CO-RADS: Coronavirus Classification Review.
CO-RADS: Coronavirus Classification Review.
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DOI：
10.25259/jcis_192_2020
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发表时间：
2021
影响因子：
0.9
通讯作者：
Marchiori E
中科院分区：
文献类型：
--
作者：
Penha D;Pinto EG;Matos F;Hochhegger B;Monaghan C;Taborda-Barata L;Irion K;Marchiori E
于二零二一年一月中旬，全球有超过9，500万宗2019冠状病毒病（COVID-19）确诊病例及约200万人死亡。需要住院或重症监护的COVID-19病例显示胸部计算机断层扫描的变化，灵敏度提高。几个放射学会试图将COVID-19肺部受累的报告标准化。COVID-19报告和数据系统（CO-RADS）建立在第一波大流行高峰期间吸取的经验教训的基础上，在预测中度至重度疾病方面表现出良好的观察者间可靠性和良好的表现。我们通过确诊的COVID-19病例的成像来说明CO-RADS分类的应用，并讨论与其他COVID-19分类的差异。
In mid-January of 2021, there were over 95 million diagnosed coronavirus disease 2019 (COVID-19) cases and approximately 2 million deaths worldwide. COVID-19 cases requiring hospitalization or intensive care show changes in computed tomography of the chest with improved sensitivity. Several radiology societies have attempted to standardize the reporting of pulmonary involvement by COVID-19. The COVID-19 Reporting and Data System (CO-RADS) builds on lessons learned during the peak of the first wave of the pandemic and shows good inter-observer reliability and good performance in predicting moderate to severe disease. We illustrate the application of the CO-RADS classification with imaging from confirmed cases of COVID-19 and discuss differences to other COVID-19 classifications.