The present document constitutes Part 2 of the EoETALY Consensus Statements guideline on the diagnosis and management of eosinophilic esophagitis (EoE) developed by experts in the field of EoE across Italy (i.e., EoETALY Consensus Group).
View Article and Find Full Text PDFTerminally ill cancer patients often experience demoralization and loss of dignity, which undermines their spiritual wellbeing, which could, however, be supported by the presence of other factors such as self-transcendence and religious coping strategies. To assess self-transcendence and religious coping strategies and how they influence spirituality, we studied 141 end-stage cancer patients (64.3% male; mean age 68.
View Article and Find Full Text PDFBackground: Advanced stages of different renal diseases feature glomerular sclerosis at a histological level which is observed by light microscopy on tissue samples obtained by performing a kidney biopsy. Computer-aided diagnosis (CAD) systems leverage the potential of artificial intelligence (AI) in healthcare to support physicians in the diagnostic process.
Methods: We propose a novel CAD system that processes histological images and discriminates between sclerotic and non-sclerotic glomeruli.
Background: The automatic segmentation of kidneys in medical images is not a trivial task when the subjects undergoing the medical examination are affected by Autosomal Dominant Polycystic Kidney Disease (ADPKD). Several works dealing with the segmentation of Computed Tomography images from pathological subjects were proposed, showing high invasiveness of the examination or requiring interaction by the user for performing the segmentation of the images. In this work, we propose a fully-automated approach for the segmentation of Magnetic Resonance images, both reducing the invasiveness of the acquisition device and not requiring any interaction by the users for the segmentation of the images.
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