Diagnostic accuracy and interobserver variability of CO-RADS in patients with suspected coronavirus disease-2019: a multireader validation study.

Andrea LaghiNicola PanviniMarco RengoSimone ViciniMiriam LichtnerTiziana TieghiDea IppolitiFederica GiulioElena OrlandoMario IozzinoMaria Grazia CiolfiSarah MontechiarelloUgo d'AmbrosioEmanuele d'AdamoChiara GambarettoStefano PannoVanessa CaldonCesare AmbrogiIacopo Carbone

Published in: European radiology (2020)

• COVID-19 Reporting and Data System (CO-RADS) demonstrated a good diagnostic accuracy for lung involvement by COVID-19 with an average AUC of 0.72 (95% CI 67-75%). • When a threshold of ≥ 4 was used, sensitivity and specificity were 61% (95% CI 52-69%) and 81% (95% CI 76-84%), respectively. • There was an overall moderate agreement for CO-RADS rating across readers with different levels of expertise (Fleiss' K = 0.43 [95% CI 0.42-0.44]).

Keyphrases

coronavirus disease
sars cov
respiratory syndrome coronavirus
high intensity
emergency department
machine learning
structural basis