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How to differentiate COVID-19 pneumonia from heart failure with computed tomography at initial medical contact during epidemic period (preprint)
medrxiv; 2020.
Preprint
in English
| medRxiv | ID: ppzbmed-10.1101.2020.03.04.20031047
ABSTRACT
OBJECTIVES To compare chest CT findings in heart failure with those of Corona Virus Disease 2019 (COVID-19) pneumonia. BACKGROUND During epidemic period, chest computed tomography (CT) has been highly recommended for screening patients with suspected COVID-19. However, the comparison of CT imaging between heart failure and COVID-19 pneumonia has not been fully elucidated. METHODS Patients with heart failure (n=12), COVID-19 pneumonia (n=12) and one patient with both diseases were retrospectively enrolled. Clinical information and imaging of chest CT were collected and analyzed. RESULTS There was no difference of ground glass opacity (GGO), consolidation, crazy paving pattern, lobes affected and septal thickening between heart failure and COVID-19 pneumonia. However, less rounded morphology (8.3% vs. 67%, p=0.003), more peribronchovascular thickening (75% vs. 33%, p=0.041) and fissural thickening (33% vs. 0%, p=0.028), less peripheral distribution (33% vs. 92%, p=0.003) were found in heart failure group than that in COVID-19 group. Importantly, there were also more patients with upper pulmonary vein enlargement (75% vs. 8.3%, p=0.001), subpleural effusion and cardiac enlargement in heart failure group than that in COVID-19 group (50% vs. 0%, p=0.005, separately). Besides, more fibrous lesions were found in COVID-19 group although there was no statistical difference (25% vs. 0%, P=0.064) CONCLUSIONS Although there are some overlaps of CT imaging between heart failure and COVID-19, CT is still a useful tool in differentiating COVID-19 pneumonia.
Full text:
Available
Collection:
Preprints
Database:
medRxiv
Main subject:
Penile Induration
/
Pleural Effusion
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Pneumonia
/
Virus Diseases
/
Cardiomegaly
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Upper Extremity Deep Vein Thrombosis
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COVID-19
/
Heart Failure
Language:
English
Year:
2020
Document Type:
Preprint
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