Diagnostic Yield of Computed Tomography for the Identification of Coronavirus Disease 2019 Using Repeated Reverse Transcriptase Polymerase Chain Reaction Testing or Confirmed True-Negative State as Reference Standard: Systematic Review and Meta-Analysis

Autor: Carolyn L. Wang, Nicola Panvini, Achille Mileto, Davide Bellini, Marco Rengo, Iacopo Carbone
Rok vydání: 2020
Předmět:
medicine.medical_specialty
Coronavirus disease 2019 (COVID-19)
Pneumonia
Viral
Prevalence
X-ray computed
COVID-19
ROC curve
sensitivity and specificity
severe acute respiratory syndrome coronavirus 2
tomography
Gastroenterology
030218 nuclear medicine & medical imaging
law.invention
Betacoronavirus
03 medical and health sciences
COVID-19 Testing
0302 clinical medicine
Reference Values
law
Internal medicine
medicine
Humans
Radiology
Nuclear Medicine and imaging
Lung
Pandemics
Polymerase chain reaction
Clinical Laboratory Techniques
Reverse Transcriptase Polymerase Chain Reaction
SARS-CoV-2
business.industry
Reproducibility of Results
Odds ratio
Reverse transcriptase
Confidence interval
Radiology Nuclear Medicine and imaging
Meta-analysis
Diagnostic odds ratio
Coronavirus Infections
Tomography
X-Ray Computed
business
030217 neurology & neurosurgery
Zdroj: Journal of Computer Assisted Tomography
ISSN: 1532-3145
0363-8715
Popis: Objective The aim of this study was to perform a meta-analysis assessing the diagnostic yield of computed tomography (CT) for the identification of coronavirus disease 2019 (COVID-19) using repeated reverse transcriptase polymerase chain reaction testing or confirmed true-negative state as reference standard. Methods In May 2020, we interrogated the MEDLINE, Embase, and CENTRAL databases. Pooled sensitivity, specificity, and diagnostic odds ratios of CT for COVID-19 identification were computed. Cumulative positive predictive value (PPV) and negative predictive value, stratified by disease prevalence, were calculated. Results Ten articles were included (1332 patients). Pooled sensitivity, specificity, and summary diagnostic odds ratio of CT were 82% [95% confidence interval (CI), 79%-84%], 68% (95% CI, 65%-71%), and 18 (95% CI, 9.8-32.8). The PPV and negative predictive value were 54% (95% CI, 30%-77%) and 94% (95% CI, 88%-99%) at a COVID-19 prevalence lower than 40%, and 80% (95% CI, 62%-91%) and 77% (95% CI, 68%-85%) at a prevalence higher than 40%. Conclusion CT yields higher specificity and PPV, albeit lower sensitivity, than previously reported for the identification of COVID-19.
Databáze: OpenAIRE
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