Suppr超能文献

COVID-19 期间的胸部 CT 及实验室曲线的变化。

Generalized chest CT and lab curves throughout the course of COVID-19.

机构信息

Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.

Radiology and Imaging Sciences, NIH Clinical Center, National Institutes of Health, Bethesda, MD, 20892-1182, USA.

出版信息

Sci Rep. 2021 Mar 25;11(1):6940. doi: 10.1038/s41598-021-85694-5.

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.

摘要

更好地了解胸部 CT 和实验室检查之间的时间关系,可能为疾病过程中的疾病严重程度提供参考。从症状出现前很长一段时间到恢复后一个月以上(仍存在肺部残留混浊),都可以使用肺混浊体积和密度随时间变化的广义曲线作为标准化参考。2020 年 1 月 21 日至 4 月 12 日,在疫情爆发期间,739 名 COVID-19 患者接受了 CT 和 RT-PCR 检查。739 名患者中的 29 名患者进行了 50±16 天的连续检查(121 次 CT 和 279 次实验室测量),平均每人进行了 4.2 次连续 CT。使用深度学习和手动分割提取了总肺、整体混浊度和混浊亚型(磨玻璃混浊[GGO]和实变)的连续体积。对 CT 和实验室测量的广义时间曲线进行了相关性分析。肺混浊在症状出现前 3.4±2.2 天出现。混浊在症状出现后 1 天达到峰值。GGO 比实变出现更早,消退更晚。乳酸脱氢酶和 C 反应蛋白的峰值早于降钙素原和白细胞减少症。定量 CT 特征和临床实验室的时间关系与症状出现有独特的模式和峰值,这可能为轻度 COVID-19 肺炎患者的早期临床病程提供信息,或可能为临床试验中的慢性肺部影响或医学对策机制提供启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ca1/7994835/a0c7f34fdc2e/41598_2021_85694_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验