CT imaging features of patients with different clinical types of COVID-19

OBJECTIVE: To investigate the CT findings of patients with different clinical types of coronavirus disease 2019 (COVID-19).

METHODS: A total of 67 patients diagnosed as COVID-19 by nucleic acid testing were collected and divided into 4 groups according to the clinical stages based on Diagnosis and treatment of novel coronavirus pneumonia (trial version 6). The CT imaging characteristics were analyzed among patients with different clinical types.

RESULTS: Among 67 patients, 3(4.5%) were mild, 35 (52.2%) were moderate, 22 (32.8%) were severe, and 7(10.4%) were critical ill. No significant abnormality in chest CT imaging in mild patients. The 35 cases of moderate type included 3 (8.6%) single lesions, the 22 cases of severe cases included 1 (4.5%) single lesion and the rest cases were with multiple lesions. CT images of moderate patients were mainly manifested by solid plaque shadow and halo sign (18/35, 51.4%); while fibrous strip shadow with ground glass shadow was more frequent in severe cases (7/22, 31.8%). Consolidation shadow as the main lesion was observed in 7 cases, and all of them were severe or critical ill patients.

CONCLUSIONS: CT images of patients with different clinical types of COVID-19 have characteristic manifestations, and solid shadow may predict severe and critical illness.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:49

Enthalten in:

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences - 49(2020), 2 vom: 25. Mai, Seite 198-202

Sprache:

Chinesisch

Beteiligte Personen:

Zhong, Qi [VerfasserIn]
Li, Zhi [VerfasserIn]
Shen, Xiaoyong [VerfasserIn]
Xu, Kaijin [VerfasserIn]
Shen, Yihong [VerfasserIn]
Fang, Qiang [VerfasserIn]
Chen, Feng [VerfasserIn]
Liang, Tingbo [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Completed 12.05.2020

Date Revised 02.11.2023

published: Print

Citation Status MEDLINE

doi:

10.3785/j.issn.1008-9292.2020.03.05

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM309748488