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Updated: Feb 27, 2026

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Asociación entre la puntuación ADA (Edad-D-dímero-Albúmina) y la puntuación de gravedad de la TC en la neumonía por
Enrico Maggio1, Giacomo Bonito2,3, Alessandra Oliva4
1Department of Medical and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy.
Abstract:
Background/Objectives: This study aims to assess the relation between the ADA score with the severity of pneumonia, as evaluated by chest tomography using a severity score. Methods: In this observational study we enrolled 350 consecutive adult patients (≥18 years) with COVID-19-related severe acute pneumonia requiring hospitalization, consecutively admitted to non-intensive care unit (ICU) medical wards from April 2020 to March 2022. A standard high-resolution chest computed tomography (HRCT) was performed in all cases with a multidetector CT scanner without intravenous contrast injection, except in case of suspicion of pulmonary embolism. The ADA score and semi-quantitative 25-point CT Severity Score (CTSS) were calculated for all patients. Results: A total of 350 COVID-19 patients (154 males (44%) and 196 females (56%)) were recruited. A logistic regression analysis showed that CTSS is statistically associated with the ADA score (Exp(B): 1.116; 95% CI: 1.027-1.212; p = 0.009) and the need for ICU (Exp(B): 8.719; 95% CI: 2.994-25.390; p < 0.001), while the linear regression analysis showed a relation between the CTSS and ADA score, GFR and CRP (p = 0.003) (predictors: ADA score [β coeff 0.276; 95% CI: 0.041--0.402; p = 0.017], GFR [β coeff -0.219; 95% CI: -0.095--0.001; p = 0.045], CRP [β coeff -0.226; IC 95% -0.077--0.001; p = 0.044]). Furthermore, a ROC curve analysis determined the optimal ADA score cut-off values for predicting severe CT findings at 44.5 (sensibility: 0.971; 1-specificity: 0.670; AUC: 0.750; SE 0.039; p < 0.001; 95% CI: 0.674-0.826; Youden's J index= 0.301). Conclusions: This study highlights the potential clinical utility of integrating laboratory- and imaging-based scores for a comprehensive assessment of patients hospitalized with SARS-CoV-2 infection. The combined use of these scores may enable a more accurate identification of patients with extensive pulmonary involvement and an increased prothrombotic burden at hospital admission, facilitating the early recognition of high-risk patients.
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