Cargando…
CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis
RATIONALE AND OBJECTIVES: We aimed to assess the prevalence of significant computed tomographic(CT) manifestations and describe some notable features based on chest CT images, as well as the main clinical features of patients with coronavirus disease 2019(COVID-19). MATERIALS AND METHODS: A systemat...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association of University Radiologists. Published by Elsevier Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200137/ https://www.ncbi.nlm.nih.gov/pubmed/32505599 http://dx.doi.org/10.1016/j.acra.2020.04.033 |
_version_ | 1783529277059235840 |
---|---|
author | Wan, Shang Li, Mingqi Ye, Zheng Yang, Caiwei Cai, Qian Duan, Shaofeng Song, Bin |
author_facet | Wan, Shang Li, Mingqi Ye, Zheng Yang, Caiwei Cai, Qian Duan, Shaofeng Song, Bin |
author_sort | Wan, Shang |
collection | PubMed |
description | RATIONALE AND OBJECTIVES: We aimed to assess the prevalence of significant computed tomographic(CT) manifestations and describe some notable features based on chest CT images, as well as the main clinical features of patients with coronavirus disease 2019(COVID-19). MATERIALS AND METHODS: A systematic literature search of PubMed, EMBASE, the Cochrane Library, and Web of Science was performed to identify studies assessing CT features, clinical, and laboratory results of COVID-19 patients. A single-arm meta-analysis was conducted to obtain the pooled prevalence and 95% confidence interval (95% CI). RESULTS: A total of 14 articles (including 1115 patients) based on chest CT images were retrieved. In the lesion patterns on chest CTs, we found that pure ground-glass opacities (GGO) (69%, 95% CI 58–80%), consolidation (47%, 35–60%) and “air bronchogram sign” (46%, 25–66%) were more common than the atypical lesion of “crazy-paving pattern” (15%, 8–22%). With regard to disease extent and involvement, 70% (95% CI 46–95%) of cases showed a location preference for the right lower lobe, 65% (58–73%) of patients presented with ≥3 lobes involvement, and meanwhile, 42% (32–53%) of patients had involvement of all five lobes, while 67% (55–78%) of patients showed a predominant peripheral distribution. An understanding of some important CT features might be helpful for medical surveillance and management. In terms of clinical features, muscle soreness (21%, 95% CI 15–26%) and diarrhea (7%, 4–10%) were minor symptoms compared to fever (80%, 74–87%) and cough (53%, 33–72%). CONCLUSION: Chest CT manifestations in patients with COVID-19, as well as its main clinical characteristics, might be helpful in disease evolution and management. |
format | Online Article Text |
id | pubmed-7200137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Association of University Radiologists. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72001372020-05-06 CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis Wan, Shang Li, Mingqi Ye, Zheng Yang, Caiwei Cai, Qian Duan, Shaofeng Song, Bin Acad Radiol Article RATIONALE AND OBJECTIVES: We aimed to assess the prevalence of significant computed tomographic(CT) manifestations and describe some notable features based on chest CT images, as well as the main clinical features of patients with coronavirus disease 2019(COVID-19). MATERIALS AND METHODS: A systematic literature search of PubMed, EMBASE, the Cochrane Library, and Web of Science was performed to identify studies assessing CT features, clinical, and laboratory results of COVID-19 patients. A single-arm meta-analysis was conducted to obtain the pooled prevalence and 95% confidence interval (95% CI). RESULTS: A total of 14 articles (including 1115 patients) based on chest CT images were retrieved. In the lesion patterns on chest CTs, we found that pure ground-glass opacities (GGO) (69%, 95% CI 58–80%), consolidation (47%, 35–60%) and “air bronchogram sign” (46%, 25–66%) were more common than the atypical lesion of “crazy-paving pattern” (15%, 8–22%). With regard to disease extent and involvement, 70% (95% CI 46–95%) of cases showed a location preference for the right lower lobe, 65% (58–73%) of patients presented with ≥3 lobes involvement, and meanwhile, 42% (32–53%) of patients had involvement of all five lobes, while 67% (55–78%) of patients showed a predominant peripheral distribution. An understanding of some important CT features might be helpful for medical surveillance and management. In terms of clinical features, muscle soreness (21%, 95% CI 15–26%) and diarrhea (7%, 4–10%) were minor symptoms compared to fever (80%, 74–87%) and cough (53%, 33–72%). CONCLUSION: Chest CT manifestations in patients with COVID-19, as well as its main clinical characteristics, might be helpful in disease evolution and management. The Association of University Radiologists. Published by Elsevier Inc. 2020-07 2020-05-05 /pmc/articles/PMC7200137/ /pubmed/32505599 http://dx.doi.org/10.1016/j.acra.2020.04.033 Text en © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Wan, Shang Li, Mingqi Ye, Zheng Yang, Caiwei Cai, Qian Duan, Shaofeng Song, Bin CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis |
title | CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis |
title_full | CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis |
title_fullStr | CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis |
title_full_unstemmed | CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis |
title_short | CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis |
title_sort | ct manifestations and clinical characteristics of 1115 patients with coronavirus disease 2019 (covid-19): a systematic review and meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200137/ https://www.ncbi.nlm.nih.gov/pubmed/32505599 http://dx.doi.org/10.1016/j.acra.2020.04.033 |
work_keys_str_mv | AT wanshang ctmanifestationsandclinicalcharacteristicsof1115patientswithcoronavirusdisease2019covid19asystematicreviewandmetaanalysis AT limingqi ctmanifestationsandclinicalcharacteristicsof1115patientswithcoronavirusdisease2019covid19asystematicreviewandmetaanalysis AT yezheng ctmanifestationsandclinicalcharacteristicsof1115patientswithcoronavirusdisease2019covid19asystematicreviewandmetaanalysis AT yangcaiwei ctmanifestationsandclinicalcharacteristicsof1115patientswithcoronavirusdisease2019covid19asystematicreviewandmetaanalysis AT caiqian ctmanifestationsandclinicalcharacteristicsof1115patientswithcoronavirusdisease2019covid19asystematicreviewandmetaanalysis AT duanshaofeng ctmanifestationsandclinicalcharacteristicsof1115patientswithcoronavirusdisease2019covid19asystematicreviewandmetaanalysis AT songbin ctmanifestationsandclinicalcharacteristicsof1115patientswithcoronavirusdisease2019covid19asystematicreviewandmetaanalysis |