Skip to main content
Fig. 4 | Respiratory Research

Fig. 4

From: Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography – a multicenter retrospective cohort study in Japan

Fig. 4

Relationship between volume of residual lung lesions 3 months after admission and disease severity in hospitalized patients with COVID-19. (A) Distribution of percentage volume of residual lung lesions and definition of high % residual lesion group (top tertile of values). (B) Comparison of the incidence of critical outcomes between the high and low % residual lesion groups. (C) Paired comparison of % lung lesions on CT images at admission and % residual lesions among patients with each severity: critical (red lines, N = 25), severe (green lines, N = 87), and mild or asymptomatic (blue lines, N = 86). (D) Alluvial diagram comparing oxygen demand at admission and at worst during the disease course between the high and low % residual lesion groups. (E) Forest plot showing multivariable logistic regression analysis to evaluate the relationship between each variable and the high % residual lesion group

aOR, adjusted odds ratio; CI, confidence interval. ***; P < 0.001

Back to article page