ISSN 1004-4140
CN 11-3017/P

新型冠状病毒奥密克戎变异株感染者胸部CT表现及动态变化

陈辉, 张紫欣, 陈七一, 李晶晶, 吕志彬, 薛明, 陈佳敏, 谢汝明, 关春爽

陈辉, 张紫欣, 陈七一, 等. 新型冠状病毒奥密克戎变异株感染者胸部CT表现及动态变化[J]. CT理论与应用研究, 2023, 32(3): 313-322. DOI: 10.15953/j.ctta.2023.051.
引用本文: 陈辉, 张紫欣, 陈七一, 等. 新型冠状病毒奥密克戎变异株感染者胸部CT表现及动态变化[J]. CT理论与应用研究, 2023, 32(3): 313-322. DOI: 10.15953/j.ctta.2023.051.
CHEN H, ZHANG Z X, CHEN Q Y, et al. Imaging Features and Dynamic Changes of Chest Computed Tomography in Patients Infected with SARS-CoV-2 Omicron Variants[J]. CT Theory and Applications, 2023, 32(3): 313-322. DOI: 10.15953/j.ctta.2023.051. (in Chinese).
Citation: CHEN H, ZHANG Z X, CHEN Q Y, et al. Imaging Features and Dynamic Changes of Chest Computed Tomography in Patients Infected with SARS-CoV-2 Omicron Variants[J]. CT Theory and Applications, 2023, 32(3): 313-322. DOI: 10.15953/j.ctta.2023.051. (in Chinese).

新型冠状病毒奥密克戎变异株感染者胸部CT表现及动态变化

基金项目: 基于胸部CT影像用于COVID-19肺内病变自动量化评估模型的优化研究(2020-TG-001)。
详细信息
    作者简介:

    陈辉: 女,首都医科大学附属北京地坛医院放射科主治医师,主要从事放射影像诊断学,E-mail:m13161940737@163.com

    通讯作者:

    谢汝明: 男,首都医科大学附属北京地坛医院影像中心主任、主任医师、教授,主要从事胸部影像诊断工作,E-mail:mingrux@163.com

    关春爽: 女,首都医科大学附属北京地坛医院放射科主任医师,主要从事胸部影像诊断工作,E-mail:guanchunshuang@163.com

  • 中图分类号: R  814;R  563.1

Imaging Features and Dynamic Changes of Chest Computed Tomography in Patients Infected with SARS-CoV-2 Omicron Variants

  • 摘要: 目的:探讨新型冠状病毒奥密克戎(Omicron)变异株感染者胸部CT表现及短期动态变化。方法:纳入2022年11月至2023年1月在首都医科大学附属北京地坛医院确诊的200例新型冠状病毒Omicron变异株感染者,根据临床分型分为轻型组、中型组和重型/危重型组,回顾性分析其临床、实验室和胸部CT资料。结果:200例新型冠状病毒Omicron变异株感染者中,临床表现以发热、咳嗽咳痰、咽痛、乏力为主。轻型组与中型组之间、轻型组与重型/危重型组之间外周血白细胞计数值比较差异有统计学意义。轻型组与中型组之间、轻型组与重型/危重型组之间红细胞沉降率值比较差异有统计学意义。轻型组病变以胸膜下分布为主(53.6%),中型组(77.9%)和重型/危重型组(88.9%)病变以混合型分布为主。铺路石征在轻型组和重型/危重型组之间、轻型组和中型组之间差异有统计学意义。支气管充气征在3组之间差异均有统计学意义。发病与首次胸部CT不同间隔时间内磨玻璃密度影(GGO)的出现频率均最高,间隔时间大于4 d的患者肺内GGO伴实变/实变、支气管充气征的比例逐渐增加。铺路石征在间隔时间5~9 d内出现比例最高(95.4%),之后比例下降。间隔时间≥14 d的患者肺内索条影出现频率、胸膜增厚及胸腔积液的比例增加。GGO、GGO伴铺路石征、GGO伴实变或实变和索条出现的中位时间为4 d(2 d,7 d)、9 d(7 d,11 d),13 d(10 d,16 d)和16 d(13 d,19 d)。结论:胸部CT能够反映新型冠状病毒Omicron变异株感染者病变分布、病变形态和动态影像发展和转归,有助于临床治疗决策的制定和疗效评价。
    Abstract: Objective: To investigate the chest computed tomography (CT) findings and dynamic changes in patients infected with SARS-CoV-2 Omicron variants. Methods: 200 patients infected with SARS-CoV-2 Omicron variants were collected in Beijing Ditan Hospital, Capital Medical University from November 2022 to January 2023. These patients were divided into mild group, moderate group and severe/critical group according to the clinical classification. All patients’ clinical, laboratory and chest CT data were retrospectively analyzed. Results: Among 200 cases infected with SARS-CoV-2 omicron variant, the main clinical manifestations were fever, cough, sore throat and fatigue. There was a statistically significant difference in white blood cell count between the mild group and the medium group, and between the mild group and the severe/critical group. There were significant differences in erythrocyte sedimentation rate between mild and moderate groups, and between mild and severe/critical groups. Most of the lesions in mild group were subpleural (53.6%), while most of the lesions in moderate group (77.9%) and severe/critical group (88.9%) were mixed. The crazy-paving sign was statistically significant between the mild and severe/critical groups, and between the mild and moderate groups. There were significant differences in air bronchogram sign between the mild and the severe/critical groups, the mild and severe/critical groups , and the mild and moderate groups. The frequency of Ground Glass Opacity (GGO) was the highest at different intervals between the onset and the first chest CT. The proportion of GGO with consolidation/consolidation and air bronchogram sign gradually increased when the interval was more than 4 days. The proportion of GGO with consolidation/consolidation and air bronchogram sign gradually increased when the interval was more than 4 days. The highest proportion (95.4%) of crazy-paving sign appeared within the interval of 5-9 days, after which the proportion decreased. The frequency of irregular linear opacities, the proportion of pleural thickening and pleural effusion increased in patients with an interval more than 14 days. The median times to occurrence of GGO, GGO with crazy-paving sign, GGO with consolidation or consolidation and irregular linear opacities respectively were 4 days (2 days, 7 days), 9 days (7 days, 11 days), 13 days (10 days, 16 days) and 16 days (13 days, 19 days). Conclusions: Chest CT can reflect the distribution, morphology, dynamic imaging development and outcome of lesions in patients infected with SARS-CoV-2 Omicron variant, which is helpful for clinical treatment decision-making and efficacy evaluation.
  • 图  1   新型冠状病毒奥密克戎变异株感染者胸部CT征象

    (a)男性,66岁,发病到CT检查时间为4 d,双肺多发混合分布的类圆形GGO;(b)男性,68岁,发病到CT检查时间为11 d,双肺上叶及右肺下叶见混合分布的扇形GGO伴铺路石征,内可见支气管充气征,邻近胸膜略增厚;(c)男性,77岁,发病到CT检查时间为15 d,双肺混合分布的扇形磨玻璃密度影伴部分实变,内可见支气管充气征,邻近肋胸膜增厚;(d)男性,60岁,发病到CT检查时间为17 d,双肺混合分布的不规则形实变影伴索条,邻近肋胸膜增厚;(e)男性,72岁,发病到CT检查时间为16 d,右肺下叶胸膜下可见不规则实变伴索条影;(f)男性,76岁,发病到CT检查时间为11 d,左肺上叶尖后段胸膜下见类圆形实变影。

    Figure  1.   Chest CT images of patients infected with SARS-CoV-2 Omicron variant strains

    图  2   新型冠状病毒奥密克戎变异株感染者胸部CT动态变化

    Figure  2.   Dynamic changes of chest CT images in patients infected with SARS-CoV-2 Omicron variants

    表  1   新型冠状病毒奥密克戎变异株感染者一般资料和临床表现

    Table  1   General data and clinical manifestations of patients infected with SARS-CoV-2 omicron variants

    临床表现组别统计检验
    轻型/例(%)中型/例(%)重型/危重型/例(%)$\chi ^{2}$P
    人数        35    109    56
    性别 15(42.9) 58(53.2) 44(78.6) 14.076 0.001
    20(57.1) 51(46.8) 12(21.4)
    发热     17(48.6) 94(86.2) 54(96.4) 36.487 0.001
    咳嗽/咳痰   17(48.6) 91(83.5) 42(75.0) 17.225 0.001
    咽痛     5(14.3) 37(33.9) 14(25.0) 5.426 0.066
    乏力     6(17.1) 37(33.9) 20(35.7) 4.106 0.128
    肌肉酸痛   6(17.1) 27(24.8) 12(21.4) 0.935 0.627
    畏寒/寒战   4(11.4) 26(23.9) 15(26.8) 3.165 0.205
    鼻塞、流涕  1(2.9) 23(21.1) 7(12.5) 7.267 0.026
    头痛     0(0.0) 9(8.3) 5(8.9) 3.380 0.211
    呼吸困难/喘憋 2(5.7) 22(20.2) 11(19.6) 4.089 0.129
    恶心/呕吐   3(8.6) 7(6.4) 1(1.8) 2.404 0.308
    腹泻     2(5.7) 8(7.3) 5(8.9) 0.347 0.874
    嗅觉异常   1(2.9) 6(5.5) 1(1.8) 1.131 0.695
    味觉异常   1(2.9) 8(7.3) 2(3.6) 1.147 0.581
    合并基础疾病 32(91.4) 100(91.7) 53(94.6) 0.567 0.815
    下载: 导出CSV

    表  2   新型冠状病毒奥密克戎变异株感染者组间实验室检查比较

    Table  2   Comparison of inflammatory markers and CT values of nucleic acid in patients infected with SARS-CoV-2 omicron variants between mild, moderate group and severe/critical groups

    实验室指标组别统计检验
    轻型中型重型/危重型HP
     C-反应蛋白值/(mg/L)33.900(19.8)46.900(22.9)55.200(22.7)4.7660.092
     外周血白细胞计数值/(×109/L)4.380(3.4)10.904(4.2)6.235(4.3)7.7710.008
     淋巴细胞计数值/(×109/L)0.750(0.6)0.920(0.6)0.725(0.5)5.9700.054
     红细胞沉降率值/(mm/h)23.000(11.0)38.500(16.0)42.0(32.0)21.4480.001
     白细胞介素-6值/(pg/mL)53.776(30.7)35.920(29.3)29.265(17.0)0.6460.724
     降钙素原值/(ng/mL)0.050(0.1)0.050(0.1)0.060(0.1)0.4660.792
     ORF1ab基因24.764±5.519*28.966(26.1)28.966(26.2)20.8600.001
     N基因24.289±5.748*29.098±5.216*28.387(26.2)17.8860.001
    注:*-轻型ORF1ab基因及N基因组、中型N基因组为正态分布资料,其余均为非正态分布资料。
    下载: 导出CSV

    表  3   新型冠状病毒奥密克戎变异株感染者首次胸部CT肺内病变分布

    Table  3   Distribution of lung lesions in patients infected with SARS-CoV-2 omicron variants on the first chest CT

    病变分布组别统计检验
    轻型/例(%)中型/例(%)重型/危重
    型/例(%)
    $\chi ^{2}$P
    病灶分布    胸膜下分布 15(53.6) 23(22.1) 6(11.1)18.7170.001
    中央型分布000
    混合分布 13(46.4)81(77.9)48(88.9)18.7170.001
    病灶累及肺叶数量07(20.0)5(4.6)2(3.6)8.5790.009
    14(11.4)3(2.8)0(0.0)6.7990.016
    25(14.3)8(7.3)0(0.0)8.1000.010
    35(14.3)4(3.7)3(5.4)4.7090.086
    44(11.4)12(11.0)3(5.4)1.5950.460
    510(28.6)77(70.6)48(85.7)33.1370.001
    受累肺叶    右肺上叶 23(65.7)94(86.2)53(94.6)14.4250.001
    右肺中叶 19(54.3)91(83.5)52(92.9)21.7830.001
    右肺下叶 27(77.1)102(93.6)55(98.2)11.3050.002
    左肺上叶 19(54.3)95(87.2)55(98.2)33.0240.001
    左肺下叶 24(68.6)105(96.3)55(98.2)22.7270.001
    两肺受累侧别  双侧   23(82.1)96(92.3)54(100.0)15.8180.001
    单侧   5(17.9)8(7.7)0(0.0)8.1000.010
    下载: 导出CSV

    表  4   新型冠状病毒奥密克戎变异株感染者首次CT肺内病变影像特征

    Table  4   Imaging features of pulmonary lesions in patients infected with SARS-CoV-2 omicron variants on the first chest CT

    影像征象合计/例(%)组别统计检验
    轻型中型重型/危重型$\chi ^{2}$P
     类圆形 45(22.5) 5(14.3) 28(25.7) 12(21.4)1.1500.563
     扇形46(23.0)7(20.0)22(20.2)16(29.6)1.4040.496
     不规则形95(47.5)16(57.1)54(49.5)26(46.4)0.6060.738
     GGO*183(91.5)27(77.1)103(94.5)53(94.6)1.6790.553
     铺路石征165(82.5)18(51.4)96(88.1)51(91.1)14.9950.001
     GGO伴实变/实变89(44.5)9(25.7)49(45.0 )31(55.4)4.7680.092
     支气管充气征145(72.5)9(25.7)85(78.0)51(91.1)43.6050.001
     GGO内支气管充气征133(66.5)5(14.3)82(75.2)46(82.1)47.2620.001
     实变内支气管充气征76(38.0)4(11.4)43(39.5)29(51.8)11.8790.003
     索条55(27.5)6(17.1)35(32.1)14(25.0)2.0680.356
     胸膜增厚116(58.0)20(57.0)57(52.0)39(70.0)5.7460.057
     胸腔积液60(30.0)10(28.6)34(31.2)16(28.6)0.3330.847
    注:*-GGO代表磨玻璃密度影。
    下载: 导出CSV

    表  5   新型冠状病毒奥密克戎变异株感染者发病与首次CT不同间隔时间肺内病变影像特征

    Table  5   Imaging features of pulmonary lesions at different intervals between onset of symptoms and the first CT scan in patients infected with SARS-CoV-2 omicron variants

    影像征象/例(%)组别统计检验
    ≤4 d5~9 d10~13 d≥14 d$\chi ^{2}$P
     人数 54(27.0) 65(32.5) 36(18.0) 45(22.5)
     GGO*44(81.5)63(96.9)35(97.2)43(95.6)10.2710.010
     铺路石征38(70.4)62(95.4)33(91.7)40(88.9)15.4840.001
     GGO伴实变/实变20(37.0)26(40.0)18(50.0)34(75.6)17.9120.001
     支气管充气征24(44.4)48(73.8)29(80.6)44(97.8)36.9710.001
     GGO内支气管充气征21(38.9)48(73.8)29(80.6)39(86.7)32.1120.001
     实变内支气管充气征9(16.7)21(32.3)29(80.6)32(71.1)52.4100.001
     索条8(14.8)16(24.6)10(27.8)19(42.2)9.6450.022
     胸膜增厚18(33.3)20(30.8)16(44.4)38(84.4)36.3680.001
     胸腔积液10(18.5)14(21.5)12(33.3)16(35.6)5.3850.146
    注:*-GGO代表磨玻璃密度影。
    下载: 导出CSV
  • [1]

    WALKER A S, VIHTA K D, GETHINGS O, et al. Tracking the emergence of SARS-CoV-2 alpha variant in the United Kingdom[J]. New England Journal of Medicine (S0028-4793), 2021, 385(27): 2582−2585. doi: 10.1056/NEJMc2103227

    [2]

    IULIANO A D, BRUNKARD J M, BOEHMER T K, et al. Trends in disease severity and health care utilization during the early omicron variant period compared with previous SARS-CoV-2 high transmission periods - United States, December 2020-January 2022[J]. Morbidity and Mortality Weekly Report (S0149-2195), 2022, 71(4): 146−152. doi: 10.15585/mmwr.mm7104e4

    [3] 中华人民共和国国家卫生健康委员会. 新型冠状病毒感染诊疗方案(试行第十版)[J]. 中华临床感染病杂志, 2023,16(1): 1−9. doi: 10.3760/cma.j.issn.1674-2397.2023.01.001
    [4]

    SONG F, SHI N, SHAN F, et al. Emerging 2019 Novel Coronavirus (2019-nCoV) pneumonia[J]. Radiology (S0033-8419), 2020, 295(1): 210−217.

    [5]

    ULLOA A C, BUCHAN S A, DANEMAN N, et al. Estimates of SARS-CoV-2 Omicron variant severity in Ontario, Canada[J]. JAMA (S2574-3805), 2022, 327(13): 1286−1288.

    [6]

    WOLTER N, JASSAT W, WALAZA S, et al. Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: A data linkage study[J]. Lancet (S0140-6736), 2022, 399(10323): 437−446. doi: 10.1016/S0140-6736(22)00017-4

    [7]

    LEE J J, CHOE Y J, JEONG H, et al. Importation and transmission of SARS-CoV-2 B.1.1.529 (Omicron) variant of concern in Korea, November 2021[J]. Journal of Korean Medical Science (S1011-8934), 2021, 36(50): e346.

    [8] 余磊, 胡友涛, 毛仕, 等. 272例新型冠状病毒肺炎患者多项炎性免疫指标分析[J]. 检验医学与临床, 2021,18(2): 172−175. doi: 10.3969/j.issn.1672-9455.2021.02.008

    YU L, HU Y T, MAO S, et al. Analysis of multiple inflammatory immune indexes in 272 CoVID-19 patients[J]. Laboratory Medicine and Clinic, 2021, 18(2): 172−175. (in Chinese). doi: 10.3969/j.issn.1672-9455.2021.02.008

    [9] 冯世艳, 王凤新, 陈莉, 等. 新型冠状病毒肺炎重症患者的炎性指标及T淋巴细胞亚群情况分析[J]. 中国病毒病杂志, 2020,10(6): 435−438.

    FENG S Y, WANG F X, CHEN L, et al. Inflammatory indexes and T lymphocyte subsets in patients with severe coronavirus disease 2019 pneumonia[J]. Chinese Journal of Viral Diseases, 2020, 10(6): 435−438. (in Chinese).

    [10] 徐慧敏, 蒋慧荣, 陈鸿坤, 等. 272例新型冠状病毒肺炎患者胸部CT演变特点分析[J]. 医学理论与实践, 2021,34(12): 1996−1998.

    XU H M, JIANG H R, CHEN H K, et al. Retrospective analysis of chest CT of 272 cases with coronavirus disease 2019 (CovID-19)[J]. The Journal of Medical Theory and Practice, 2021, 34(12): 1996−1998. (in Chinese).

    [11]

    GLOCKER M O, OPUNI K F M, THIESEN H J. From free binding energy calculations of SARS-CoV-2-receptor interactions to cellular immune responses[J]. Medicina (Kaunas)(S1010-660X), 2022, 58(2): 226.

    [12]

    HOFFMANN M, KLEINE-WEBER H, SCHROEDER S, et al. SARS-CoV-2 Cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor[J]. Cell (S0092-8674), 2020, 181(2): 271−280.e8.

    [13] 丁宁, 陈诗恺, 孟俊, 等. 新型冠状病毒奥密克戎株核酸检测循环阈值与感染患者转阴周期的相关性及影响因素分析[J]. 诊断学理论与实践, 2022,21(2): 169−173. doi: 10.16150/j.1671-2870.2022.02.013

    DING N, CHEN S K, MENG J, et al. Correlation and influencing factors analysis of the cycle threshold value in detection of novel coronavirus nucleic acid (Omicron) and the negative conversion cycle in infected patients[J]. Journal of Diagnostics Concepts & Practice, 2022, 21(2): 169−173. (in Chinese). doi: 10.16150/j.1671-2870.2022.02.013

    [14]

    ITO N, KITAHARA Y, MIWATA K, et al. Comparison of COVID-19 pneumonia during the SARS-CoV-2 Omicron wave and the previous non-Omicron wave in a single facility[J]. Respiratory Investigation (S2212-5345), 2022, 60(6): 772−778. doi: 10.1016/j.resinv.2022.08.001

    [15]

    DELOREY T M, ZIEGLER C G K, HEIMBERG G, et al. COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets[J]. Nature (S0028-0836), 2021, 595(7865): 107−113.

    [16]

    BRIDGES J P, VLADAR E K, HUANG H, et al. Respiratory epithelial cell responses to SARS-CoV-2 in COVID-19[J]. Thorax (S0040-6376), 2022, 77(2): 203−209.

    [17] 李滋聪, 范兵, 张华, 等. 普通型及重型新型冠状病毒肺炎患者治疗前后的影像变化分析[J]. 江西医药, 2022,57(8): 890−892. doi: 10.3969/j.issn.1006-2238.2022.08.020
    [18]

    XU Z, SHI L, WANG Y, et al. Pathological findings of COVID-19 associated with acute respiratory distress syndrome[J]. Lancet Respiratory Medicine (S2213-2600), 2020, 8(4): 420−422. doi: 10.1016/S2213-2600(20)30076-X

    [19] 彭敏, 孙雪峰, 赵静, 等. 新型冠状病毒肺炎与间质性肺炎的鉴别诊断[J]. 协和医学杂志, 2020,11(6): 654−658. doi: 10.3969/j.issn.1674-9081.2020.06.001

    PENG M, SUN X F, ZHAO J, et al. Differential diagnosis between coronavirus disease 2019 and interstitial pneumonia[J]. Medical Journal of Peking Union Medical College Hospital, 2020, 11(6): 654−658. (in Chinese). doi: 10.3969/j.issn.1674-9081.2020.06.001

    [20] 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

  • 期刊类型引用(2)

    1. 李洋森,王伟,李炳颖,毛云新,刘晓晖. 分频AVO技术在西湖凹陷中深层薄储层评价中的应用. CT理论与应用研究(中英文). 2025(03): 409-418 . 百度学术
    2. 朱焱辉. 基于压缩感知的地震频带拓宽方法——以珠江口盆地东部惠州地区为例. 中外能源. 2023(06): 44-52 . 百度学术

    其他类型引用(0)

图(2)  /  表(5)
计量
  • 文章访问数:  309
  • HTML全文浏览量:  134
  • PDF下载量:  172
  • 被引次数: 2
出版历程
  • 收稿日期:  2023-03-12
  • 修回日期:  2023-04-17
  • 录用日期:  2023-04-18
  • 网络出版日期:  2023-05-08
  • 发布日期:  2023-05-30

目录

    /

    返回文章
    返回
    x 关闭 永久关闭