THE ROLE OF CHEST CT IN DECIPHERING INTERSTITIAL LUNG INVOLVEMENT: SYSTEMIC SCLEROSIS VERSUS COVID-19

Martina Orlandi, Nicholas Landini, Gianluca Sambataro, Cosimo Nardi, Lorenzo Tofani, Cosimo Bruni, Silvia Bellando- Randone, Jelena Blagojevic, Daniela Melchiorre, Michael Hughes, Christopher P Denton, Fabrizio Luppi (+33 others)
2021 Rheumatology  
Objective To identify the main computed tomography (CT) features that may help distinguishing a progression of interstitial lung disease (ILD) secondary to Systemic sclerosis (SSc) from COVID-19 pneumonia. Methods This multicentric study included 22 international readers divided in the radiologist group (RAD) and non-radiologist group (nRAD). A total of 99 patients, 52 with COVID-19 and 47 with SSc-ILD, were included in the study. Results Fibrosis inside focal ground glass opacities (GGO) in
more » ... upper lobes; fibrosis in the lower lobe GGO; reticulations in lower lobes (especially if bilateral and symmetrical or associated with signs of fibrosis) were the CT features most frequently associated with SSc-ILD. The CT features most frequently associated with COVID- 19 pneumonia were: consolidation (CONS) in the lower lobes, CONS with peripheral (both central/peripheral or patchy distributions), anterior and posterior CONS and rounded-shaped GGOs in the lower lobes. After multivariate analysis, the presence of CONS in the lower lobes (p < 0.0001) and signs of fibrosis in GGO in the lower lobes (p < 0.0001) remained independently associated with COVID-19 pneumonia or SSc-ILD, respectively. A predictive score was created which resulted positively associated with the COVID-19 diagnosis (96.1% sensitivity and 83.3% specificity). Conclusion The CT differential diagnosis between COVID-19 pneumonia and SSc-ILD is possible through the combination the proposed score and the radiologic expertise. The presence of consolidation in the lower lobes may suggest a COVID-19 pneumonia while the presence of fibrosis inside GGO may indicate a SSc-ILD.
doi:10.1093/rheumatology/keab615 pmid:34320649 fatcat:cijmyyqxvvcc7h3ublm6qgfu3m