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Dataset Information

COVID-19 pneumonia and its lookalikes: How radiologists perform in differentiating atypical pneumonias.


ABSTRACT:

Purpose

To examine the performance of radiologists in differentiating COVID-19 from non-COVID-19 atypical pneumonia and to perform an analysis of CT patterns in a study cohort including viral, fungal and atypical bacterial pathogens.

Methods

Patients with positive RT-PCR tests for COVID-19 pneumonia (n = 90) and non-COVID-19 atypical pneumonia (n = 294) were retrospectively included. Five radiologists, blinded to the pathogen test results, assessed the CT scans and classified them as COVID-19 or non-COVID-19 pneumonia. For both groups specific CT features were recorded and a multivariate logistic regression model was used to calculate their ability to predict COVID-19 pneumonia.

Results

The radiologists differentiated between COVID-19 and non-COVID-19 pneumonia with a

SUBMITTER: Giannakis A 

PROVIDER: S-EPMC8524806 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature