Publications by authors named "Edoardo Pesce"

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).

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Article Synopsis
  • Absent contractility (AC) is a motility disorder of the esophagus, defined by the lack of contractions while still allowing normal sphincter relaxation, often linked with diseases like scleroderma.
  • Patients with AC frequently experience symptoms of gastroesophageal reflux and face serious complications such as erosive esophagitis and malnutrition, significantly affecting their quality of life.
  • A multidisciplinary approach is essential for managing AC, integrating medical, surgical, and endoscopic treatments, while also addressing the underlying rheumatologic issues unique to each patient.
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  • * A group of Italian experts in EoE conducted a Delphi process to create updated management guidelines, which include the latest evidence and improve upon previous guidelines from the Italian Society of Gastroenterology (SIGE).
  • * The new guidelines are split into two parts covering topics like the definition and diagnosis of EoE, as well as treatment and follow-up, and they have been endorsed by several Italian medical societies and incorporated feedback from patient associations.
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  • The study aimed to replicate the Oxford Classification for IgA nephropathy using a deep learning pipeline called MESCnn, which integrates automatic glomerular segmentation and classification for key glomerular components.
  • A dataset of 1056 whole slide images from kidney biopsies was annotated, and models were trained and tested to achieve accurate detection and classification of mesangial hypercellularity, endocapillary hypercellularity, segmental sclerosis, and active crescents.
  • Results showed that the segmentation models performed well, demonstrated by high accuracy metrics, with EfficientNetV2-L and MobileNetV2 providing the best results for different classification categories, indicating the potential for effective computer-aided diagnosis in nephropathology.
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Terminally 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.

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Background: 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.

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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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