ISSN 1004-4140
CN 11-3017/P
霍萌, 李玲, 孙莹, 等. 不同中性粒细胞与淋巴细胞比值组间COVID-19胸部HRCT表现分析[J]. CT理论与应用研究, 2023, 32(3): 387-394. DOI: 10.15953/j.ctta.2023.027.
引用本文: 霍萌, 李玲, 孙莹, 等. 不同中性粒细胞与淋巴细胞比值组间COVID-19胸部HRCT表现分析[J]. CT理论与应用研究, 2023, 32(3): 387-394. DOI: 10.15953/j.ctta.2023.027.
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HUO M, LI L G, SUN Y, et al. Analysis of Coronavirus Disease 2019 Chest High-resolution Computed Tomography Manifestations between Groups with Different Neutrophil- to-Lymphocyte Ratios[J]. CT Theory and Applications, 2023, 32(3): 387-394. DOI: 10.15953/j.ctta.2023.027. (in Chinese).
Citation: HUO M, LI L G, SUN Y, et al. Analysis of Coronavirus Disease 2019 Chest High-resolution Computed Tomography Manifestations between Groups with Different Neutrophil- to-Lymphocyte Ratios[J]. CT Theory and Applications, 2023, 32(3): 387-394. DOI: 10.15953/j.ctta.2023.027. (in Chinese).
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不同中性粒细胞与淋巴细胞比值组间COVID-19胸部HRCT表现分析

Analysis of Coronavirus Disease 2019 Chest High-resolution Computed Tomography Manifestations between Groups with Different Neutrophil- to-Lymphocyte Ratios

    摘要
  • 摘要: 目的：探讨中性粒细胞与淋巴细胞比（NLR）与COVID-19胸部HRCT表现的相关性。材料与方法：回顾性分析132例于2022年12月1日至2023年2月1日就诊于首都医科大学附属北京世纪坛医院感染科确诊COVID-19患者的NLR与胸部HRCT，以NLR截断值3.0把患者分为两组，分析其HRCT影像特征、影像表现模式。对于正态分布的计量资料组间采用连续变量的t检验；对于非正态分布的数据以中位数、四分位数表示，通过Mann-Whitney U检验进行比较；对于计数资料通过频率表示，并采用卡方检验或Fisher精确检验进行组间比较。结果：低NLR组比高NLR组有更多的≤5个病灶及病灶占比≤10％，高NLR组比低NLR组有更多的病灶数目＞10个及病灶占比＞50％；高NLR组比低NLR组更易出现混合密度影、铺路石征、马赛克征、反晕征、胸膜下黑带、拱廊征、牵拉支扩；高NLR组比低NLR组更易表现为非特异性间质性肺炎样、机化性肺炎样、弥漫肺泡损伤样改变。结论：不同NLR其COVID-19胸部HRCT表现不同，高NLR组更易出现混合密度影、铺路石征、马赛克征、反晕征、胸膜下黑带、拱廊征、牵拉支扩；影像表现模式更易表现为非特异性间质型肺炎、机化性肺炎、弥漫性肺泡损伤。

     

    Abstract: Objective: This study aimed to investigate the correlation between the neutrophil-to-lymphocyte ratio (NLR) and chest high-resolution computed tomography (HRCT) findings of coronavirus disease 2019 (COVID-19). Materials and Methods: NLR and chest HRCT findings of 132 patients diagnosed with COVID-19 in the department of infectious diseases of Beijing Shijitan Hospital Capital Medical University from December 1, 2022 to February 1, 2023 were retrospectively analyzed. The patients were divided into two groups with NLR cut-off value of 3.0, and their HRCT characteristics and imaging manifestation patterns were analyzed. For the measurement data of normal distribution, the t-test of continuous variables was used between the groups. The data of non-normal distribution are expressed as median and quartile and compared using Mann-Whitney U test. The counting data are expressed as frequency, and the chi-squared or Fisher's exact test was used for comparison between the groups. P<0.05 indicates that the difference is statistically significant. Results: The number of lesions ≤5 and the proportion of lesions ≤10% were higher in the low NLR group than that in the high NLR group. The number of lesions >10 and the proportion of lesions >50% were higher in the high NLR group than that in the low NLR group. The high NLR group was prone to mixed density shadow, crazy-paving pattern, mosaic sign, anti-halo sign, subpleural black belt, arcade-like sign than that in the low NLR group. The high NLR group was most likely to have nonspecific interstitial pneumonia-like, organizing pneumonia-like, and diffuse alveolar damage-like patterns than that in the low NLR group. Conclusion: Different NLRs have different manifestations of COVID-19 chest HRCT. The high NLR group is more prone to mixed density shadow, crazy-paving pattern, mosaic sign, anti-halo sign, subpleural black belt, and arcade-like sign, as well as most likely to have radiologic patterns of nonspecific interstitial pneumonia, organizing pneumonia, diffuse alveolar damage.

     

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