This page contains medical information for clinicians on the 2019 Novel Coronavirus (COVID-19, also called 2019-nCoV and now clinically SARS‐CoV‐2). This section includes articles on medical imaging of the virus for radiologists, new technologies being deployed to fight the virus and clinical information from various sources. Here are direct links for medical professionals to COVID-19 resources from the U.S. Food and Drug Administration (FDA), Centers for Disease Control (CDC) and the World Health Organization (WHO). Daily world-wide statistics on the coronavirus outbreak are available from the WHO Situations Reports. Centers for Medicare and Medicaid Services (CMS) frequently asked questions and answers (FAQs) for healthcare providers regarding Medicare payment for laboratory tests and other services related to the COVID-19
Images in a 41-year-old woman who presented with fever and positive polymerase chain reaction assay for the 2019 novel coronavirus (2019-nCoV). Three representative axial thin-section chest CT images show multifocal ground glass opacities without consolidation. Three-dimensional volume-rendered reconstruction shows the distribution of the ground-glass opacities (arrows). Image courtesy of the Radiological Society of North America (RSNA)
Examples of typical chest CT findings compatible with COVID-19 pneumonia in patients with epidemiological and clinical presentation suspicious for COVID-19 infection. This image is part of the original research, Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR, published Feb. 19, 2020, in Radiology Online.
An image from the Radiology article showing a baseline CT image of a 75 year old male with multiple patchy areas of pure ground glass opacity (GGO) and GGO with reticular and/or interlobular septal thickening. Follow-up CT images on day 3 after admission show an overlap of organizing pneumonia with diffuse alveolar damage in that it is more diffuse and associated with underlying reticulation. Read more and see 15 more images from novel coronavirus patients in the article.
CT lung imaging from a 41-year-old woman who tested positive for the 2019 novel coronavirus (2019-nCoV). This 3-D reconstruction shows multifocal ground glass opacities without consolidation. See also three-dimensional VIDEO of this rendering.
Infervision’s deep learning medical imaging platform is helping screen patients for the coronavirus in China. It acts as second pair of eyes to identify multiple diseases from one set of chest scans. The artificial intelligence (AI) can provide a complete view of the nodule, including volume and density.
Figure A: CT scan of a coronavirus from a patient in China showing ground glass lesions in the lungs. Images courtesy of the Radiological Society of North America. For larger images and more details on the scan, view the original article at https://pubs.rsna.org/doi/10.1148/radiol.2020200236