A Comparison of CT Manifestations Between Coronavirus Disease 2019 (COVID-19) and Other Types of Viral Pneumonia

Author:

Mao Haixia1ORCID,Li Xiaoshan2ORCID,Lin Xiaoming3ORCID,Zhou Lijuan1ORCID,Zhang Xiuping1ORCID,Cao Yang4ORCID,Jiang Yilun5ORCID,Chen Hongwei1ORCID,Fang Xiangming1ORCID,Gu Lan3ORCID

Affiliation:

1. Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi, China

2. Department of Lung Transplantation Center, Wuxi People's Hospital, Nanjing Medical University, Wuxi, China

3. Department of Radiology, Wuxi Fifth People's Hospital, Wuxi, China

4. Department of Radiology, Wuxi Huishan District People’ s Hospital, Wuxi, China

5. Department of Radiology, Wuxi Xishan District People’ s Hospital, Wuxi, China

Abstract

Background: Though imaging manifestations of COVID-19 and other types of viral pneumonia are similar, their clinical treatment methods differ. Accurate, non-invasive diagnostic methods using CT imaging can help develop an optimal therapeutic regimen for both conditions. Objectives: To compare the initial CT imaging features in COVID-19 with those in other types of viral pneumonia. Methods: Clinical and imaging data of 51 patients with COVID-19 and 69 with other types of viral pneumonia were retrospectively studied. All significant imaging features (Youden index >0.3) were included for constituting the combined criteria for COVID-19 diagnosis, composed of two or more imaging features with a parallel model. McNemar's chi-square test or Fisher's exact test was used to compare the validity indices (sensitivity and specificity) among various criteria. Results: Ground glass opacities (GGO) dominated density, peripheral distribution, unilateral lung, clear margin of lesion, rounded morphology, long axis parallel to the pleura, vascular thickening, and crazy-paving pattern were more common in COVID-19 (p <0.05). Consolidation-dominated density, both central and peripheral distributions, bilateral lung, indistinct margin of lesion, tree-inbud pattern, mediastinal or hilar lymphadenectasis, pleural effusion, and pleural thickening were more common in other types of viral pneumonia (p < 0.05). GGO-dominated density or long axis parallel to the pleura (with the highest sensitivity), and GGO-dominated density or long axis parallel to the pleura or vascular thickening (with the highest specificity) are well combined criteria of COVID-19. Conclusion: The initial CT imaging features are helpful for the differential diagnosis of COVID-19 and other types of viral pneumonia.

Funder

National Natural Science Foundation of China

Wuxi Municipal Bureau on Science and Technology and Wuxi Municipal Bureau on Finance

Publisher

Bentham Science Publishers Ltd.

Subject

Radiology, Nuclear Medicine and imaging

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