Cargando…
Chest CT Features of 182 Patients with Mild Coronavirus Disease 2019 (COVID-19) Pneumonia: A Longitudinal, Retrospective and Descriptive Study
INTRODUCTION: The evolution of computed tomography (CT) findings in patients with mild coronavirus disease 2019 (COVID-19) pneumonia has not been described in detail. A large-scale longitudinal study is urgently required. METHODS: We analyzed 606 CT scans of 182 patients. The dynamic evolution of CT...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566584/ https://www.ncbi.nlm.nih.gov/pubmed/33067768 http://dx.doi.org/10.1007/s40121-020-00352-z |
_version_ | 1783596158499684352 |
---|---|
author | Liu, Huaping Luo, Shiyong Zhang, Youming Jiang, Yuzhu Jiang, Yuting Wang, Yayi Li, Hailan Huang, Chiyao Zhang, Shunzhen Li, Xili Tan, Yiqing Wang, Wei |
author_facet | Liu, Huaping Luo, Shiyong Zhang, Youming Jiang, Yuzhu Jiang, Yuting Wang, Yayi Li, Hailan Huang, Chiyao Zhang, Shunzhen Li, Xili Tan, Yiqing Wang, Wei |
author_sort | Liu, Huaping |
collection | PubMed |
description | INTRODUCTION: The evolution of computed tomography (CT) findings in patients with mild coronavirus disease 2019 (COVID-19) pneumonia has not been described in detail. A large-scale longitudinal study is urgently required. METHODS: We analyzed 606 CT scans of 182 patients. The dynamic evolution of CT scores was evaluated using two staging methods: one was divided into 10 periods based on decile intervals, and the other was one stage per week. Moreover, the latter was used to evaluate the dynamic evolution of imaging performance. A published severity scoring system was used to compare findings of the two methods. RESULTS: In the dynamic evolution of 10 stages, the total lesion CT score peaked during stage 3 (9–11 days) and stage 6 (17–18 days), with scores = 7.19 ± 3.66 and 8.00 ± 4.57, respectively. The consolidation score peaked during stage 6 (17–18 days; score = 2.72 ± 3.07). In contrast, when a 1-week interval was used and time was divided into five stages, the total lesion score peaked during week 3 (score = 7.3 ± 4.15). The consolidation score peaked during week 2 (score = 2.54 ± 3.25). The predominant CT patterns differed significantly during each stage (P < 0.01). Ground-glass opacities (GGO), with an increased trend during week 3 and beyond, was the most common pattern in each stage (33–46%). The second most common patterns during week 1 were GGO and consolidation (24%). The linear opacity pattern with an increased trend was the second most common pattern during week 2 and beyond (21–32%). CONCLUSIONS: The total lesion score of mild COVID-19 pneumonia peaked 17–18 days after disease onset. The consolidation scores objectively reflected the severity of the lung involvement compared with total lesion scores. Each temporal stage of mild COVID-19 pneumonia mainly manifested as GGO pattern. Moreover, good prognosis may be associated with increases in the proportions of the GGO and linear opacity patterns during the later stage of disease. |
format | Online Article Text |
id | pubmed-7566584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-75665842020-10-19 Chest CT Features of 182 Patients with Mild Coronavirus Disease 2019 (COVID-19) Pneumonia: A Longitudinal, Retrospective and Descriptive Study Liu, Huaping Luo, Shiyong Zhang, Youming Jiang, Yuzhu Jiang, Yuting Wang, Yayi Li, Hailan Huang, Chiyao Zhang, Shunzhen Li, Xili Tan, Yiqing Wang, Wei Infect Dis Ther Original Research INTRODUCTION: The evolution of computed tomography (CT) findings in patients with mild coronavirus disease 2019 (COVID-19) pneumonia has not been described in detail. A large-scale longitudinal study is urgently required. METHODS: We analyzed 606 CT scans of 182 patients. The dynamic evolution of CT scores was evaluated using two staging methods: one was divided into 10 periods based on decile intervals, and the other was one stage per week. Moreover, the latter was used to evaluate the dynamic evolution of imaging performance. A published severity scoring system was used to compare findings of the two methods. RESULTS: In the dynamic evolution of 10 stages, the total lesion CT score peaked during stage 3 (9–11 days) and stage 6 (17–18 days), with scores = 7.19 ± 3.66 and 8.00 ± 4.57, respectively. The consolidation score peaked during stage 6 (17–18 days; score = 2.72 ± 3.07). In contrast, when a 1-week interval was used and time was divided into five stages, the total lesion score peaked during week 3 (score = 7.3 ± 4.15). The consolidation score peaked during week 2 (score = 2.54 ± 3.25). The predominant CT patterns differed significantly during each stage (P < 0.01). Ground-glass opacities (GGO), with an increased trend during week 3 and beyond, was the most common pattern in each stage (33–46%). The second most common patterns during week 1 were GGO and consolidation (24%). The linear opacity pattern with an increased trend was the second most common pattern during week 2 and beyond (21–32%). CONCLUSIONS: The total lesion score of mild COVID-19 pneumonia peaked 17–18 days after disease onset. The consolidation scores objectively reflected the severity of the lung involvement compared with total lesion scores. Each temporal stage of mild COVID-19 pneumonia mainly manifested as GGO pattern. Moreover, good prognosis may be associated with increases in the proportions of the GGO and linear opacity patterns during the later stage of disease. Springer Healthcare 2020-10-16 2020-12 /pmc/articles/PMC7566584/ /pubmed/33067768 http://dx.doi.org/10.1007/s40121-020-00352-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Research Liu, Huaping Luo, Shiyong Zhang, Youming Jiang, Yuzhu Jiang, Yuting Wang, Yayi Li, Hailan Huang, Chiyao Zhang, Shunzhen Li, Xili Tan, Yiqing Wang, Wei Chest CT Features of 182 Patients with Mild Coronavirus Disease 2019 (COVID-19) Pneumonia: A Longitudinal, Retrospective and Descriptive Study |
title | Chest CT Features of 182 Patients with Mild Coronavirus Disease 2019 (COVID-19) Pneumonia: A Longitudinal, Retrospective and Descriptive Study |
title_full | Chest CT Features of 182 Patients with Mild Coronavirus Disease 2019 (COVID-19) Pneumonia: A Longitudinal, Retrospective and Descriptive Study |
title_fullStr | Chest CT Features of 182 Patients with Mild Coronavirus Disease 2019 (COVID-19) Pneumonia: A Longitudinal, Retrospective and Descriptive Study |
title_full_unstemmed | Chest CT Features of 182 Patients with Mild Coronavirus Disease 2019 (COVID-19) Pneumonia: A Longitudinal, Retrospective and Descriptive Study |
title_short | Chest CT Features of 182 Patients with Mild Coronavirus Disease 2019 (COVID-19) Pneumonia: A Longitudinal, Retrospective and Descriptive Study |
title_sort | chest ct features of 182 patients with mild coronavirus disease 2019 (covid-19) pneumonia: a longitudinal, retrospective and descriptive study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566584/ https://www.ncbi.nlm.nih.gov/pubmed/33067768 http://dx.doi.org/10.1007/s40121-020-00352-z |
work_keys_str_mv | AT liuhuaping chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT luoshiyong chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT zhangyouming chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT jiangyuzhu chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT jiangyuting chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT wangyayi chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT lihailan chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT huangchiyao chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT zhangshunzhen chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT lixili chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT tanyiqing chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy AT wangwei chestctfeaturesof182patientswithmildcoronavirusdisease2019covid19pneumoniaalongitudinalretrospectiveanddescriptivestudy |