Prediction of potential severe coronavirus disease 2019 patients based on CT radiomics: A retrospective study.

ABSTRACT:

Purpose

Coronavirus disease 2019 (COVID-19) is a recently declared worldwide pandemic. Triaging of patients into severe and non-severe could further help in targeted management. "Potential severe patients" is a category of patients who did not have severe symptoms at their initial diagnosis, but eventually progressed to be severe patients and are easily overlooked in the early stage. This work aimed to develop and evaluate a CT-based radiomics signature for the prediction of these potential severe COVID-19 patients.

Methods

One hundred fifty COVID-19 patients were enrolled and randomly divided into cross-validation and independent test sets. First, their clinical characteristics were screened using the univariate and multivariate logistic regression step by step. Then, radio

SUBMITTER: Xiao F 

PROVIDER: S-EPMC9349830 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature