Cargando…

Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia

OBJECTIVE: To retrospectively analyze the chest computed tomography (CT) features in patients with coronavirus disease 2019 (COVID-19) pneumonia. METHODS: From January 9, 2020, to February 26, 2020, totally 56 laboratory-confirmed patients with COVID-19 underwent chest CT. For 40 patients, follow-up...

Descripción completa

Detalles Bibliográficos
Autores principales: Fu, Fangfang, Lou, Jianghua, Xi, Deyan, Bai, Yan, Ma, Gongbao, Zhao, Bin, Liu, Dong, Bao, Guofeng, Lei, Zhidan, Wang, Meiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237879/
https://www.ncbi.nlm.nih.gov/pubmed/32435925
http://dx.doi.org/10.1007/s00330-020-06920-8
_version_ 1783536414788419584
author Fu, Fangfang
Lou, Jianghua
Xi, Deyan
Bai, Yan
Ma, Gongbao
Zhao, Bin
Liu, Dong
Bao, Guofeng
Lei, Zhidan
Wang, Meiyun
author_facet Fu, Fangfang
Lou, Jianghua
Xi, Deyan
Bai, Yan
Ma, Gongbao
Zhao, Bin
Liu, Dong
Bao, Guofeng
Lei, Zhidan
Wang, Meiyun
author_sort Fu, Fangfang
collection PubMed
description OBJECTIVE: To retrospectively analyze the chest computed tomography (CT) features in patients with coronavirus disease 2019 (COVID-19) pneumonia. METHODS: From January 9, 2020, to February 26, 2020, totally 56 laboratory-confirmed patients with COVID-19 underwent chest CT. For 40 patients, follow-up CT scans were obtained. The CT images were evaluated for the number, type and distribution of the opacity, and the affected lung lobes. Furthermore, the initial CT scan and the follow-up CT scans were compared. RESULTS: Forty patients (83.6%) had two or more opacities in the lung. Eighteen (32.7%) patients had only ground-glass opacities; twenty-nine patients (52.7%) had ground-glass and consolidative opacities; and eight patients (14.5%) had only consolidation. A total of 43 patients (78.2%) showed two or more lobes involved. The opacities tended to be both in peripheral and central (30/55, 54.5%) or purely peripheral distribution (25/55, 45.5%). Fifty patients (90.9%) had the lower lobe involved. The first follow-up CT scans showed that twelve patients (30%) had improvement, 26 (65%) patients had mild-moderate progression, and two patients (5%) had severe progression with “white lungs.” The second follow-up CT showed that 22 patients (71%) showed improvement compared with the first follow-up CT, four patients (12.9%) had aggravated progression, and five patients (16.1%) showed unchanged radiographic appearance. CONCLUSIONS: The common CT features of COVID-19 pneumonia are multiple lung opacities, multiple types of the opacity (ground-glass, ground-glass and consolidation, and consolidation alone), and multiple lobes especially the lower lobe involved. Follow-up CT could demonstrate the rapid progression of COVID-19 pneumonia (either in aggravation or absorption). KEY POINTS: • The predominant CT features of COVID-19 pneumonia are multiple ground-glass opacities with or without consolidation and, with both lungs, multiple lobes and especially the lower lobe affected. • CT plays a crucial role in early diagnosis and assessment of COVID-19 pneumonia progression. • CT findings of COVID-19 pneumonia may not be consistent with the clinical symptoms or the initial RT-PCR test results.
format Online
Article
Text
id pubmed-7237879
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-72378792020-05-20 Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia Fu, Fangfang Lou, Jianghua Xi, Deyan Bai, Yan Ma, Gongbao Zhao, Bin Liu, Dong Bao, Guofeng Lei, Zhidan Wang, Meiyun Eur Radiol Chest OBJECTIVE: To retrospectively analyze the chest computed tomography (CT) features in patients with coronavirus disease 2019 (COVID-19) pneumonia. METHODS: From January 9, 2020, to February 26, 2020, totally 56 laboratory-confirmed patients with COVID-19 underwent chest CT. For 40 patients, follow-up CT scans were obtained. The CT images were evaluated for the number, type and distribution of the opacity, and the affected lung lobes. Furthermore, the initial CT scan and the follow-up CT scans were compared. RESULTS: Forty patients (83.6%) had two or more opacities in the lung. Eighteen (32.7%) patients had only ground-glass opacities; twenty-nine patients (52.7%) had ground-glass and consolidative opacities; and eight patients (14.5%) had only consolidation. A total of 43 patients (78.2%) showed two or more lobes involved. The opacities tended to be both in peripheral and central (30/55, 54.5%) or purely peripheral distribution (25/55, 45.5%). Fifty patients (90.9%) had the lower lobe involved. The first follow-up CT scans showed that twelve patients (30%) had improvement, 26 (65%) patients had mild-moderate progression, and two patients (5%) had severe progression with “white lungs.” The second follow-up CT showed that 22 patients (71%) showed improvement compared with the first follow-up CT, four patients (12.9%) had aggravated progression, and five patients (16.1%) showed unchanged radiographic appearance. CONCLUSIONS: The common CT features of COVID-19 pneumonia are multiple lung opacities, multiple types of the opacity (ground-glass, ground-glass and consolidation, and consolidation alone), and multiple lobes especially the lower lobe involved. Follow-up CT could demonstrate the rapid progression of COVID-19 pneumonia (either in aggravation or absorption). KEY POINTS: • The predominant CT features of COVID-19 pneumonia are multiple ground-glass opacities with or without consolidation and, with both lungs, multiple lobes and especially the lower lobe affected. • CT plays a crucial role in early diagnosis and assessment of COVID-19 pneumonia progression. • CT findings of COVID-19 pneumonia may not be consistent with the clinical symptoms or the initial RT-PCR test results. Springer Berlin Heidelberg 2020-05-20 2020 /pmc/articles/PMC7237879/ /pubmed/32435925 http://dx.doi.org/10.1007/s00330-020-06920-8 Text en © European Society of Radiology 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Chest
Fu, Fangfang
Lou, Jianghua
Xi, Deyan
Bai, Yan
Ma, Gongbao
Zhao, Bin
Liu, Dong
Bao, Guofeng
Lei, Zhidan
Wang, Meiyun
Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia
title Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia
title_full Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia
title_fullStr Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia
title_full_unstemmed Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia
title_short Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia
title_sort chest computed tomography findings of coronavirus disease 2019 (covid-19) pneumonia
topic Chest
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237879/
https://www.ncbi.nlm.nih.gov/pubmed/32435925
http://dx.doi.org/10.1007/s00330-020-06920-8
work_keys_str_mv AT fufangfang chestcomputedtomographyfindingsofcoronavirusdisease2019covid19pneumonia
AT loujianghua chestcomputedtomographyfindingsofcoronavirusdisease2019covid19pneumonia
AT xideyan chestcomputedtomographyfindingsofcoronavirusdisease2019covid19pneumonia
AT baiyan chestcomputedtomographyfindingsofcoronavirusdisease2019covid19pneumonia
AT magongbao chestcomputedtomographyfindingsofcoronavirusdisease2019covid19pneumonia
AT zhaobin chestcomputedtomographyfindingsofcoronavirusdisease2019covid19pneumonia
AT liudong chestcomputedtomographyfindingsofcoronavirusdisease2019covid19pneumonia
AT baoguofeng chestcomputedtomographyfindingsofcoronavirusdisease2019covid19pneumonia
AT leizhidan chestcomputedtomographyfindingsofcoronavirusdisease2019covid19pneumonia
AT wangmeiyun chestcomputedtomographyfindingsofcoronavirusdisease2019covid19pneumonia