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Efficacy of chest X-ray in the diagnosis of COVID-19 pneumonia: comparison with computed tomography through a simplified scoring system designed for triage
- Source :
- The Egyptian Journal of Radiology and Nuclear Medicine, Vol 52, Iss 1, Pp 1-9 (2021), The Egyptian Journal of Radiology and Nuclear Medicine
- Publication Year :
- 2021
- Publisher :
- SpringerOpen, 2021.
-
Abstract
- Background There is no consensus on the imaging modality to be used in the diagnosis and management of Coronavirus disease 2019 (COVID-19) pneumonia. The purpose of this study was to make a comparison between computed tomography (CT) and chest X-ray (CXR) through a scoring system that can be beneficial to the clinicians in making the triage of patients diagnosed with COVID-19 pneumonia at their initial presentation to the hospital. Results Patients with a negative CXR (30.1%) had significantly lower computed tomography score (CTS) (p < 0.001). Among the lung zones where the only infiltration pattern was ground glass opacity (GGO) on CT images, the ratio of abnormality seen on CXRs was 21.6%. The cut-off value of X-ray score (XRS) to distinguish the patients who needed intensive care at follow-up (n = 12) was 6 (AUC = 0.933, 95% CI = 0.886–0.979, 100% sensitivity, 81% specificity). Conclusions Computed tomography is more effective in the diagnosis of COVID-19 pneumonia at the initial presentation due to the ease detection of GGOs. However, a baseline CXR taken after admission to the hospital can be valuable in predicting patients to be monitored in the intensive care units.
- Subjects :
- medicine.medical_specialty
Scoring system
Coronavirus disease 2019 (COVID-19)
R895-920
Computed tomography
Ground-glass opacity
030218 nuclear medicine & medical imaging
03 medical and health sciences
Medical physics. Medical radiology. Nuclear medicine
0302 clinical medicine
Intensive care
X-rays
medicine
Radiology, Nuclear Medicine and imaging
Tomography
Ct
medicine.diagnostic_test
business.industry
Research
medicine.disease
Triage
Pneumonia
030220 oncology & carcinogenesis
Radiology
medicine.symptom
business
Covid-19
Zones of the lung
Subjects
Details
- Language :
- English
- ISSN :
- 20904762
- Volume :
- 52
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- The Egyptian Journal of Radiology and Nuclear Medicine
- Accession number :
- edsair.doi.dedup.....fa84df4c3cf2f926976978a2166d79d3