Publications by authors named "L Terradez"

Digital Pathology (DP) has experienced a significant growth in recent years and has become an essential tool for diagnosing and prognosis of tumors. The availability of Whole Slide Images (WSIs) and the implementation of Deep Learning (DL) algorithms have paved the way for the appearance of Artificial Intelligence (AI) systems that support the diagnosis process. These systems require extensive and varied data for their training to be successful.

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Background And Objective: Prostate cancer is one of the most common diseases affecting men. The main diagnostic and prognostic reference tool is the Gleason scoring system. An expert pathologist assigns a Gleason grade to a sample of prostate tissue.

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Objective: Our aim was to characterise a cohort of patients with Cushing's disease (CD) who did not present pituitary adenoma in magnetic resonance imaging (MRI), needing a catheterisation of the inferior petrosal sinus (CIPS), and to study the pathological findings of the pituitary gland in these subjects after transsphenoidal surgery in order to establish the aetiology of CD. Furthermore, we evaluated possible differences in the features of the diagnosis between hyperplasia and adenoma.

Subjects And Methods: We included 16 subjects.

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Background: Very few studies have analyzed early histologic lesions of diabetic nephropathy (DN) in patients without signs of clinical involvement (microalbuminuria). In this study, we analyzed renal histologic lesions in necropsies of diabetic patients with or without previous signs of DN.

Methods: Histological material was analyzed from 21 autopsies of type 2 diabetes mellitus (T2DM) patients (9 with albuminuria and 12 without albuminuria) and 4 controls.

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Introduction And Objectives: Although pathology is one of the cornerstone subjects of the medical curriculum, for many students it can prove too theoretical and remote from clinical relevance. We present the results of a new distance learning project designed to make the teaching of pathology more practical and render the subject more attractive to the medical student.

Materials And Methods: We developed a teaching programme which included digital pathology images and video tutorials of clinical cases; the students were required to arrive at a final diagnosis.

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