Background COVID-19 pneumonia extension is assessed by computed tomography (CT) with the ratio between the volume of abnormal pulmonary opacities (PO) and CT-estimated lung volume (CT LV ). CT-estimated lung weight (CT LW ) also correlates with pneumonia severity. However, both CT LV and CT LW depend on demographic and anthropometric variables. Purposes To estimate the extent and severity of COVID-19 pneumonia adjusting the volume and weight of abnormal PO to the predicted CT LV (pCT LV ) and CT LW (pCT LW ), respectively, and to evaluate their possible association with clinical and radiological outcomes. Methods Chest CT from 103 COVID-19 and 86 healthy subjects were examined retrospectively. In controls, predictive equations for estimating pCT LV and pCT LW were assessed. COVID-19 pneumonia extent and severity were then defined as the ratio between the volume and the weight of abnormal PO expressed as a percentage of the pCT LV and pCT LW , respectively. A ROC analysis was used to test differential diagnosis ability of the proposed method in COVID-19 and controls. The degree of pneumonia extent and severity was assessed with Z-scores relative to the average volume and weight of PO in controls. Accordingly, COVID-19 patients were classified as with limited, moderate and diffuse pneumonia extent and as with mild, moderate and severe pneumonia severity. Results In controls, CT LV could be predicted by sex and height (adjusted R 2 = 0.57; P < 0.001) while CT LW by age, sex, and height (adjusted R 2 = 0.6; P < 0.001). The cutoff of 20% (AUC = 0.91, 95%CI 0.88–0.93) for pneumonia extent and of 50% (AUC = 0.91, 95%CI 0.89–0.92) for pneumonia severity were obtained. Pneumonia extent were better correlated when expressed as a percentage of the pCT LV and pCT LW ( r = 0.85, P < 0.001), respectively. COVID-19 patients with diffuse and severe pneumonia at admission presented significantly higher CRP concentration, intra-hospital mortality, ICU stay and ventilatory support necessity, than those with moderate and limited/mild pneumonia. Moreover, pneumonia severity, but not extent, was positively and moderately correlated with age ( r = 0.46) and CRP concentration ( r = 0.44). Conclusion The proposed estimation of COVID-19 pneumonia extent and severity might be useful for clinical and radiological patient stratification.
【저자키워드】 COVID-19, deep learning, Computed tomography, CT-estimated lung volume, CT-estimated lung weight, 【초록키워드】 Stratification, Mortality, Pneumonia, severity, lung, Sex, CRP, ICU, outcomes, severity of COVID-19, Patient, Mild, age, severe pneumonia, Admission, moderate, differential diagnosis, association, ROC analysis, Concentration, COVID-19 patient, AUC, Predictive, ventilatory support, Volume, 95%CI, average, Cutoff, extension, Z-score, controls, radiological, Result, defined, predicted, was used, evaluate, examined, adjusted, expressed, correlated, significantly higher, healthy subject, R 2, variables, were assessed,