COVID-19 pneumonia: prediction of patient outcome by CT-based quantitative lung parenchyma analysis combined with laboratory parameters

To evaluate the prognostic value of fully automatic lung quantification based on spectral computed tomography (CT) and laboratory parameters for combined outcome prediction in COVID-19 pneumonia.

Bibliographic Details

Main Authors:	Do, Thuy (Author) , Skornitzke, Stephan (Author) , Merle, Uta (Author) , Kittel, Maximilian (Author) , Hofbaur, Stefan (Author) , Melzig, Claudius (Author) , Kauczor, Hans-Ulrich (Author) , Wielpütz, Mark Oliver (Author) , Weinheimer, Oliver (Author)
Format:	Article (Journal)
Language:	English
Published:	July 29, 2022
In:	PLOS ONE Year: 2022, Volume: 17, Issue: 7, Pages: 1-5
ISSN:	1932-6203
DOI:	10.1371/journal.pone.0271787
Online Access:	Verlag, kostenfrei, Volltext: https://doi.org/10.1371/journal.pone.0271787 Verlag, kostenfrei, Volltext: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0271787
Author Notes:	Thuy D. Do, Stephan Skornitzke, Uta Merle, Maximilian Kittel, Stefan Hofbaur, Claudius Melzig, Hans-Ulrich Kauczor, Mark O. Wielpütz, Oliver Weinheimer