ISSN 1004-4140
CN 11-3017/P
Volume 32 Issue 5
Sep.  2023
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LIANG Y H, ZHONG X X, YAO X Q, et al. High-resolution Computed Tomography (HRCT) Characteristics of Coronavirus Disease 2019 (COVID-19) in Patients with Diabetes[J]. CT Theory and Applications, 2023, 32(5): 659-665. DOI: 10.15953/j.ctta.2023.031. (in Chinese).
Citation: LIANG Y H, ZHONG X X, YAO X Q, et al. High-resolution Computed Tomography (HRCT) Characteristics of Coronavirus Disease 2019 (COVID-19) in Patients with Diabetes[J]. CT Theory and Applications, 2023, 32(5): 659-665. DOI: 10.15953/j.ctta.2023.031. (in Chinese).
shu

High-resolution Computed Tomography (HRCT) Characteristics of Coronavirus Disease 2019 (COVID-19) in Patients with Diabetes

  • 1.

    Department of Radiology, Liuzhou Municipal Liutie Central Hospital, Liuzhou 545007, China

  • 2.

    Siemens Healthineers Ltd, Guangzhou 510080, China

More Information
  • Received Date: February 28, 2023
  • Revised Date: April 26, 2023
  • Accepted Date: April 27, 2023
  • Available Online: May 30, 2023
  • Published Date: September 21, 2023
    Graphical Abstract
    • Abstract
  • Objective: To explore the characteristics of high-resolution computed tomography (HRCT) in diabetes complicated with coronavirus disease 2019 (COVID-19)-associated pneumonia. Materials and Methods: This study included 584 patients (359 males and 225 females), aged between 60~99 years old (mean, (76±9) years), with positive chest computed tomography (CT) findings and diagnosed with COVID-19 in our hospital from December 14, 2022, to January 10, 2023. Of these, 225 patients were diabetic and 359 were non-diabetic. The features of the chest HRCT from patients with diabetes mellitus complicated with COVID-19 and those without diabetes mellitus complicated with COVID-19 were compared. Moreover, 363 patients in the acute stage of COVID-19 (defined as the time interval between onset and CT examination <7 days) were selected for subgroup analysis, and the HRCT characteristics of COVID-19 between the diabetes group and the non-diabetic group in the acute stage. Results: The location, distribution, morphology, and concomitant signs of pulmonary lesions between the two groups of patients with COVID-19 did not differ significantly. Conversely, statistically significant differences in density (fine mesh, uneven density) and lesion margin (fuzzy lesion margin) were detected. In particular, the grid, uneven, and fuzzy signs on lung imaging were significantly higher in the non-diabetic group than that in the diabetic group. Additionally, 54 patients (24%) in the diabetic group and 127 patients (35.38%) in the non-diabetic group demonstrated fine mesh shadows. There were 181 patients (80.44%) in the diabetic group and 313 patients (87.19%) in the non-diabetic group with uneven density. Furthermore, 205 patients (91.11%) in the diabetic group and 344 patients (95.82%) in the non-diabetic group had blurred edges. There was significantly less pulmonary grid shadowing in the acute subgroup with diabetes (35, 24.65%) than in the acute subgroup without diabetes (82, 37.10%). Conclusion: The features of chest HRCT in patients with diabetes mellitus and COVID-19 are mainly exudation, uniform density, and a clear edge, while the interstitial changes are not obvious compared with patients in the non-diabetic group.
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    • References (19)
  • [1]
    ZHU N, ZHANG D Y, WANG W L, et al. A novel coronavirus from patients with pneumonia in China, 2019[J]. The New England Journal of Medicine, 2020, 382(8): 727−733. doi: 10.1056/NEJMoa2001017
    [2]
    国家卫生健康委办公厅, 国家中医药局综合司. 《新型冠状病毒感染诊疗方案(试行第十版)》[EB/OL].(2023-01-05)[2023-01-06]. http://www.nhc.gov.cn/ylyjs/pqt/202301/32de5b2ff9bf4eaa88e75bdf7223a65a/files/02ec13aadff048ffae227593a6363ee8.pdf.
    [3]
    WU R, GUAN W, GAO Z, 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.
    [4]
    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
    [5]
    郑颖彦, 马昕, 王慧英, 等. 新型冠状病毒肺炎的薄层高分辨率计算机断层扫描征象[J]. 上海医学, 2020,43(5): 261−265.

    ZHENG Y Y, MA X, WANG H Y, et al. Thin high-resolution computed tomography findings of novel coronavirus pneumonia[J]. Shanghai Medical Science, 2020, 43(5): 261−265. (in Chinese).
    [6]
    国家卫生健康委办公厅, 国家中医药管理局办公室. 《新型冠状病毒感染的肺炎诊疗方案(试行第五版)》[EB/OL]. (2020-02-05) [2020-02-10]. http://bgs.satcm.gov.cn/zhengcewenjian/2020-02-06/12847.html.
    [7]
    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
    [8]
    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.
    [9]
    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.
    [10]
    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
    [11]
    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
    [12]
    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. Value of CT imaging combined signs in distinguishing novel coronavirus pneumonia from other viral pneumonia[J]. Chinese Journal of Radiology, 2022, 56(1): 36−42. (in Chinese). doi: 10.3760/cma.j.cn112149-20201220-01318
    [13]
    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. CT imaging evolution analysis of novel coronavirus pneumonia 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
    [14]
    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, 37(7): 1074-1076, 1130.

    LI S H, ZENG X J, YAN H L, et al. Thin-slice CT evaluation of novel coronavirus pneumonia[J]. Journal of Practical Radiology, 37(7): 1074-1076, 1130. (in Chinese).
    [15]
    张庆, 熊浩, 彭婕, 等. 胸部CT对新型冠状病毒肺炎的诊断价值[J]. 中国医学影像学杂志, 2020, 28(12): 896-898.

    ZHANG Q, XIONG H, PENG J, et al. Diagnostic value of chest CT in the diagnosis of novel coronavirus pneumonia[J]. Chinese Journal of Medical Imaging, 2020, 28(12): 896-898. (in Chinese).
    [16]
    纪丙军, 齐庆梅, 王聪, 等. 新型冠状病毒肺炎与其他社区获得性肺炎不同病期的CT表现及动态分析[J]. 实用放射学杂志, 2021, 37(8): 1266-1270.

    JI B J, QI Q M, WANG C, et al. CT findings and dynamic analysis of novel coronavirus pneumonia and other community-acquired pneumonia at different stages[J]. Journal of Applied Radiology, 2021, 37(8): 1266-1270. (in Chinese).
    [17]
    刘茜, 王荣帅, 屈国强, 等. 新型冠状病毒肺炎死亡尸体系统解剖大体观察报告[J]. 法医学杂志, 2020,36(1): 1−3. DOI: 10.12116/j.issn.1004-5619.2020.01.00.

    LIU Q, WANG R S, QU G Q, et al. A report on the general observation of the systematic autopsy of the deceased from novel coronavirus pneumonia[J]. Journal of Forensic Medicine, 2020, 36(1): 1−3. DOI: 10.12116/j.issn.1004-5619.2020.01.00. (in Chinese).
    [18]
    SHI H, HAN X, JIANG N, et al. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: A descriptive study[J]. Lancet Infectious Diseases, 2020, 20(4): 425−434. DOI: 10.1016/S1473-3099(20)30086-4.
    [19]
    TANG X, DU R H, WANG R, et al. Comparison of hospitalized patients with ARDS caused by COVID-19 and H1N1[J]. Chest, 2020, 158(1): 195−205. DOI: 10.1016/J.chest.2020.03.032.
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