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

PURPOSE: To evaluate the diagnostic performance of chest CT to differentiate coronavirus disease 2019 (COVID-19) pneumonia in non-high-epidemic area in Japan. MATERIALS AND METHODS: This retrospective study included 21 patients clinically suspected COVID-19 pneumonia and underwent chest CT more than...

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Detalles Bibliográficos
Autores principales: Himoto, Yuki, Sakata, Akihiko, Kirita, Mitsuhiro, Hiroi, Takashi, Kobayashi, Ken-ichiro, Kubo, Kenji, Kim, Hyunjin, Nishimoto, Azusa, Maeda, Chikara, Kawamura, Akira, Komiya, Nobuhiro, Umeoka, Shigeaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105967/
https://www.ncbi.nlm.nih.gov/pubmed/32232648
http://dx.doi.org/10.1007/s11604-020-00958-w
Descripción
Sumario:PURPOSE: To evaluate the diagnostic performance of chest CT to differentiate coronavirus disease 2019 (COVID-19) pneumonia in non-high-epidemic area in Japan. MATERIALS AND METHODS: 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. RESULTS: 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. CONCLUSION: Chest CT would play a supplemental role to differentiate COVID-19 pneumonia from other respiratory diseases presenting with similar symptoms in a clinical setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11604-020-00958-w) contains supplementary material, which is available to authorized users.