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
期刊:
影响因子:
4.6
通讯作者:
Wood BJ
Wood BJ
中科院分区:
综合性期刊3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

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更好地了解胸部CT和实验室之间的时间关系可以为疾病病程中的疾病严重程度提供参考。肺混浊体积和密度随时间的广义曲线可作为标准化参考,从症状出现前到恢复后一个多月,肺混浊仍残留。2020年1月21日至4月12日期间,739名COVID-19患者接受了CT和RT-PCR检测。739例患者中有29例在50±16天内进行了连续检查(121次ct和279次实验室测量),平均每人进行4.2次连续ct检查。采用深度学习和人工分割的方法提取全肺的顺序体积、整体不透明和不透明亚型(磨玻璃不透明[GGO]和实变)。CT广义时间曲线与实验室测量值相关。肺部混浊出现于症状出现前3.4±2.2天。混浊在症状出现后1天达到高峰。GGO发病早于实变,消退晚于实变。乳酸脱氢酶和c反应蛋白峰值早于降钙素原和白细胞减少。CT定量特征与临床实验室的时间关系与症状发作有不同的模式和峰值,这可能为COVID-19轻度肺炎患者的早期临床病程提供信息,也可能在临床试验中揭示慢性肺效应或医学对策机制。
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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