• Luca Pugliese, Francesco Paolo Sbordone, Francesco Grimaldi, Francesca Ricci, Federica DI Tosto, Luigi Spiritigliozzi, Carlo DI Donna, Matteo Presicce, Vincenzo DE Stasio, Leonardo Benelli, Francesca D'Errico, Monia Pasqualetto, Jacopo Maria Legramante, Marco Materazzo, Marco Pellicciaro, Oreste Claudio Buonomo, Gianluca Vanni, Stefano Rizza, Alfonso Bellia, Roberto Floris, Francesco Garaci, and Marcello Chiocchi.
• Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.
• In Vivo. 2020 Nov 1; 34 (6): 3735-3746.

Background/AimThis study investigated the correlation of chest computed tomography (CT), findings, graded using two different scoring methods, with clinical and laboratory features and disease outcome, including a novel clinical predictive score, in patients with novel coronavirus-infected pneumonia (NCIP).Patients And MethodsIn this retrospective, observational study, CT scan of 92 NCIP patients admitted to Policlinico Tor Vergata, were analyzed using a quantitative, computed-based and a semiquantitative, radiologist-assessed scoring system. Correlations of the two radiological scores with clinical and laboratory features, the CALL score, and their association with a composite adverse outcome were assessed.ResultsThe two scores correlated significantly with each other (ρ=0.637, p<0.0001) and were independently associated with age, LDH, estimated glomerular filtration rate, diabetes, and with the composite outcome, which occurred in 24 patients.ConclusionIn NCIP patients, two different radiological scores correlated with each other and with several clinical, laboratory features, and the CALL score. The quantitative score was a better independent predictor of the composite adverse outcome than the semiquantitative score.Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

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