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Bellini, Davide; Panvini, Nicola; Carbone, Iacopo; Rengo, Marco; Wang, Carolyn L.; Mileto, Achille

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

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  • Medientyp: E-Artikel
  • Titel: 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
  • Beteiligte: Bellini, Davide; Panvini, Nicola; Carbone, Iacopo; Rengo, Marco; Wang, Carolyn L.; Mileto, Achille
  • Erschienen: Ovid Technologies (Wolters Kluwer Health), 2020
  • Erschienen in: Journal of Computer Assisted Tomography
  • Sprache: Englisch
  • DOI: 10.1097/rct.0000000000001105
  • ISSN: 1532-3145; 0363-8715
  • Schlagwörter: Radiology, Nuclear Medicine and imaging
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:sec> <jats:title>Objective</jats:title> <jats:p>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.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>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.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>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%.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>CT yields higher specificity and PPV, albeit lower sensitivity, than previously reported for the identification of COVID-19.</jats:p> </jats:sec>