Skip to main content
Erschienen in: European Radiology 9/2020

22.04.2020 | COVID-19 | Chest Zur Zeit gratis

Characteristic CT findings distinguishing 2019 novel coronavirus disease (COVID-19) from influenza pneumonia

verfasst von: Hao Wang, Ran Wei, Guihua Rao, Jie Zhu, Bin Song

Erschienen in: European Radiology | Ausgabe 9/2020

Einloggen, um Zugang zu erhalten

Abstract

Objectives

To investigate the different CT characteristics which may distinguish influenza from 2019 coronavirus disease (COVID-19).

Methods

A total of 13 confirmed patients with COVID-19 were enrolled from January 16, 2020, to February 25, 2020. Furthermore, 92 CT scans of confirmed patients with influenza pneumonia, including 76 with influenza A and 16 with influenza B, scanned between January 1, 2019, to February 25, 2020, were retrospectively reviewed. Pulmonary lesion distributions, number, attenuation, lobe predomination, margin, contour, ground-glass opacity involvement pattern, bronchial wall thickening, air bronchogram, tree-in-bud sign, interlobular septal thickening, intralobular septal thickening, and pleural effusion were evaluated in COVID-19 and influenza pneumonia cohorts.

Results

Peripheral and non-specific distributions in COVID-19 showed a markedly higher frequency compared with the influenza group (p < 0.05). Most lesions in COVID-19 showed balanced lobe localization, while in influenza pneumonia they were predominantly located in the inferior lobe (p < 0.05). COVID-19 presented a clear lesion margin and a shrinking contour compared with influenza pneumonia (p < 0.05). COVID-19 had a patchy or combination of GGO and consolidation opacities, while a cluster-like pattern and bronchial wall thickening were more frequently seen in influenza pneumonia (p < 0.05). The lesion number and attenuation, air bronchogram, tree-in-bud sign, interlobular septal thickening, and intralobular septal thickening were not significantly different between the two groups (all p > 0.05).

Conclusions

Though viral pneumonias generally show similar imaging features, there are some characteristic CT findings which may help differentiating COVID-19 from influenza pneumonia.

Key Points

• CT can play an early warning role in the diagnosis of COVID-19 in the case of no epidemic exposure.
• CT could be used for the differential diagnosis of influenza and COVID-19 with satisfactory accuracy.
• COVID-19 had a patchy or combination of GGO and consolidation opacities with peripheral distribution and balanced lobe predomination.
Literatur
1.
4.
Zurück zum Zitat Chan JF, Yuan S, Kok KH et al (2020) A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 395:514–523PubMedPubMedCentralCrossRef Chan JF, Yuan S, Kok KH et al (2020) A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 395:514–523PubMedPubMedCentralCrossRef
5.
Zurück zum Zitat Koo HJ, Lim S, Choe J, Choi SH, Sung H, Do KH (2018) Radiographic and CT features of viral pneumonia. Radiographics 38:719–739PubMedCrossRef Koo HJ, Lim S, Choe J, Choi SH, Sung H, Do KH (2018) Radiographic and CT features of viral pneumonia. Radiographics 38:719–739PubMedCrossRef
9.
Zurück zum Zitat Chen N, Zhou M, Dong X et al (2020) Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 395:507–513PubMedPubMedCentralCrossRef Chen N, Zhou M, Dong X et al (2020) Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 395:507–513PubMedPubMedCentralCrossRef
16.
Zurück zum Zitat Wilder-Smith A, Freedman DO (2020) Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. J Travel Med. https://doi.org/10.1093/jtm/taaa020 Wilder-Smith A, Freedman DO (2020) Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. J Travel Med. https://​doi.​org/​10.​1093/​jtm/​taaa020
19.
Zurück zum Zitat Reich NG, McGowan CJ, Yamana TK et al (2019) Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S. PLoS Comput Biol 15:e1007486PubMedPubMedCentralCrossRef Reich NG, McGowan CJ, Yamana TK et al (2019) Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S. PLoS Comput Biol 15:e1007486PubMedPubMedCentralCrossRef
20.
Zurück zum Zitat Miller WT Jr, Mickus TJ, Barbosa E Jr, Mullin C, Van Deerlin VM, Shiley KT (2011) CT of viral lower respiratory tract infections in adults: comparison among viral organisms and between viral and bacterial infections. AJR Am J Roentgenol 197:1088–1095PubMedCrossRef Miller WT Jr, Mickus TJ, Barbosa E Jr, Mullin C, Van Deerlin VM, Shiley KT (2011) CT of viral lower respiratory tract infections in adults: comparison among viral organisms and between viral and bacterial infections. AJR Am J Roentgenol 197:1088–1095PubMedCrossRef
21.
Zurück zum Zitat Yuan Y, Tao XF, Shi YX, Liu SY, Chen JQ (2012) Initial HRCT findings of novel influenza A (H1N1) infection. Influenza Other Respir Viruses 6:e114–e119PubMedPubMedCentralCrossRef Yuan Y, Tao XF, Shi YX, Liu SY, Chen JQ (2012) Initial HRCT findings of novel influenza A (H1N1) infection. Influenza Other Respir Viruses 6:e114–e119PubMedPubMedCentralCrossRef
22.
Zurück zum Zitat Fujita J, Ohtsuki Y, Higa H et al (2014) Clinicopathological findings of four cases of pure influenza virus A pneumonia. Intern Med 53:1333–1342PubMedCrossRef Fujita J, Ohtsuki Y, Higa H et al (2014) Clinicopathological findings of four cases of pure influenza virus A pneumonia. Intern Med 53:1333–1342PubMedCrossRef
23.
Zurück zum Zitat Ding Y, Wang H, Shen H et al (2003) The clinical pathology of severe acute respiratory syndrome (SARS): a report from China. J Pathol 200:282–289PubMedPubMedCentralCrossRef Ding Y, Wang H, Shen H et al (2003) The clinical pathology of severe acute respiratory syndrome (SARS): a report from China. J Pathol 200:282–289PubMedPubMedCentralCrossRef
25.
Zurück zum Zitat Wang Q, Zhang Z, Shi Y, Jiang Y (2013) Emerging H7N9 influenza A (novel reassortant avian-origin) pneumonia: radiologic findings. Radiology 268:882–889PubMedCrossRef Wang Q, Zhang Z, Shi Y, Jiang Y (2013) Emerging H7N9 influenza A (novel reassortant avian-origin) pneumonia: radiologic findings. Radiology 268:882–889PubMedCrossRef
Metadaten
Titel
Characteristic CT findings distinguishing 2019 novel coronavirus disease (COVID-19) from influenza pneumonia
verfasst von
Hao Wang
Ran Wei
Guihua Rao
Jie Zhu
Bin Song
Publikationsdatum
22.04.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 9/2020
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-020-06880-z

Weitere Artikel der Ausgabe 9/2020

European Radiology 9/2020 Zur Ausgabe

Screening-Mammografie offenbart erhöhtes Herz-Kreislauf-Risiko

26.04.2024 Mammografie Nachrichten

Routinemäßige Mammografien helfen, Brustkrebs frühzeitig zu erkennen. Anhand der Röntgenuntersuchung lassen sich aber auch kardiovaskuläre Risikopatientinnen identifizieren. Als zuverlässiger Anhaltspunkt gilt die Verkalkung der Brustarterien.

S3-Leitlinie zu Pankreaskrebs aktualisiert

23.04.2024 Pankreaskarzinom Nachrichten

Die Empfehlungen zur Therapie des Pankreaskarzinoms wurden um zwei Off-Label-Anwendungen erweitert. Und auch im Bereich der Früherkennung gibt es Aktualisierungen.

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

18.04.2024 Pädiatrische Notfallmedizin Nachrichten

Im Choosing-Wisely-Programm, das für die deutsche Initiative „Klug entscheiden“ Pate gestanden hat, sind erstmals Empfehlungen zum Umgang mit Notfällen von Kindern erschienen. Fünf Dinge gilt es demnach zu vermeiden.

„Nur wer sich gut aufgehoben fühlt, kann auch für Patientensicherheit sorgen“

13.04.2024 Klinik aktuell Kongressbericht

Die Teilnehmer eines Forums beim DGIM-Kongress waren sich einig: Fehler in der Medizin sind häufig in ungeeigneten Prozessen und mangelnder Kommunikation begründet. Gespräche mit Patienten und im Team können helfen.

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.