Generalized chest CT and lab curves throughout the course of COVID-19
Abstract 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...
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Nature Portfolio
2021
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oai:doaj.org-article:228e583d255244fba804c6a894b672632021-12-02T13:24:25ZGeneralized chest CT and lab curves throughout the course of COVID-1910.1038/s41598-021-85694-52045-2322https://doaj.org/article/228e583d255244fba804c6a894b672632021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85694-5https://doaj.org/toc/2045-2322Abstract 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.Michael T. KassinNicole VarbleMaxime BlainSheng XuEvrim B. TurkbeyStephanie HarmonDong YangZiyue XuHolger RothDaguang XuMona FloresAmel AmalouKaiyun SunSameer KadriFrancesca PatellaMaurizio CariatiAlice ScarabelliElvira StellatoAnna Maria IerardiGianpaolo CarrafielloPeng AnBaris TurkbeyBradford J. WoodNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021) |
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DOAJ |
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DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Michael T. Kassin Nicole Varble Maxime Blain Sheng Xu Evrim B. Turkbey Stephanie Harmon Dong Yang Ziyue Xu Holger Roth Daguang Xu Mona Flores Amel Amalou Kaiyun Sun Sameer Kadri Francesca Patella Maurizio Cariati Alice Scarabelli Elvira Stellato Anna Maria Ierardi Gianpaolo Carrafiello Peng An Baris Turkbey Bradford J. Wood Generalized chest CT and lab curves throughout the course of COVID-19 |
| description |
Abstract 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 |
article |
| author |
Michael T. Kassin Nicole Varble Maxime Blain Sheng Xu Evrim B. Turkbey Stephanie Harmon Dong Yang Ziyue Xu Holger Roth Daguang Xu Mona Flores Amel Amalou Kaiyun Sun Sameer Kadri Francesca Patella Maurizio Cariati Alice Scarabelli Elvira Stellato Anna Maria Ierardi Gianpaolo Carrafiello Peng An Baris Turkbey Bradford J. Wood |
| author_facet |
Michael T. Kassin Nicole Varble Maxime Blain Sheng Xu Evrim B. Turkbey Stephanie Harmon Dong Yang Ziyue Xu Holger Roth Daguang Xu Mona Flores Amel Amalou Kaiyun Sun Sameer Kadri Francesca Patella Maurizio Cariati Alice Scarabelli Elvira Stellato Anna Maria Ierardi Gianpaolo Carrafiello Peng An Baris Turkbey Bradford J. Wood |
| author_sort |
Michael T. Kassin |
| title |
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_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_sort |
generalized chest ct and lab curves throughout the course of covid-19 |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/228e583d255244fba804c6a894b67263 |
| work_keys_str_mv |
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| _version_ |
1718393081809600512 |