Diagnostic performance of chest CT to differentiate COVID-19 pneumonia in non-high-epidemic area in Japan.
Adult
Betacoronavirus
/ isolation & purification
COVID-19
Coronavirus Infections
/ diagnostic imaging
Diagnosis, Differential
Female
Humans
Japan
/ epidemiology
Lymphadenopathy
/ diagnostic imaging
Male
Middle Aged
Pandemics
Pleural Effusion
/ diagnostic imaging
Pneumonia, Viral
/ diagnostic imaging
Retrospective Studies
Reverse Transcriptase Polymerase Chain Reaction
/ methods
SARS-CoV-2
Tomography, X-Ray Computed
/ methods
COVID-19
CT criteria
Chest CT
Diagnostic performance
Journal
Japanese journal of radiology
ISSN: 1867-108X
Titre abrégé: Jpn J Radiol
Pays: Japan
ID NLM: 101490689
Informations de publication
Date de publication:
May 2020
May 2020
Historique:
received:
13
03
2020
accepted:
18
03
2020
pubmed:
2
4
2020
medline:
1
5
2020
entrez:
2
4
2020
Statut:
ppublish
Résumé
To evaluate the diagnostic performance of chest CT to differentiate coronavirus disease 2019 (COVID-19) pneumonia in non-high-epidemic area in Japan. This retrospective study included 21 patients clinically suspected COVID-19 pneumonia and underwent chest CT more than 3 days after the symptom onset: six patients confirmed COVID-19 pneumonia by real-time reverse-transcription polymerase chain reaction (RT-PCR) and 15 patients proved uninfected. Using a Likert scale and its receiver operating characteristic curve analysis, two radiologists (R1/R2) evaluated the diagnostic performance of the five CT criteria: (1) ground glass opacity (GGO)-predominant lesions, (2) GGO- and peripheral-predominant lesions, (3) bilateral GGO-predominant lesions; (4) bilateral GGO- and peripheral-predominant lesions, and (5) bilateral GGO- and peripheral-predominant lesions without nodules, airway abnormalities, pleural effusion, and mediastinal lymphadenopathy. All patients confirmed COVID-19 pneumonia had bilateral GGO- and peripheral-predominant lesions without airway abnormalities, mediastinal lymphadenopathy, and pleural effusion. The five CT criteria showed moderate to excellent diagnostic performance with area under the curves (AUCs) ranging 0.77-0.88 for R1 and 0.78-0.92 for R2. The criterion (e) showed the highest AUC. Chest CT would play a supplemental role to differentiate COVID-19 pneumonia from other respiratory diseases presenting with similar symptoms in a clinical setting.
Identifiants
pubmed: 32232648
doi: 10.1007/s11604-020-00958-w
pii: 10.1007/s11604-020-00958-w
pmc: PMC7105967
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
400-406Références
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