Chest computed tomography as a primary tool in COVID-19 detection: an update meta-analysis.
COVID-19 detection
Chest CT
Meta-analysis
RT-PCR
Journal
Clinical and translational imaging
ISSN: 2281-5872
Titre abrégé: Clin Transl Imaging
Pays: Italy
ID NLM: 101616225
Informations de publication
Date de publication:
2021
2021
Historique:
received:
12
02
2021
accepted:
19
05
2021
pubmed:
1
6
2021
medline:
1
6
2021
entrez:
31
5
2021
Statut:
ppublish
Résumé
A growing number of publications have paid close attention to the chest computed tomography (CT) detection of COVID-19 with inconsistent diagnostic accuracy, the present meta-analysis assessed the available evidence regarding the overall performance of chest CT for COVID-19. 2 × 2 diagnostic table was extracted from each of the included studies. Data on specificity (SPE), sensitivity (SEN), negative likelihood ratio (LR-), positive likelihood ratio (LR+), and diagnostic odds ratio (DOR) were calculated purposefully. Fifteen COVID-19 related publications met our inclusion criteria and were judged qualified for the meta-analysis. The following were summary estimates for diagnostic parameters of chest CT for COVID-19: SPE, 0.49 (95% CI 46-52%); SEN, 0.94 (95% CI 93-95%); LR-, 0.15 (95% CI 11-20%); LR+, 1.93 (95% CI 145-256%); DOR, 17.14 (95% CI 918-3199%); and the area under the receiver operating characteristic curve (AUC), 0.93. Chest CT has high SEN, but the SPE is not ideal. It is highly recommended to use a combination of different diagnostic tools to achieve sufficient SEN and SPE. It should be taken into account as a diagnostic tool for current COVID-19 detection, especially for patients with symptoms. The online version contains supplementary material available at 10.1007/s40336-021-00434-z.
Identifiants
pubmed: 34055674
doi: 10.1007/s40336-021-00434-z
pii: 434
pmc: PMC8149579
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
341-351Informations de copyright
© Italian Association of Nuclear Medicine and Molecular Imaging 2021.
Déclaration de conflit d'intérêts
Conflict of interestThe authors declare that they have no competing interests.
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