Qualitative and quantitative chest CT parameters as predictors of specific mortality in COVID-19 patients.

ABSTRACT:

Purpose

To test the association between death and both qualitative and quantitative CT parameters obtained visually and by software in coronavirus disease (COVID-19) early outbreak.

Methods

The study analyzed retrospectively patients underwent chest CT at hospital admission for COVID-19 pneumonia suspicion, between February 21 and March 6, 2020. CT was performed in case of hypoxemia or moderate-to-severe dyspnea. CT scans were analyzed for quantitative and qualitative features obtained visually and by software. Cox proportional hazards regression analysis examined the association between variables and overall survival (OS). Three models were built for stratification of mortality risk: clinical, clinical/visual CT evaluation, and clinical/software-based CT assessment. AUC for

SUBMITTER: Colombi D 

PROVIDER: S-EPMC7594966 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature