id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-024942-udhajlx2	Tang, Lei	Severe COVID-19 Pneumonia: Assessing Inflammation Burden with Volume-rendered Chest CT	2020-03-06		.txt	text/plain	223	30	48	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 cord_uid: udhajlx2 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] ). The patient was diagnosed with severe COVID-19 pneumonia. 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 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.	./cache/cord-024942-udhajlx2.txt	./txt/cord-024942-udhajlx2.txt