Identify Coronavirus Disease by Chest X-ray
Study Details
Study Description
Brief Summary
to identify the diagnostic accuracy of chest X-ray in diagnosis of Coronavirus disease19 .
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
|
Detailed Description
The pandemic related to the coronavirus is now considered one of the deadliest epidemics. The numbers of cases exponentially increased with no specific treatment, creating havoc for the health and financial systems of the world [1-6]. Wuhan, the capital city of Hubei in China, reported the earliest cases that were treated as an unusual pneumonia. With the disease progression, the World Health Organization (WHO) announced the presence of several similar cases [7, 8]. Researchers revealed that a novel strain of the family Coronaviridae is the pathogen responsible for the respiratory illness of this disease and this is simulating two previous epidemics, namely MERS (Middle Eastern respiratory syndrome) and SARS (severe acute respiratory syndrome). The disease induced by SARS-CoV-2 was labelled as COVID-19 by the International Classification of Diseases (ICD) [9]. Chest radiographs are usually of limited value in the diagnosis of early stages especially in mild disease course; however, the CT findings may be present early even before the onset of the symptoms. Chest radiographs is very helpful in the intermediate to advanced stages of COVID-19 with features of acute respiratory distress syndrome (ARDS) as well as the follow-up [10-11]. This study to determine the COVID-19 disease course and severity using chest X-ray (CXR) scoring system and correlate these with patients' age, sex, and outcome.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Mild illness individuals who have any of the various signs and symptoms of covid-19 (e.g., fever, cough, sore throat, malaise, headache, muscle pain, nausea, vomiting, diarrhea, loss of taste and smell) but who do not have shortness of breath, dyspnea, or abnormal chest imaging findings . |
Radiation: chest X-ray
Chest Xray : postero-anterior view ,digital high resolution X-ray or ,full inspiratory
|
| Moderate illness individuals who show evidence of lower respiratory tract disease during clinical assessment or imaging and who have an oxygen saturation (SpO2) ≥94% on room air . |
Radiation: chest X-ray
Chest Xray : postero-anterior view ,digital high resolution X-ray or ,full inspiratory
|
| Severe illness individuals who have spO2<94% on room air, a ratio of arterial partial pressure of oxygen to fraction of inspired oxygen (PaO2/FiO2)<300 mm hg, respiratory frequency>30 breaths/min, or lung infiltrate >50%. |
Radiation: chest X-ray
Chest Xray : postero-anterior view ,digital high resolution X-ray or ,full inspiratory
|
Outcome Measures
Primary Outcome Measures
- sensitivity and specificity of initial CXR, where it is reported as having classic COVID-19 features in different clinical severity presentation correlation of xray finding with clinical and laboratory finding. [baseline]
to identify the accuracy of chest x-ray in diagnosis of classical covid19 according to the severity of the clinical presentation and laboratory finding
Eligibility Criteria
Criteria
Inclusion Criteria:
-
All individuals attending the Radiodiagnosis Department , who had paired posterior-anterior chest radiographs and RT-PCR nasopharyngeal swabs for COVID-19 at the time of initial attendance with moderate to advanced stage.
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The patients have positive finding in the posterior-anterior chest radiographs , multislice computer tomography and RT-PCR nasopharyngeal swabs for COVID-19.
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The patients with positive finding in the laboratory investigation (CBC, CRP ,ESR , S.Ferritin & D-Dimmer) .
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Patients with positive chest-CT finding and laboratory finding despite of having negative PCR swab
Exclusion Criteria:
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Patients exceeding 30 days after positive RT-PCR .
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Patients diagnosed with mediastinal lymphadenopathy , masses ,Tree in bud appearance ,Pneumothorax. Or Cavitation.
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Assiut University | Assiut | Egypt | 71515 |
Sponsors and Collaborators
- Assiut University
Investigators
- Study Chair: Nagham Nabil Mahmoud, Professor, Radiodiagnosis Department - Faculty of Medicine - Assiut University
- Study Director: Hosameldeen Abozaid Yousef, Associate Professor, Radiodiagnosis Department - Faculty of Medicine - Assiut University
- Study Director: Aliaa Abd-Raboh Mohamed, Professor, Department of Chest Diseases Faculty of Medicine - Assiut University
- Principal Investigator: Mohamed abdelwahab Ibrahim, bachelor, Radiodiagnosis Resident, Assiut Chest Hospital
Study Documents (Full-Text)
None provided.More Information
Publications
- Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, Xia J, Yu T, Zhang X, Zhang L. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7. Epub 2020 Jan 30.
- Cheng VC, Lau SK, Woo PC, Yuen KY. Severe acute respiratory syndrome coronavirus as an agent of emerging and reemerging infection. Clin Microbiol Rev. 2007 Oct;20(4):660-94. Review.
- Custro N, Scafidi V, Borsellino T. [Changes in the thyroid hormone picture that may be found in severely decompensated type II diabetics]. Minerva Med. 1991 Jan-Feb;82(1-2):9-14. Italian.
- Litmanovich DE, Chung M, Kirkbride RR, Kicska G, Kanne JP. Review of Chest Radiograph Findings of COVID-19 Pneumonia and Suggested Reporting Language. J Thorac Imaging. 2020 Nov 1;35(6):354-360. doi: 10.1097/RTI.0000000000000541. Review.
- Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, Wang B, Xiang H, Cheng Z, Xiong Y, Zhao Y, Li Y, Wang X, Peng Z. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA. 2020 Mar 17;323(11):1061-1069. doi: 10.1001/jama.2020.1585. Erratum in: JAMA. 2021 Mar 16;325(11):1113.
- x-ray in covid19