Clin Radiol. Imaging manifestations and diagnostic value of chest CT of coronavirus disease 2019 (COVID-19) in the Xiaogan area

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Clin Radiol. 2020 Mar 23. pii: S0009-9260(20)30088-X. doi: 10.1016/j.crad.2020.03.004. [Epub ahead of print]
Imaging manifestations and diagnostic value of chest CT of coronavirus disease 2019 (COVID-19) in the Xiaogan area.


Wang K¹, Kang S², Tian R³, Zhang X¹, Zhang X⁴, Wang Y³.

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Abstract

AIM:

To report the epidemiological, clinical, and radiological characteristics of patients with COVID-19 in Xiaogan, Hubei, China.
MATERIALS AND METHODS:

The complete clinical and imaging data of 114 confirmed COVID-19 patients treated in Xiaogan Hospital were analysed retrospectively. Data were gathered regarding the presence of chest computed tomography (CT) abnormalities; the distribution, morphology, density, location, and stage of abnormal shadows on chest CT; and observing the correlation between the severity of chest infection and lymphocyte ratio and blood oxygen saturation (SPO₂) in patients.
RESULTS:

Chest CT revealed abnormal lung shadows in 110 patients. Regarding lesion distribution, multi-lobe lesions in both lungs were present in most patients (80 cases; 72.7%). Lesions most frequently involved both the peripheral zone and the central zone (62 cases; 56.4%). Regarding lesion morphology, 56 cases (50.1%) demonstrated patchy shadows that were partially fused into large areas. Thirty cases showed ground-glass opacity (27.3%), 30 cases showed the consolidation change (27.3%), and the remaining 50 cases showed both types of changes (45.4%). The progressing stage was the most common stage (54 cases; 49.1%). CT results showed a negative correlation with SPO₂ and lymphocyte numbers (p<0.05), with r-values of -0.446 and -0.780, respectively.
CONCLUSION:

Spiral CT is a sensitive examination method, which can be applied to make an early diagnosis and for evaluation of progression, with a diagnostic sensitivity and accuracy better than that of nucleic acid detection.
Copyright ? 2020 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.



PMID:32216961DOI:10.1016/j.crad.2020.03.004