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

COVID-19 ROC curve Sensitivity and specificity Severe acute respiratory syndrome coronavirus 2 Tomography, X-ray computed

Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 07 06 2020
accepted: 08 09 2020
revised: 10 08 2020
pubmed: 25 9 2020
medline: 15 4 2021
entrez: 24 9 2020
Statut: ppublish

Résumé

To conduct a multireader validation study to evaluate the interobserver variability and the diagnostic accuracy for the lung involvement by COVID-19 of COVID-19 Reporting and Data System (CO-RADS) score. This retrospective study included consecutive symptomatic patients who underwent chest CT and reverse transcriptase-polymerase chain reaction (RT-PCR) from March 2020 to May 2020 for suspected COVID-19. Twelve readers with different levels of expertise independently scored each CT using the CO-RADS scheme for detecting pulmonary involvement by COVID-19. Receiver operating characteristic (ROC) curves were computed to investigate diagnostic yield. Fleiss' kappa statistics was used to evaluate interreader agreement. A total of 572 patients (mean age, 63 ± 20 [standard deviation]; 329 men; 142 patients with COVID-19 and 430 patients without COVID-19) were evaluated. There was a moderate agreement for CO-RADS rating among all readers (Fleiss' K = 0.43 [95% CI 0.42-0.44]) with a substantial agreement for CO-RADS 1 category (Fleiss' K = 0.61 [95% CI 0.60-0.62]) and moderate agreement for CO-RADS 5 category (Fleiss' K = 0.60 [95% CI 0.58-0.61]). ROC analysis showed the CO-RADS score ≥ 4 as the optimal threshold, with a cumulative area under the curve of 0.72 (95% CI 66-78%), sensitivity 61% (95% CI 52-69%), and specificity 81% (95% CI 77-84%). CO-RADS showed high diagnostic accuracy and moderate interrater agreement across readers with different levels of expertise. Specificity is higher than previously thought and that could lead to reconsider the role of CT in this clinical setting. • 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]).

Identifiants

pubmed: 32968883
doi: 10.1007/s00330-020-07273-y
pii: 10.1007/s00330-020-07273-y
pmc: PMC7510765
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1932-1940

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Auteurs

Davide Bellini (D)

Department of Radiological Sciences, Oncology and Pathology, "Sapienza" University of Rome, I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100, Latina, Italy. bellinidavide29@gmail.com.
Department of Diagnostic Imaging and Interventional Radiology, Santa Maria Goretti Hospital, 04100, Latina, Italy. bellinidavide29@gmail.com.

Nicola Panvini (N)

Department of Radiological Sciences, Oncology and Pathology, "Sapienza" University of Rome, I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100, Latina, Italy.

Marco Rengo (M)

Department of Radiological Sciences, Oncology and Pathology, "Sapienza" University of Rome, I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100, Latina, Italy.

Simone Vicini (S)

Department of Radiological Sciences, Oncology and Pathology, "Sapienza" University of Rome, I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100, Latina, Italy.

Miriam Lichtner (M)

Infectious Diseases Unit, "Sapienza" University of Rome, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Tiziana Tieghi (T)

Infectious Diseases Unit, "Sapienza" University of Rome, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Dea Ippoliti (D)

Department of Radiological Sciences, Oncology and Pathology, "Sapienza" University of Rome, I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100, Latina, Italy.

Federica Giulio (F)

Department of Radiological Sciences, Oncology and Pathology, "Sapienza" University of Rome, I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100, Latina, Italy.

Elena Orlando (E)

Department of Radiological Sciences, Oncology and Pathology, "Sapienza" University of Rome, I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100, Latina, Italy.

Mario Iozzino (M)

Department of Diagnostic Imaging and Interventional Radiology, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Maria Grazia Ciolfi (MG)

Department of Diagnostic Imaging and Interventional Radiology, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Sarah Montechiarello (S)

Department of Diagnostic Imaging and Interventional Radiology, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Ugo d'Ambrosio (U)

Department of Diagnostic Imaging and Interventional Radiology, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Emanuele d'Adamo (E)

Department of Diagnostic Imaging and Interventional Radiology, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Chiara Gambaretto (C)

Department of Diagnostic Imaging and Interventional Radiology, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Stefano Panno (S)

Department of Diagnostic Imaging and Interventional Radiology, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Vanessa Caldon (V)

Department of Diagnostic Imaging and Interventional Radiology, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Cesare Ambrogi (C)

Department of Diagnostic Imaging and Interventional Radiology, Santa Maria Goretti Hospital, 04100, Latina, Italy.

Iacopo Carbone (I)

Department of Radiological Sciences, Oncology and Pathology, "Sapienza" University of Rome, I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100, Latina, Italy.

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