都医科大学附属北京世纪坛医院于2022年11月16日至2022年12月16确诊为COVID-19的患者153例。患者均自发病后1~14 d行胸部薄层CT平扫检查。根据或者有无基础病将其分为两组,其中合并基础病患者42例,未合并基础病患者111例,对比分析两组患者的差异。结果:两组患者在发病年龄、咳嗽、双肺分布、弥漫性分布、肺内蜂窝样改变、斑片状分布、大片状分布、束带样分布、铺路石征、空气支气管征、牵拉性支气管扩张及胸腔积液上差异有统计学意义。结论:COVID-19患者临床以发热和咳嗽症状最多见,胸部CT可见双肺多发病灶,病灶类型以支气管血管束增厚及GGO为著。合并基础病的患者在蜂窝样改变、铺路石征、空气支气管征、牵拉性支气管扩张及胸腔积液上较未合并基础病的患者更多。胸部薄层CT扫描对疾病的早期发现及诊断提供了关键的参考。

     

    Abstract: Objective: To explore the imaging characteristics of patients with novel coronavirus pneumonia (COVID-19) combined with different underlying diseases. Materials and methods: COVID-19 was diagnosed in 153 patients at Beijing Shijitan Hospital, Capital Medical University, from November 16, 2022 to December 16, 2022, and data were retrospectively collected. All patients underwent chest CT scan from 1 to 14 days after onset and were divided into two groups based on the presence or absence of underlying diseases. Forty-three patients had underlying diseases, and 110 patients had none. We compared the differences between the two groups. Result: The comparison between the two groups showed statistically significant differences in age, cough, bilateral lung distribution, diffuse distribution, honeycomb-like changes in the lungs, patchy distribution, large patchy distribution, band distribution, crazy-paving sign, air bronchogram sign, traction bronchiectasis, and pleural effusion. Conclusion: Fever and cough are the most common clinical symptoms in patients with COVID-19. Chest CT showed multiple lesions in both lungs. The most common types of lesions were thickening of bronchovascular bundle and GGO. Patients with underlying diseases had more honeycomb-like changes, crazy-paving sign, air bronchogram sign, traction bronchiectasis, and pleural effusion than those without underlying diseases. Chest thin-slice CT scan provides a key reference for the early detection and diagnosis of the disease.

     

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