Suppr超能文献

COVID-19 影像学:我们现在知道什么,还有什么未知。

COVID-19 Imaging: What We Know Now and What Remains Unknown.

机构信息

From the Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI (H.B.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.); Departments of Radiology and Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (L.B.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (D.F.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Medical Imaging, College of Medicine, University of Arizona, Tucson, Ariz (G.R.); and Department of Medicine and Surgery, Scienze Radiologiche, University of Parma, Parma, Italy (N.S.).

出版信息

Radiology. 2021 Jun;299(3):E262-E279. doi: 10.1148/radiol.2021204522. Epub 2021 Feb 9.

Abstract

Infection with SARS-CoV-2 ranges from an asymptomatic condition to a severe and sometimes fatal disease, with mortality most frequently being the result of acute lung injury. The role of imaging has evolved during the pandemic, with CT initially being an alternative and possibly superior testing method compared with reverse transcriptase-polymerase chain reaction (RT-PCR) testing and evolving to having a more limited role based on specific indications. Several classification and reporting schemes were developed for chest imaging early during the pandemic for patients suspected of having COVID-19 to aid in triage when the availability of RT-PCR testing was limited and its level of performance was unclear. Interobserver agreement for categories with findings typical of COVID-19 and those suggesting an alternative diagnosis is high across multiple studies. Furthermore, some studies looking at the extent of lung involvement on chest radiographs and CT images showed correlations with critical illness and a need for mechanical ventilation. In addition to pulmonary manifestations, cardiovascular complications such as thromboembolism and myocarditis have been ascribed to COVID-19, sometimes contributing to neurologic and abdominal manifestations. Finally, artificial intelligence has shown promise for use in determining both the diagnosis and prognosis of COVID-19 pneumonia with respect to both radiography and CT.

摘要

感染 SARS-CoV-2 的症状范围从无症状到严重,有时甚至致命,死亡率通常是急性肺损伤的结果。在大流行期间,影像学的作用不断发展,与逆转录-聚合酶链反应 (RT-PCR) 检测相比,CT 最初是一种替代方法,而且可能更优越,并且根据具体的适应证,其作用逐渐变得更有限。在大流行早期,针对疑似 COVID-19 患者的胸部成像开发了几种分类和报告方案,以在 RT-PCR 检测可用性有限且其性能水平不清楚时帮助分诊。多项研究表明,对于具有 COVID-19 典型表现的类别和提示其他诊断的类别,观察者之间的一致性很高。此外,一些研究表明,胸部 X 线摄影和 CT 图像上的肺部受累程度与重症和需要机械通气有关。除了肺部表现外,心血管并发症,如血栓栓塞和心肌炎,也归因于 COVID-19,有时会导致神经系统和腹部表现。最后,人工智能在确定 COVID-19 肺炎的放射学和 CT 诊断和预后方面显示出了一定的应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/7879709/1471850f440b/radiol.2021204522.fig1.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