Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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
_version_ 1783669839126069248
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
work_keys_str_mv AT kassinmichaelt generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT varblenicole generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT blainmaxime generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT xusheng generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT turkbeyevrimb generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT harmonstephanie generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT yangdong generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT xuziyue generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT rothholger generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT xudaguang generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT floresmona generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT amalouamel generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT sunkaiyun generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT kadrisameer generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT patellafrancesca generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT cariatimaurizio generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT scarabellialice generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT stellatoelvira generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT ierardiannamaria generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT carrafiellogianpaolo generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT anpeng generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT turkbeybaris generalizedchestctandlabcurvesthroughoutthecourseofcovid19
AT woodbradfordj generalizedchestctandlabcurvesthroughoutthecourseofcovid19