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Dataset Information

Pulmonary vascular enlargement and lesion extent on computed tomography are correlated with COVID-19 disease severity.


ABSTRACT:

Purpose

To assess the relationships among pulmonary vascular enlargement, computed tomography (CT) findings quantified with software, and coronavirus disease (COVID-19) severity.

Materials and methods

Ultra-high-resolution (UHR) CT images of 87 patients (50 males, 37 females; median age, 63 years) with COVID-19 confirmed using real-time polymerase chain reaction were analyzed. The maximum subsegmental vascular diameter was measured on CT. Total CT lung volume (CTLV total) and lesion extent (ratio of lesion volume to CTLV total) of ground-glass opacities, reticulation, and consolidation were measured using software. Maximum pulmonary vascular diameter and lesion extent were analyzed using Spearman's correlation analysis. Logistic regression analysis was performed on CT result

SUBMITTER: Aoki R 

PROVIDER: S-EPMC7838849 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature