To assess the different imaging patterns of lung involvement in patients with COVID-19 pneumonia and their possible association with favorable clinica course
Aim: To assess the different imaging patterns of lung involvement in patients with COVID-19 pneumonia and their possible association with favorable clinica course.
Materials and methods: This will be a retrospective study. Inclusion criteria: 1) Laboratory confirmed SARS-CoV-2 infection; 2) No previous known underlying lung disease; 3) CT examination performed 1 to 3 days from admission to the ED. Deidentified CT scans will be assessed by on-site radiologists in consesus at the Department of Radiology of Padova University. The following CT features will be assessed: distribution pattern (peripheral or central); number of lobes involved (one, two, or more); main radiological feature (ground-glass opacity [GGO], consolidation, or GGO with consolidation); concomitant lung abnormalities (crazy paving pattern, fibrous stripes); and extrapulmonary manifestations (mediastinal lymph node enlargement, pleural effusion). Logistic regression analysis will be employed to assess the association between the different imaging patterns of lung involvement and clinical course of disease. Kaplan-Meier analysis will be used to assess the association of different pattern of lung involvement and patient survival.
Expected results: The evidence of different pattern association with patient clinical course could present a prognostic and clinical management impact with consequent possible use of early medical treatment in patients with some specific patterns of lung involvement.