Pulmonary Artery Filling Defects in COVID‐19 Patients Revealed Using CT Pulmonary Angiography: A Predictable Complication?

Abstract

Purpose. This study is aimed at assessing the prevalence of pulmonary artery filling defects (PAFDs) consistent with pulmonary artery embolism (PAE) in patients with SARS‐CoV‐2 infection and at investigating possible radiological or clinical predictors. Materials and Methods. Computed Tomography Pulmonary Angiographies (CTPAs) from 43 consecutive patients with a confirmed COVID‐19 infection were retrospectively reviewed, taking into consideration the revised Geneva score and the D‐dimer value for each patient. Filling defects within the pulmonary arteries were recorded along with pleural and parenchymal findings such as ground glass opacities, consolidation, crazy paving, linear consolidation, and pleural effusion. All these variables were compared between patients with and without PAFD. The predictive performance of statistically different parameters was investigated using the receiver operating characteristics (ROC). Results. Pulmonary embolism was diagnosed in 15/43 patients (35%), whereas CTPA and parenchymal changes related to pulmonary COVID‐19 disease were evident in 39/43 patients (91%). The revised Geneva score and the mean D‐dimer value obtained using two consecutive measurements were significantly higher in patients with PAFD. The ROC analysis demonstrated that a mean D‐dimer value is the parameter with the higher predictivity (AUC 0.831) that is a cut‐off value > 1800 μg/l which predicts the probability of PAFD with a sensitivity and specificity of 70% and 78%, respectively. Conclusions. This single centre retrospective report shows a high prevalence of pulmonary artery filling defects revealed using CTPA in COVID‐19 patients and demonstrates that the mean value of multiple D‐dimer measurements may represent a predicting factor of this complication.