Generalized chest CT and lab curves throughout the course of COVID-19.
Generalized chest CT and lab curves throughout the course of COVID-19.
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DOI:
10.1038/s41598-021-85694-5
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发表时间:
2021-03-25
影响因子:
4.6
通讯作者:
Wood BJ
中科院分区:
文献类型:
--
作者:
Kassin MT;Varble N;Blain M;Xu S;Turkbey EB;Harmon S;Yang D;Xu Z;Roth H;Xu D;Flores M;Amalou A;Sun K;Kadri S;Patella F;Cariati M;Scarabelli A;Stellato E;Ierardi AM;Carrafiello G;An P;Turkbey B;Wood BJ
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.
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DOI:
10.1148/ryct.2020200075
发表时间:
2020-04-01
期刊:
RADIOLOGY-CARDIOTHORACIC IMAGING
影响因子:
--
作者:
Huang, Lu;Han, Rui;Xia, Liming
通讯作者:
Xia, Liming
影响因子:
5
作者:
Kauczor, HU;Heitmann, K;Thelen, M
通讯作者:
Thelen, M
影响因子:
12.4
作者:
Liu, Fengjun;Zhang, Qi;Shi, Yuxin
通讯作者:
Shi, Yuxin
影响因子:
5.9
作者:
Lanza, Ezio;Muglia, Riccardo;Balzarini, Luca
通讯作者:
Balzarini, Luca
影响因子:
82.9
作者:
He, Xi;Lau, Eric H. Y.;Leung, Gabriel M.
通讯作者:
Leung, Gabriel M.