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用于对COVID-19临床和影像数据进行结构化评估的报告与分析框架。

A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data.

作者信息

Salg Gabriel Alexander, Ganten Maria-Katharina, Bucher Andreas Michael, Kenngott Hannes Goetz, Fink Matthias Alexander, Seibold Constantin, Fischbach Ricarda Elisabeth, Schlamp Kai, Velandia Carlos Alberto, Fervers Philipp, Doellinger Felix, Luger Anna, Afat Saif, Merle Uta, Diener Markus K, Pereira Philippe L, Penzkofer Tobias, Persigehl Thorsten, Othman Ahmed, Heußel Claus Peter, Baumhauer Matthias, Widmann Gerlig, Stathopoulos Konstantinos, Hamm Bernd, Vogl Thomas J, Nikolaou Konstantin, Kauczor Hans-Ulrich, Kleesiek Jens

机构信息

Mint Medical GmbH, Heidelberg, Germany.

Dept. of Diagnostic and Interventional Radiology, Frankfurt University Hospital, Frankfurt, Germany.

出版信息

NPJ Digit Med. 2021 Apr 12;4(1):69. doi: 10.1038/s41746-021-00439-y.

DOI:10.1038/s41746-021-00439-y
PMID:33846548
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8041811/
Abstract

The COVID-19 pandemic has worldwide individual and socioeconomic consequences. Chest computed tomography has been found to support diagnostics and disease monitoring. A standardized approach to generate, collect, analyze, and share clinical and imaging information in the highest quality possible is urgently needed. We developed systematic, computer-assisted and context-guided electronic data capture on the FDA-approved mint Lesion software platform to enable cloud-based data collection and real-time analysis. The acquisition and annotation include radiological findings and radiomics performed directly on primary imaging data together with information from the patient history and clinical data. As proof of concept, anonymized data of 283 patients with either suspected or confirmed SARS-CoV-2 infection from eight European medical centers were aggregated in data analysis dashboards. Aggregated data were compared to key findings of landmark research literature. This concept has been chosen for use in the national COVID-19 response of the radiological departments of all university hospitals in Germany.

摘要

新冠疫情已在全球范围内产生个人和社会经济影响。胸部计算机断层扫描已被证明有助于诊断和疾病监测。迫切需要一种标准化方法,以尽可能高质量地生成、收集、分析和共享临床及影像信息。我们在FDA批准的Mint Lesion软件平台上开发了系统的、计算机辅助且上下文引导的电子数据采集功能,以实现基于云的数据收集和实时分析。采集和注释包括直接在原始影像数据上进行的放射学发现和放射组学分析,以及来自患者病史和临床数据的信息。作为概念验证,来自八个欧洲医疗中心的283例疑似或确诊SARS-CoV-2感染患者的匿名数据被汇总到数据分析仪表板中。汇总数据与具有里程碑意义的研究文献的关键发现进行了比较。这一概念已被德国所有大学医院放射科用于国家新冠疫情应对工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6e/8041811/7c4bb8d6e0be/41746_2021_439_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6e/8041811/f594efabadd4/41746_2021_439_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6e/8041811/2241637526fd/41746_2021_439_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6e/8041811/be5e4a8875a6/41746_2021_439_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6e/8041811/7c4bb8d6e0be/41746_2021_439_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6e/8041811/f594efabadd4/41746_2021_439_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6e/8041811/2241637526fd/41746_2021_439_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6e/8041811/be5e4a8875a6/41746_2021_439_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6e/8041811/7c4bb8d6e0be/41746_2021_439_Fig4_HTML.jpg

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本文引用的文献

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[Microvascular changes in COVID-19].[新型冠状病毒肺炎中的微血管变化]
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Time, space and social interactions: exit mechanisms for the Covid-19 epidemics.时间、空间和社会互动:Covid-19 疫情的退出机制。
Healthcare (Basel). 2023 Aug 23;11(17):2377. doi: 10.3390/healthcare11172377.
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Pulmonary thromboembolic events in COVID-19-A systematic literature review.新型冠状病毒肺炎中的肺血栓栓塞事件——一项系统文献综述
Pulm Circ. 2022 Jul 1;12(3):e12113. doi: 10.1002/pul2.12113. eCollection 2022 Jul.
Sci Rep. 2020 Aug 13;10(1):13764. doi: 10.1038/s41598-020-70631-9.
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Face mask use in the general population and optimal resource allocation during the COVID-19 pandemic.在 COVID-19 大流行期间普通人群中使用口罩和最佳资源分配。
Nat Commun. 2020 Aug 13;11(1):4049. doi: 10.1038/s41467-020-17922-x.
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