Article ; Online: Effectiveness of COVID-19 diagnosis and management tools: A review.
Radiography (London, England : 1995)
2020 Volume 27, Issue 2, Page(s) 682–687
Abstract: Objective: To review the available literature concerning the effectiveness of the COVID-19 diagnostic tools.: Background: With the absence of specific treatment/vaccines for the coronavirus COVID-19, the most appropriate approach to control this ... ...
Abstract | Objective: To review the available literature concerning the effectiveness of the COVID-19 diagnostic tools. Background: With the absence of specific treatment/vaccines for the coronavirus COVID-19, the most appropriate approach to control this infection is to quarantine people and isolate symptomatic people and suspected or infected cases. Although real-time reverse transcription-polymerase chain reaction (RT-PCR) assay is considered the first tool to make a definitive diagnosis of COVID-19 disease, the high false negative rate, low sensitivity, limited supplies and strict requirements for laboratory settings might delay accurate diagnosis. Computed tomography (CT) has been reported as an important tool to identify and investigate suspected patients with COVID-19 disease at early stage. Key findings: RT-PCR shows low sensitivity (60-71%) in diagnosing patients with COVID-19 infection compared to the CT chest. Several studies reported that chest CT scans show typical imaging features in all patients with COVID-19. This high sensitivity and initial presentation in CT chest can be helpful in rectifying false negative results obtained from RT-PCR. As COVID-19 has similar manifestations to other pneumonia diseases, artificial intelligence (AI) might help radiologists to differentiate COVID-19 from other pneumonia diseases. Conclusion: Although CT scan is a powerful tool in COVID-19 diagnosis, it is not sufficient to detect COVID-19 alone due to the low specificity (25%), and challenges that radiologists might face in differentiating COVID-19 from other viral pneumonia on chest CT scans. AI might help radiologists to differentiate COVID-19 from other pneumonia diseases. Implication for practice: Both RT-PCR and CT tests together would increase sensitivity and improve quarantine efficacy, an impact neither could achieve alone. |
---|---|
MeSH term(s) | Artificial Intelligence ; COVID-19/diagnosis ; COVID-19 Nucleic Acid Testing ; COVID-19 Testing/methods ; Humans ; Lung/diagnostic imaging ; Radiography, Thoracic/methods ; SARS-CoV-2 ; Sensitivity and Specificity ; Tomography, X-Ray Computed |
Keywords | covid19 |
Language | English |
Publishing date | 2020-09-21 |
Publishing country | Netherlands |
Document type | Journal Article ; Review |
ZDB-ID | 1289102-2 |
ISSN | 1532-2831 ; 1078-8174 |
ISSN (online) | 1532-2831 |
ISSN | 1078-8174 |
DOI | 10.1016/j.radi.2020.09.010 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
More links
Kategorien
In stock of ZB MED Cologne/Königswinter
Zs.A 4438: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG) |
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.