Analysis of Clinical and Imaging Characteristics of Suspected and Confirmed COVID-19 Patients
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Keywords

Suspected
Diagnosis
COVID-19 biochemical indexes
Chest CT image

DOI

10.26689/jcnr.v6i1.2875

Submitted : 2021-12-20
Accepted : 2022-01-04
Published : 2022-01-19

Abstract

Objective: To analyze the clinical characteristics and chest CT imaging characteristics of patients with confirmed COVID-19 (COVID-19) and patients with suspected COVID-19. Methods: The study time span was from February 2020 to May 2020. The case samples were selected from 72 patients with confirmed covid-19 and suspected covid-19 diagnosed and treated by The First People’s Hospital of Yinchuan and Yinchuan Temporary Emergency Hospital, including 38 patients with confirmed covid-19 and 34 patients with suspected covid-19. All patients underwent laboratory examination and chest CT examination, and the specific examination results were compared and analyzed. Results: There were significant differences in number of white blood cell, percentage of lymphocytes, creatine kinase and erythrocyte sedimentation rate between confirmed and suspected COVID-19 patients (P<0.05). The CT imaging characteristics of COVID-19 patients were compared with those of suspected COVID-19 patients. The lesions of COVID-19 patients were mostly characterized by mixed ground glass density and pure ground glass density. There were vascular thickening and interstitial thickness increase, and accompanied by bronchiectasis or air bronchogram. The distribution of lesions was mostly subpleural without pleural effusion. The lesion area of suspected COVID-19 patients mostly showed solid density and mixed ground glass density. The lesion was distributed along bronchovascular and pleural effusion was observed. Conclusion: There are some differences in biochemical indexes and chest CT images between confirmed and suspected covid-19 patients, which can be used for differential diagnosis.

References

Hou KK, Zhang N, Li T, et al., 2020, CT Findings and Changes of Neutrophil/ Lymphocyte Ratio and T Lymphocyte Subsets at Different Stages of COVID-19. Radiologic Practice, 35(3): 272-276.

Chen T, Jiang ZY, Xu W, et al., 2020, Clinical and CT IImaging Features of 76 Patients with COVID 19. Journal of Jinan University (Natural Science and Medicine), 41(2): 157-162.

Wu JL, Shen J, 2020, The Importance and Scientific Evaluation of CT in the Diagnosis and Treatment of COVID-19. Journal of Dalian Medical University, 42(1): 1-4.

Cheng YL, Zheng SF, Shi MG, et al., 2020, Analysis of the Disinfection Effect of Different Disinfection Methods on Special CT Machine for Pneumonia during COVID-19 Epidemic Period. China Medical Devices, 35(6): 16-18, 30.

Xia M, Yan LJ, Xiong MC, et al., 2020, Analysis of Chest CT Findings in 30 Patients with COVID-19 in Ezhou city, Hubei Province. Shandong Medical Journal, 60(5): 48-50.

Zhang N, Zou MY, Zhou S, 2020, Application of LOW-dose CT Scanning Combined with AI-assisted Diagnostic System in COVID-19 Examination. Chinese Medical Equipment Journal, 41(5): 9-11, 15.

Wei MQ, Li N, Shi MG, et al., 2020, Application Value of MPR Reconstruction Technique in CT Diagnosis of Early COVID-19 Patients. China Medical Devices, 35(6): 13-15.

Zhu ZX, Zhang Q, Xu W, et al., 2020, Analysis of CT Findings in 82 Cases of COVID-19 in Wuhan Area. Journal of Southwest University (Social Sciences Edition), 42(5): 36-41.