Semi-quantitative analysis for the dynamic chest CT imaging features from onset to recovery in severe and critical COVID-19

Objective: To investigate in the CT manifestations of severe and critical Coronavirus Disease 2019 (COVID-19) patients. Methods: Medical data was collected for 2 severe patients and 4 critical COVID-19 patients from onset to their recovery. Three or four CT scans for each patient were taken. The sem...

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Autores:
Tipo de recurso:
Article of investigation
Fecha de publicación:
2020
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14032
Acceso en línea:
https://doi.org/10.1016/j.jrid.2020.07.003
http://hdl.handle.net/20.500.12010/14032
Palabra clave:
COVID-19
Chest CT features
Pneumonia
Severe type
Critical type
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
Rights
License
Abierto (Texto Completo)
id UTADEO2_098c16bde79139bf32d4a821fb363d5a
oai_identifier_str oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14032
network_acronym_str UTADEO2
network_name_str Expeditio: repositorio UTadeo
repository_id_str
dc.title.spa.fl_str_mv Semi-quantitative analysis for the dynamic chest CT imaging features from onset to recovery in severe and critical COVID-19
title Semi-quantitative analysis for the dynamic chest CT imaging features from onset to recovery in severe and critical COVID-19
spellingShingle Semi-quantitative analysis for the dynamic chest CT imaging features from onset to recovery in severe and critical COVID-19
COVID-19
Chest CT features
Pneumonia
Severe type
Critical type
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
title_short Semi-quantitative analysis for the dynamic chest CT imaging features from onset to recovery in severe and critical COVID-19
title_full Semi-quantitative analysis for the dynamic chest CT imaging features from onset to recovery in severe and critical COVID-19
title_fullStr Semi-quantitative analysis for the dynamic chest CT imaging features from onset to recovery in severe and critical COVID-19
title_full_unstemmed Semi-quantitative analysis for the dynamic chest CT imaging features from onset to recovery in severe and critical COVID-19
title_sort Semi-quantitative analysis for the dynamic chest CT imaging features from onset to recovery in severe and critical COVID-19
dc.subject.spa.fl_str_mv COVID-19
Chest CT features
Pneumonia
Severe type
Critical type
topic COVID-19
Chest CT features
Pneumonia
Severe type
Critical type
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
dc.subject.lemb.spa.fl_str_mv Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
description Objective: To investigate in the CT manifestations of severe and critical Coronavirus Disease 2019 (COVID-19) patients. Methods: Medical data was collected for 2 severe patients and 4 critical COVID-19 patients from onset to their recovery. Three or four CT scans for each patient were taken. The semi-quantitative analysis method was introduced for lesion and its distribution area. Results: The ground-glass opacities (GGO) and mixed GGO with consolidation were found as the most frequent features. Consolidation followed, and the appearance of stripes which showed an increasing trend before the patient was discharged. Consolidation was associated with clinical severity and disease progression, and the rapid change of the lesion in a short period of time was also a notable feature within 2e3 weeks. After being discharged, the efficacy of treatment could be demonstrated by a follow up CT scan. The distribution of lesion also showed dynamic progress in the follow up CT scan. Conclusion: CT scans in the whole course provided the entire inflammation information to assess clinical severity, disease progression and the treatment efficacy for COVID-19.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-09-30T19:38:35Z
dc.date.available.none.fl_str_mv 2020-09-30T19:38:35Z
dc.date.created.none.fl_str_mv 2020
dc.type.local.spa.fl_str_mv Artículo
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
format http://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.issn.spa.fl_str_mv 2352-6211
dc.identifier.other.spa.fl_str_mv https://doi.org/10.1016/j.jrid.2020.07.003
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12010/14032
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1016/j.jrid.2020.07.003
identifier_str_mv 2352-6211
url https://doi.org/10.1016/j.jrid.2020.07.003
http://hdl.handle.net/20.500.12010/14032
dc.language.iso.spa.fl_str_mv eng
language eng
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv 9 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Radiology infectious diseases
dc.source.spa.fl_str_mv reponame:Expeditio Repositorio Institucional UJTL
instname:Universidad de Bogotá Jorge Tadeo Lozano
instname_str Universidad de Bogotá Jorge Tadeo Lozano
institution Universidad de Bogotá Jorge Tadeo Lozano
reponame_str Expeditio Repositorio Institucional UJTL
collection Expeditio Repositorio Institucional UJTL
bitstream.url.fl_str_mv https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14032/3/Semi-quantitative-analysis-for-the-dynamic-chest-CT-imag_2020_Radiology-of-I.pdf.jpg
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spelling 2020-09-30T19:38:35Z2020-09-30T19:38:35Z20202352-6211https://doi.org/10.1016/j.jrid.2020.07.003http://hdl.handle.net/20.500.12010/14032https://doi.org/10.1016/j.jrid.2020.07.003Objective: To investigate in the CT manifestations of severe and critical Coronavirus Disease 2019 (COVID-19) patients. Methods: Medical data was collected for 2 severe patients and 4 critical COVID-19 patients from onset to their recovery. Three or four CT scans for each patient were taken. The semi-quantitative analysis method was introduced for lesion and its distribution area. Results: The ground-glass opacities (GGO) and mixed GGO with consolidation were found as the most frequent features. Consolidation followed, and the appearance of stripes which showed an increasing trend before the patient was discharged. Consolidation was associated with clinical severity and disease progression, and the rapid change of the lesion in a short period of time was also a notable feature within 2e3 weeks. After being discharged, the efficacy of treatment could be demonstrated by a follow up CT scan. The distribution of lesion also showed dynamic progress in the follow up CT scan. Conclusion: CT scans in the whole course provided the entire inflammation information to assess clinical severity, disease progression and the treatment efficacy for COVID-19.9 páginasapplication/pdfengRadiology infectious diseasesreponame:Expeditio Repositorio Institucional UJTLinstname:Universidad de Bogotá Jorge Tadeo LozanoCOVID-19Chest CT featuresPneumoniaSevere typeCritical typeSíndrome respiratorio agudo graveCOVID-19SARS-CoV-2CoronavirusSemi-quantitative analysis for the dynamic chest CT imaging features from onset to recovery in severe and critical COVID-19Artículohttp://purl.org/coar/resource_type/c_2df8fbb1Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Liu, RuxiuLei, ChaoqiLiao, XiangShi, ShanLi, JunHu, DongpengYao, ShunyuWang, ZhiFang, JiliangTHUMBNAILSemi-quantitative-analysis-for-the-dynamic-chest-CT-imag_2020_Radiology-of-I.pdf.jpgSemi-quantitative-analysis-for-the-dynamic-chest-CT-imag_2020_Radiology-of-I.pdf.jpgIM Thumbnailimage/jpeg16317https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14032/3/Semi-quantitative-analysis-for-the-dynamic-chest-CT-imag_2020_Radiology-of-I.pdf.jpgd1199555fe853c9cced2573ef075008fMD53open accessLICENSElicense.txtlicense.txttext/plain; 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