Differences and prediction of imaging characteristics of COVID-19 and non-COVID-19 viral pneumonia: A multicenter study

1Citations
Citations of this article
28Readers
Mendeley users who have this article in their library.
Get full text

Abstract

To study the differences in imaging characteristics and prediction of COVID-19 and non-COVID-19 viral pneumonia through chest CT.Chest CT data of 128 cases of COVID-19 and 47 cases of non-COVID-19 viral pneumonia confirmed by several hospitals were retrospectively collected, the imaging performance was evaluated and recorded, different imaging features were statistically analyzed, and a prediction model and independent predicted imaging features were obtained by multivariable analysis.COVID-19 was more likely than non-COVID-19 pneumonia to have a high-grade ground glass opacities (P=.01), extensive lesion distribution (P

Cite

CITATION STYLE

APA

Zhang, B., Wang, X., Tian, X., Zhao, X., Liu, B., Wu, X., … Zhang, Q. (2020). Differences and prediction of imaging characteristics of COVID-19 and non-COVID-19 viral pneumonia: A multicenter study. Medicine (United States), 99(42), E22747. https://doi.org/10.1097/MD.0000000000022747

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free