• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Eur Radiol. Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China

tetano

Editor, Senior Moderator
Eur Radiol. 2020 May 4. doi: 10.1007/s00330-020-06879-6. [Epub ahead of print]
Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China.


Zhou S[SUP]1[/SUP], Zhu T[SUP]1[/SUP], Wang Y[SUP]2[/SUP], Xia L[SUP]3[/SUP].

Author information




Abstract

OBJECTIVES:

To investigate CT images of 100 confirmed COVID-19 pneumonia patients to describe the lesion distribution, CT signs, and evolution during different courses.
METHODS:

A retrospective study of 100 COVID-19 pneumonia patients without ARDS was performed, and CT scans were reviewed. A COVID-19 pneumonia course diagram was drawn. Mann-Whitney U test was used to compare the lesion distribution and CT scores, χ[SUP]2[/SUP] test was used to compare the CT findings between different stages.
RESULTS:

A total of 272 CT scans from 100 patients (mean age, 52.3 years ? 13.1) were investigated. Four patients with lung abnormalities on CT first showed negative RT-PCR result and turned positive afterwards. One hundred sixty-nine (62.1%) showed predominantly peripheral distribution. The CT scores of the upper zone (3.4 ? 3.6) were significantly lower than those of the middle (5.0 ? 3.9) and lower (4.8 ? 3.6) zones (p < 0.001). The CT scores of the anterior zones (4.9 ? 4.7) were significantly lower than those of the posterior zones (8.4 ? 6.2) (p < 0.001). In the early rapid progressive stage (1~7 days), ground glass opacity (GGO) plus reticular pattern (58.1%), GGO plus consolidation (43.0%), and GGO (41.9%) were all common. In the advanced stage (8~14 days), GGO plus consolidation (79.8%) and repairing CT signs (subpleural line, bronchus distortion, and fibrotic strips) showed a significant increase (p < 0.05). In the absorption stage, GGO plus consolidation (9.1%) sharply decreased (p < 0.05).
CONCLUSION:

CT imaging of COVID-19 pneumonia showed a predominantly peripheral, middle and lower, and posterior distribution. The early rapid progressive stage is 1~7 days from symptom onset, the advanced stage with peak levels of abnormalities on CT is 8~14 days, and the abnormalities started to improve after 14 days.
KEY POINTS:

• The course of COVID-19 pneumonia consists of three stages: 1~7 days is the early rapid progressive stage, 8~14 days is the advanced stage, and after 14 days, the abnormalities started to decrease. • In the early rapid progressive stage, GGO plus a reticular pattern, GGO plus consolidation, and GGO were all common signs; in the advanced stage, signs of progression and absorption coexisted; lung abnormalities showed an asynchronous process with parts with absorption and parts progressing. • Lung abnormalities mainly showed predominantly peripheral, middle, and lower distribution.



KEYWORDS:

Computed tomography; Coronavirus; Pneumonia


PMID:32367418DOI:10.1007/s00330-020-06879-6
 
Back
Top