key: cord-024942-udhajlx2
authors: Tang, Lei; Zhang, Xiaoyong; Wang, Yvquan; Zeng, Xianchun
title: Severe COVID-19 Pneumonia: Assessing Inflammation Burden with Volume-rendered Chest CT
date: 2020-03-06
journal: Radiol Cardiothorac Imaging
DOI: 10.1148/ryct.2020200044
sha: 
doc_id: 24942
cord_uid: udhajlx2

nan

technique (PULMO 3D software, VB20; Siemens Healthineers, Forchheim, Germany) highlighted the distribution of pulmonary opacities, which was useful to determine the extension of the disease (Fig 2, Movie [supplement] ). Her nasopharyngeal swab was positive for COVID-19 with real-time fluorescence polymerase chain reaction test. The patient was diagnosed with severe COVID-19 pneumonia. When treated with oxygen inhalation, moxifloxacin, lopinavir/ritonavir, umifenovir, interferon, and thymosin, her body temperature returned to normal and the symptoms slightly improved. CT reexamination on the 5th day of hospitalization indicated increased lesions and mild absorption on the 9th day.

This copy is for personal use only. To order printed copies, contact reprints@rsna.org Severe COVID-19 Pneumonia: Assessing Inflammation Burden with Volume-rendered Chest CT 

Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia

A Novel Coronavirus from Patients with Pneumonia in China

CT Imaging of the 2019 Novel Coronavirus (2019-nCoV) Pneumonia

References 1. World Health Organization. Novel Coronavirus (2019-nCoV) situation reports

Disclosures of Conflicts of Interest: L.T. disclosed no relevant relationships. X. Zhang disclosed no relevant relationships. Y.W. disclosed no relevant relationships. X. Zeng disclosed no relevant relationships.