Marta Zerunian

TL;DR: The typical pattern of COVID-19 pneumonia in Rome, Italy, was peripherally ground-glass opacities with multilobe and posterior involvement, bilateral distribution, and subsegmental vessel enlargement, and Chest CT sensitivity was high but with lower specificity.

TL;DR: In this paper, the authors explored the impact on COVID-19 severity of abdominal fat as a marker of body composition easily collected in patients undergoing a chest CT scan and found that abdominal fat was a marker for worse clinical outcomes in patients with COVID19.

TL;DR: In this article, the performance of the baseline LSS and QCCT findings for predicting fibrosis-like changes (reticular pattern and/or honeycombing) at the 6-month followup chest CT examination was tested by using receiver operating characteristic curves.

TL;DR: AI models based on textural features of MR images of patients with LARC may help to identify patients who will show CR at the end of treatment and those who will not respond to therapy at an early stage of the treatment.

TL;DR: Quantification of GGOs and fibrotic alterations on Chest CT could be able to identify patients with COVID-19, according to radiologists in consensus revised software analysis.