A novel multisite model to facilitate hepatitis C virus elimination in people experiencing homelessness.

Background & Aims: Only a handful of countries are on target to achieve elimination of HCV by 2030. People experiencing homelessness (PEH) remain an important HCV reservoir. The END C study evaluated clinical, patient reported, and health economic outcomes of a decentralised integrated model.

[Census of experiences implemented during the Covid period in the Novara, vercelli, Vallemaggia and Locarno areas].

Unlabelled: . Experiences implemented during the Covid period in the Novara, Vercelli, Vallemaggia and Locarno areas.

Introduction: The Covid-19 pandemic promoted the organization of several initiatives for the elderly.

Radiomics and Prostate MRI: Current Role and Future Applications.

Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined to prostate cancer staging. Radiomics is the quantitative extraction and analysis of minable data from medical images; it is emerging as a promising tool to detect and categorize prostate lesions.

Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method.

Purpose: Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation.

Materials And Methods: One-hundred-three patients with median lobe enlargement on prostate MRI were retrospectively included. Ellipsoid formula, manual segmentation and automatic segmentation were used for prostate volume estimation using T2 weighted MRI images.