Initial CT features of COVID-19 predicting clinical category.

ABSTRACT:

Purpose

To analyze the initial CT features of different clinical categories of COVID-19.

Material and methods

A total of 86 patients with COVID-19 were analyzed, including the clinical, laboratory and imaging features. The following imaging features were analyzed, the lesion amount, location, density, lung nodule, halo sign, reversed-halo sign, distribution pattern, inner structures and changes of adjacent structures. Chi-square test, Fisher's exact test, or Mann-Whitney U test was used for the enumeration data. Binary logistic regression analysis was performed to draw a regression equation to estimate the likelihood of severe and critical category. The forward conditional method was employed for variable selection.

Results

Significant statistical differences w

SUBMITTER: Fan L 

PROVIDER: S-EPMC7896877 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature