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Chest CT Scan Involvement Patterns in Patients with Suspected Covid-19 Symptoms
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Somayeh Zeynizadeh Jeddi    , Mahzad Yousefian * , Hamed Razmjoo Jelodar |
| Department of Anesthesiology, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran , Dr_mahzad@yahoo.com |
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Abstract: (847 Views) |
Background & objectives: Lung involvement is crucial in patients with Covid-19. The CT scan plays a key role in diagnosing of this disease. This study aimed to survey CT scan involvement patterns in patients with suspected Covid-19 symptoms.
Methods: The present study was cross-sectional,analytical in which the statistical population was patients with typical clinical symptoms of Covid-19 who were referred to the hospital imaging center from March 2019 to May 2019. A total of 301 patients were randomly selected as a sample. Data analysis was performed using SPSS version 26 at a significance level of 0.05.
Results: The average age of the participants in the study was 54.6±17.6. 151 patients (50.2%) were male. 255 patients (84.7%) were treated on an outpatient basis, 37 patients (12.3%) were treated in the Non ICU ward and nine patients (3%) were treated in the intensive care unit(ICU). One hundred sixty eight patients (55.8%) with grand glass conflict, 25 patients (8.3%) with consolidation conflict, 49 patients (16.3%) with linear turbidity were identified while 44 patients (14.6%) had crazy paving, 7 patients (2.3%) had small nodules and 45 patients (15%) had round opacities on contrast-free CT scan. The pattern of conflict in the form of linear turbidity was directly and significantly related to the severity of the disease.
Conclusion: Imaging findings in patients with Covid-19 have a wide range. Despite these findings, attention should be paid to less common and rare signs and symptoms that can help make the right decision and more definitive diagnosis of the disease.
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Article number: 6 |
| Keywords: Covid-19, Pneumonia, CT Scan |
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Full-Text [PDF 224 kb]
(225 Downloads)
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Type of Study: article |
Subject:
Radiology
Received: 2022/06/5 | Accepted: 2022/10/5 | Published: 2022/10/16
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