Semi-supervised COVID-19 volumetric pulmonary lesion estimation on CT images using probabilistic active contour and CNN segmentation.

Purpose: A semi-supervised two-step methodology is proposed to obtain a volumetric estimation of COVID-19-related lesions on Computed Tomography (CT) images.

Methods: First, damaged tissue was segmented from CT images using a probabilistic active contours approach. Second, lung parenchyma was extracted using a previously trained U-Net.

Radioembolization of Hepatocellular Carcinoma with Y Glass Microspheres: No Advantage of Voxel Dosimetry with Respect to Mean Dose in Dose-Response Analysis with Two Radiological Methods.

In this confirmatory study, we tested if a calculation that included the non-uniformity of dose deposition through a voxel-based dosimetric variable was able to improve the dose-response agreement with respect to the mean absorbed dose D. We performed dosimetry with Tc-MAA SPECT/CT and Y-PET/CT in 86 patients treated 8 instead of 4 days after the reference date with 2.8 times more Y glass microspheres/GBq than in our previous study.

Unexpected better outcome in a liver transplant recipient with COVID-19: a beneficial effect of tacrolimus?

Coronavirus disease 2019 (COVID-19) is a serious respiratory illness caused by SARS-CoV-2. There is controversy about whether their immunosuppressive status is a risk factor or a protective factor for developing severe disease. We report herein the clinical outcome of three family members that had COVID-19 infection, presenting with and without different risk factors that have been described in more severe disease.