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Diagnostic performance of chest CT to differentiate COVID-19 pneumonia in non-high-epidemic area in Japan

Authors :
Ken-ichiro Kobayashi
Mitsuhiro Kirita
Nobuhiro Komiya
Azusa Nishimoto
Chikara Maeda
Shigeaki Umeoka
Takashi Hiroi
Akira Kawamura
Kenji Kubo
Akihiko Sakata
Hyunjin Kim
Yuki Himoto
Source :
Japanese Journal of Radiology
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

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.

Details

Language :
English
ISSN :
1867108X and 18671071
Database :
OpenAIRE
Journal :
Japanese Journal of Radiology
Accession number :
edsair.doi.dedup.....98e710939461548fd03d76f7b0e164d5
Full Text :
https://doi.org/10.1007/s11604-020-00958-w