Observer agreement and clinical significance of chest CT reporting in patients suspected of COVID-19.


Journal

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

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 27 04 2020
accepted: 31 07 2020
revised: 24 06 2020
pubmed: 31 8 2020
medline: 26 1 2021
entrez: 31 8 2020
Statut: ppublish

Résumé

To assess interobserver agreement and clinical significance of chest CT reporting in patients suspected of COVID-19. From 16 to 24 March 2020, 241 consecutive patients addressed to hospital for COVID-19 suspicion had both chest CT and SARS-CoV-2 RT-PCR. Eight observers (2 thoracic and 2 general senior radiologists, 2 junior radiologists, and 2 emergency physicians) retrospectively categorized each CT into one out of 4 categories (evocative, compatible for COVID-19 pneumonia, not evocative, and normal). Observer agreement for categorization between all readers and pairs of readers with similar experience was evaluated with the Kappa coefficient. The results of a consensus categorization were correlated to RT-PCR. Observer agreement across the 4 categories was good between all readers (κ value 0.61 95% CI 0.60-0.63) and moderate to good between pairs of readers (0.54-0.75). It was very good (κ 0.81 95% CI 0.79-0.83), fair (κ 0.32 95% CI 0.29-0.34), moderate (κ 0.56 95% CI 0.54-0.58), and moderate (0.58 95% CI 0.56-0.61) for the categories evocative, compatible, not evocative, and normal, respectively. RT-PCR was positive in 97%, 50%, 31%, and 11% of cases in the respective categories. Observer agreement was lower (p < 0.001) and RT-PCR positive cases less frequently categorized evocative in the presence of an underlying pulmonary disease (p < 0.001). Interobserver agreement for chest CT reporting using categorization of findings is good in patients suspected of COVID-19. Among patients considered for hospitalization in an epidemic context, CT categorized evocative is highly predictive of COVID-19, whereas the predictive value of CT decreases between the categories compatible and not evocative. • In patients suspected of COVID-19, interobserver agreement for chest CT reporting into categories is good, and very good to categorize CT "evocative." • Chest CT can participate in estimating the likelihood of COVID-19 in patients presenting to hospital during the outbreak, CT categorized "evocative" being highly predictive of the disease whereas almost a third of patients with CT "not evocative" had a positive RT-PCR in our study. • Observer agreement is lower and CTs of positive RT-PCR cases less frequently "evocative" in presence of an underlying pulmonary disease.

Identifiants

pubmed: 32862289
doi: 10.1007/s00330-020-07126-8
pii: 10.1007/s00330-020-07126-8
pmc: PMC7456359
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1081-1089

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Auteurs

Marie-Pierre Debray (MP)

Department of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France. marie-pierre.debray@aphp.fr.
Inserm UMR1152, Physiopathology and Epidemiology of Respiratory Diseases, Paris, France. marie-pierre.debray@aphp.fr.

Helena Tarabay (H)

Department of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.

Lisa Males (L)

Department of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.
Faculty of Medicine, Paris Diderot University, Bichat Campus, Paris, France.

Nisrine Chalhoub (N)

Department of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.

Elyas Mahdjoub (E)

Department of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.
Faculty of Medicine, Paris Diderot University, Bichat Campus, Paris, France.

Thomas Pavlovsky (T)

Department of Emergency, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, F-75018, Paris, France.

Benoît Visseaux (B)

Laboratoire de Virologie, Hôpital Bichat Claude Bernard, APHP, 46 rue Henri Huchard, F-75018, Paris, France.
Université de Paris, IAME, INSERM, Paris, France.

Donia Bouzid (D)

Department of Emergency, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, F-75018, Paris, France.
Université de Paris, IAME, INSERM, Paris, France.

Raphael Borie (R)

Inserm UMR1152, Physiopathology and Epidemiology of Respiratory Diseases, Paris, France.
Department of Pneumology A, Centre de Référence Constitutif des Maladies Pulmonaires Rares, Hôpital Bichat Claude-Bernard, Assistance Publique-Hôpitaux de Paris, 46 rue Henri Huchard, F-75018, Paris, France.

Catherine Wackenheim (C)

Department of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.

Bruno Crestani (B)

Inserm UMR1152, Physiopathology and Epidemiology of Respiratory Diseases, Paris, France.
Faculty of Medicine, Paris Diderot University, Bichat Campus, Paris, France.
Department of Pneumology A, Centre de Référence Constitutif des Maladies Pulmonaires Rares, Hôpital Bichat Claude-Bernard, Assistance Publique-Hôpitaux de Paris, 46 rue Henri Huchard, F-75018, Paris, France.

Christophe Rioux (C)

Department of Infectious Diseases, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, F-75018, Paris, France.

Loukbi Saker (L)

Department of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.

Christophe Choquet (C)

Department of Emergency, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, F-75018, Paris, France.

Jimmy Mullaert (J)

Université de Paris, IAME, INSERM, Paris, France.
Department of Epidemiology, Biostatistics and Clinical Research, AP-HP, Hôpital Bichat, F-75018, Paris, France.

Antoine Khalil (A)

Department of Radiology, Hôpital Bichat Claude-Bernard, APHP, 46 rue Henri Huchard, 75018, Paris, France.
Inserm UMR1152, Physiopathology and Epidemiology of Respiratory Diseases, Paris, France.
Faculty of Medicine, Paris Diderot University, Bichat Campus, Paris, France.

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