ISSN 1004-4140
CN 11-3017/P

新型冠状病毒感染的临床、病理与影像表现

王仁贵

王仁贵. 新型冠状病毒感染的临床、病理与影像表现[J]. CT理论与应用研究, 2023, 32(3): 297-302. DOI: 10.15953/j.ctta.2023.116.
引用本文: 王仁贵. 新型冠状病毒感染的临床、病理与影像表现[J]. CT理论与应用研究, 2023, 32(3): 297-302. DOI: 10.15953/j.ctta.2023.116.
WANG R G. Clinical, Pathological and Imaging Manifestations of Novel Coronavirus Infection[J]. CT Theory and Applications, 2023, 32(3): 297-302. DOI: 10.15953/j.ctta.2023.116. (in Chinese).
Citation: WANG R G. Clinical, Pathological and Imaging Manifestations of Novel Coronavirus Infection[J]. CT Theory and Applications, 2023, 32(3): 297-302. DOI: 10.15953/j.ctta.2023.116. (in Chinese).

新型冠状病毒感染的临床、病理与影像表现

详细信息
    通讯作者:

    王仁贵: 男,医学博士,首都医科大学附属北京世纪坛医院放射中心主任、主任医师、教授、博士生导师,主要从事淋巴影像学、呼吸肿瘤和肺部弥漫性疾病的影像学研究,E-mail:wangrg@bjsjth.cn

  • 中图分类号: R  814;R  563.1

Clinical, Pathological and Imaging Manifestations of Novel Coronavirus Infection

  • 摘要: 胸部CT对新型冠状病毒感染(COVID-19)早期发现和精准诊断及鉴别诊断是最佳影像学方法,对明确临床分型、选择治疗方法、动态观察病变进展、评判风险因素和患者预后具有重要意义。本文对其流行病学、病理改变、临床表现和CT特征等进行述评,旨在提高临床和影像医师对该病的认知和诊治水平。
    Abstract: The novel coronavirus infection, also known as COVID-19, can be detected, diagnosed, and differentiated using chest computed tomography (CT) scans. CT scans are considered the best imaging method for early detection and accurate diagnosis of the disease. They are essential for clinical classification, treatment selection, monitoring disease progression, assessing risk factors, and predicting patient prognosis. This article aims to enhance the understanding and diagnostic capabilities of clinical and imaging physicians by reviewing the epidemiology, pathological changes, clinical manifestations, and CT features of COVID-19.
  • [1] 中国疾病预防控制中心新型冠状病毒肺炎应急响应机制流行病学组. 新型冠状病毒肺炎流行病学特征分析[J]. 中华流行病学杂志, 2020,41(2): 145−151. doi: 10.3760/cma.j.issn.0254-6450.2020.02.003
    [2]

    XIE J, WANG Q, XU Y, et al. Clinical characteristics, laboratory abnormalities and CT findings of COVID-19 patients and risk factors of severe disease: A systematic review and Meta-analysis[J]. Annals of Palliative Medicine, 2021, 10(2): 1928−1949. doi: 10.21037/apm-20-1863

    [3] 徐进川, 范小勇. 2019冠状病毒病的发病机制研究进展[J]. 微生物与感染, 2020,15(6): 421−428. doi: 10.3969/j.issn.1673-6184.2020.06.013

    XU J C, FAN X Y. Progress on pathogenesis of coronavirus disease 2019[J]. Journal of Microbes and Infections, 2020, 15(6): 421−428. (in Chinese). doi: 10.3969/j.issn.1673-6184.2020.06.013

    [4] 刘彬, 秦照玲, 戚中田. 新型冠状病毒基因组结构与蛋白功能[J]. 微生物与感染, 2020,15(1): 52−57. doi: 10.3969/j.issn.1673-6184.2020.01.010

    LIU B, QING Z L, QI Z T. Genomic structure and protein profiles of 2019 novel coronavirus[J]. Journal of Microbes and Infections, 2020, 15(1): 52−57. (in Chinese). doi: 10.3969/j.issn.1673-6184.2020.01.010

    [5]

    LU R, ZHAO X, LI J, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: Implications for virus origins and receptor binding[J]. Lancet, 2020, 395(10224): 565−574. doi: 10.1016/S0140-6736(20)30251-8

    [6] 张乐海, 王莹, 盖中涛. 新型冠状病毒的基因组学初探[J]. 国际流行病学传染病学杂志, 2020,47(3): 207−211. doi: 10.3760/cma.j.cn331340-20200202-00020

    ZHANG L H, WANG Y, GAI Z T. Preliminary study on genomic of SARS-CoV-2[J]. International Journal of Epidemiology and Infectious Disease, 2020, 47(3): 207−211. (in Chinese). doi: 10.3760/cma.j.cn331340-20200202-00020

    [7]

    HARMER D, GILBERT M, BORMAN R, et al. Quantitative mRNA expression profiling of ACE 2, a novel homologue of angiotensin converting enzyme[J]. FEBS Letters, 2002, 532(1/2): 107−110.

    [8]

    CERAOLO C, GIORGI F M. Genomic variance of the 2019-nCoV coronavirus[J]. Journal of Medical Virology, 2020, 92(5): 522−528. doi: 10.1002/jmv.25700

    [9] 孙莹, 李玲, 刘晓燕, 等. 早期新型冠状病毒肺炎的胸部薄层平扫CT表现特征[J]. CT理论与应用研究, 2023,32(1): 131−138. DOI: 10.15953/j.ctta.2023.006.

    SUN Y, LI L, LIU X Y, et al. Imaging features of early COVID-19 on chest thin-slice non-enhanced CT[J]. CT Theory and Applications, 2023, 32(1): 131−138. DOI: 10.15953/j.ctta.2023.006. (in Chinese).

    [10]

    YAZDI N A, GHADERY A H, SEYEDALINAGHI S A, et al. Predictors of the chest CT score in COVID-19 patients: A cross-sectional study[J]. Virology Journal, 2021, 12(18): 225−232.

    [11]

    WHO Coronavirus (COVID-19) Dashboard[EB/OL]. [2021-07-12]. https://covid19.who.int/.

    [12]

    WILDER-SMITH A, CHIEW C J, LEE V J. Can we contain the COVID-19 outbreak with the same measures as for SARS?[J]. The Lancet Infectious Diseases, 2020, 20(5): e102−107. doi: 10.1016/S1473-3099(20)30129-8

    [13]

    REN L L, WANG Y M, WU Z Q, et al. Identification of a novel coronavirus causing severe pneumonia in human: A descriptive study[J]. Chinese Medical Journal, 2020, 133(9): 1015−1024. doi: 10.1097/CM9.0000000000000722

    [14]

    LIU Y, ZHOU X, LIU X, et al. Systematic review and meta-analysis of the CT imaging characteristics of infectious pneumonia[J]. Annals of Palliative Medicine, 2021, 10(10): 10414−10424. doi: 10.21037/apm-21-2101

    [15]

    TANG Y, LIAO H, WU Q, et al. Chest CT imaging characteristics and their evolution of 48 patients with COVID-19 in Hengyang, China[J]. American Journal of Translational Research, 2021, 13(9): 9983−9992.

    [16]

    PAKDEMIRLI E, MANDALIA U, MONIB S. Characteristics of chest CT images in patients with COVID-19 pneumonia in London, UK[J]. Cureus, 2020, 12(9): e10289.

    [17]

    MARCHIORI E, NOBRE L F, HOCHHEGGER B, et al. CT characteristics of COVID-19: Reversed halo sign or target sign?[J]. Diagnostic and Interventional Radiology, 2021, 27(2): 306−307. doi: 10.5152/dir.2020.20734

    [18]

    HUANG C, WANG Y, LI X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China[J]. Lancet, 2020, 395(10223): 497−506. doi: 10.1016/S0140-6736(20)30183-5

    [19]

    LIU H P, LUO S Y, LI H L, et al. Clinical characteristics and longitudinal chest CT features of healthcare workers hospitalized with coronavirus disease 2019 (COVID-19)[J]. International Journal of Medical Sciences, 2020, 17(17): 2644−2652. doi: 10.7150/ijms.48696

    [20]

    JAFARI R, MAGHSOUDI H, SABURI A. A unique feature of COVID-19 infection in chest CT; "pulmonary target" appearance[J]. Academic Radiology, 2021, 28(1): 146−147. doi: 10.1016/j.acra.2020.11.004

    [21]

    WU R D, GUAN W, GAO Z H, et al. The arch bridge sign: A newly described CT feature of the coronavirus disease-19 (COVID-19) pneumonia[J]. Quantitative Imaging in Medicine and Surgery, 2020, 10(7): 1551−1558. doi: 10.21037/qims-20-688

    [22]

    YOON S H, LEE J H, KIM B N. Chest CT findings in hospitalized patients with SARS-CoV-2: Delta versus Omicron variants[J]. Radiology, 2023, 306(1): 252−260. doi: 10.1148/radiol.220676

    [23] 吴杰, 肖安岭, 顾金凤. 多层螺旋CT对新型冠状病毒肺炎的临床诊断价值[J]. 实用放射学杂志, 2021,37(5): 746−748. doi: 10.3969/j.issn.1002-1671.2021.05.013

    WU J, XIAO A L, GU J F. Clinical value of MSCT in the diagnosis of COVID-19[J]. Journal of Practical Radiology, 2021, 37(5): 746−748. (in Chinese). doi: 10.3969/j.issn.1002-1671.2021.05.013

    [24] 余成成, 杨彦鸿, 胡天丽, 等. 新型冠状病毒B.1.617.2变异株感染者高分辨率CT与临床特点[J]. 中华放射学杂志, 2021,55(10): 1054−1058.

    YU C C, YANG Y H, HU T L, et al. High resolution CT findings and clinical features of the novel coronavirus B.1.617.2 variant[J]. Chinese Journal of Radiology, 2021, 55(10): 1054−1058. (in Chinese).

    [25] 李声鸿, 曾献军, 鄢海蓝, 等. 新型冠状病毒肺炎薄层CT评价[J]. 实用放射学杂志, 2021,37(7): 1074−1076,1130. doi: 10.3969/j.issn.1002-1671.2021.07.007

    LI S H, ZENG X J, YAN H L, et al. Evaluation of COVID-19 with thin-sclice CT[J]. Journal of Practical Radiology, 2021, 37(7): 1074−1076,1130. (in Chinese). doi: 10.3969/j.issn.1002-1671.2021.07.007

    [26] 黄益龙, 张振光, 李翔, 等. CT影像组学联合征象鉴别新型冠状病毒肺炎与其他病毒性肺炎的价值[J]. 中华放射学杂志, 2022,56(1): 36−42. doi: 10.3760/cma.j.cn112149-20201220-01318

    HUANG Y L, ZHANG Z G, LI X, et al. The value of CT signs combined with radiomics in the differentiation of COVID-19 from other viral pneumonias[J]. Chinese Journal of Radiology, 2022, 56(1): 36−42. (in Chinese). doi: 10.3760/cma.j.cn112149-20201220-01318

    [27] 赵小二, 邓克学, 王朋. 不同阶段新型冠状病毒肺炎的CT影像演变分析[J]. 实用放射学杂志, 2021,37(8): 1254−1257. doi: 10.3969/j.issn.1002-1671.2021.08.008

    ZHAO X E, DENG K X, WANG P. Analysis of the CT manifestations changes of COVID-19 at different stages[J]. Journal of Practical Radiology, 2021, 37(8): 1254−1257. (in Chinese). doi: 10.3969/j.issn.1002-1671.2021.08.008

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出版历程
  • 收稿日期:  2023-05-26
  • 录用日期:  2023-05-26
  • 网络出版日期:  2023-05-28
  • 发布日期:  2023-05-30

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