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Generalized chest CT and lab curves throughout the course of COVID-19
A better understanding of temporal relationships between chest CT and labs may provide a reference for disease severity over the disease course. Generalized curves of lung opacity volume and density over time can be used as standardized references from well before symptoms develop to over a month af...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994835/ https://www.ncbi.nlm.nih.gov/pubmed/33767213 http://dx.doi.org/10.1038/s41598-021-85694-5 |
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author | Kassin, Michael T. Varble, Nicole Blain, Maxime Xu, Sheng Turkbey, Evrim B. Harmon, Stephanie Yang, Dong Xu, Ziyue Roth, Holger Xu, Daguang Flores, Mona Amalou, Amel Sun, Kaiyun Kadri, Sameer Patella, Francesca Cariati, Maurizio Scarabelli, Alice Stellato, Elvira Ierardi, Anna Maria Carrafiello, Gianpaolo An, Peng Turkbey, Baris Wood, Bradford J. |
author_facet | Kassin, Michael T. Varble, Nicole Blain, Maxime Xu, Sheng Turkbey, Evrim B. Harmon, Stephanie Yang, Dong Xu, Ziyue Roth, Holger Xu, Daguang Flores, Mona Amalou, Amel Sun, Kaiyun Kadri, Sameer Patella, Francesca Cariati, Maurizio Scarabelli, Alice Stellato, Elvira Ierardi, Anna Maria Carrafiello, Gianpaolo An, Peng Turkbey, Baris Wood, Bradford J. |
author_sort | Kassin, Michael T. |
collection | PubMed |
description | A better understanding of temporal relationships between chest CT and labs may provide a reference for disease severity over the disease course. Generalized curves of lung opacity volume and density over time can be used as standardized references from well before symptoms develop to over a month after recovery, when residual lung opacities remain. 739 patients with COVID-19 underwent CT and RT-PCR in an outbreak setting between January 21st and April 12th, 2020. 29 of 739 patients had serial exams (121 CTs and 279 laboratory measurements) over 50 ± 16 days, with an average of 4.2 sequential CTs each. Sequential volumes of total lung, overall opacity and opacity subtypes (ground glass opacity [GGO] and consolidation) were extracted using deep learning and manual segmentation. Generalized temporal curves of CT and laboratory measurements were correlated. Lung opacities appeared 3.4 ± 2.2 days prior to symptom onset. Opacity peaked 1 day after symptom onset. GGO onset was earlier and resolved later than consolidation. Lactate dehydrogenase, and C-reactive protein peaked earlier than procalcitonin and leukopenia. The temporal relationships of quantitative CT features and clinical labs have distinctive patterns and peaks in relation to symptom onset, which may inform early clinical course in patients with mild COVID-19 pneumonia, or may shed light upon chronic lung effects or mechanisms of medical countermeasures in clinical trials. |
format | Online Article Text |
id | pubmed-7994835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79948352021-03-29 Generalized chest CT and lab curves throughout the course of COVID-19 Kassin, Michael T. Varble, Nicole Blain, Maxime Xu, Sheng Turkbey, Evrim B. Harmon, Stephanie Yang, Dong Xu, Ziyue Roth, Holger Xu, Daguang Flores, Mona Amalou, Amel Sun, Kaiyun Kadri, Sameer Patella, Francesca Cariati, Maurizio Scarabelli, Alice Stellato, Elvira Ierardi, Anna Maria Carrafiello, Gianpaolo An, Peng Turkbey, Baris Wood, Bradford J. Sci Rep Article A better understanding of temporal relationships between chest CT and labs may provide a reference for disease severity over the disease course. Generalized curves of lung opacity volume and density over time can be used as standardized references from well before symptoms develop to over a month after recovery, when residual lung opacities remain. 739 patients with COVID-19 underwent CT and RT-PCR in an outbreak setting between January 21st and April 12th, 2020. 29 of 739 patients had serial exams (121 CTs and 279 laboratory measurements) over 50 ± 16 days, with an average of 4.2 sequential CTs each. Sequential volumes of total lung, overall opacity and opacity subtypes (ground glass opacity [GGO] and consolidation) were extracted using deep learning and manual segmentation. Generalized temporal curves of CT and laboratory measurements were correlated. Lung opacities appeared 3.4 ± 2.2 days prior to symptom onset. Opacity peaked 1 day after symptom onset. GGO onset was earlier and resolved later than consolidation. Lactate dehydrogenase, and C-reactive protein peaked earlier than procalcitonin and leukopenia. The temporal relationships of quantitative CT features and clinical labs have distinctive patterns and peaks in relation to symptom onset, which may inform early clinical course in patients with mild COVID-19 pneumonia, or may shed light upon chronic lung effects or mechanisms of medical countermeasures in clinical trials. Nature Publishing Group UK 2021-03-25 /pmc/articles/PMC7994835/ /pubmed/33767213 http://dx.doi.org/10.1038/s41598-021-85694-5 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kassin, Michael T. Varble, Nicole Blain, Maxime Xu, Sheng Turkbey, Evrim B. Harmon, Stephanie Yang, Dong Xu, Ziyue Roth, Holger Xu, Daguang Flores, Mona Amalou, Amel Sun, Kaiyun Kadri, Sameer Patella, Francesca Cariati, Maurizio Scarabelli, Alice Stellato, Elvira Ierardi, Anna Maria Carrafiello, Gianpaolo An, Peng Turkbey, Baris Wood, Bradford J. Generalized chest CT and lab curves throughout the course of COVID-19 |
title | Generalized chest CT and lab curves throughout the course of COVID-19 |
title_full | Generalized chest CT and lab curves throughout the course of COVID-19 |
title_fullStr | Generalized chest CT and lab curves throughout the course of COVID-19 |
title_full_unstemmed | Generalized chest CT and lab curves throughout the course of COVID-19 |
title_short | Generalized chest CT and lab curves throughout the course of COVID-19 |
title_sort | generalized chest ct and lab curves throughout the course of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994835/ https://www.ncbi.nlm.nih.gov/pubmed/33767213 http://dx.doi.org/10.1038/s41598-021-85694-5 |
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