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Digital Slide and Simulation-Based Learning in Pre-Implantation Kidney Biopsies

Authors :
Albino Eccher
Pietro Antonini
Antonella Barreca
Benedetta Fabbrizio
Ugo Boggi
Paola Chiara Rizzo
Ilaria Girolami
Source :
Current Transplantation Reports. 10:40-50
Publication Year :
2023
Publisher :
Springer Science and Business Media LLC, 2023.

Abstract

Although controversial, procurement kidney biopsies and histology are commonly used in kidney allocation from deceased donors. The long series of models developed for this question, incorporating a variety of clinical and histologic variables, failed to properly predict the long-term graft survival. This failure could be explained by many factors, including the lack of expertise in terms of skilled available nephropathologists in the urgent setting of biopsies assessment. Simulation-based learning is a form of experiential learning that provides learners with a real-world-like opportunity to develop and practice their knowledge and skills but in a simulated environment. Digital pathology with whole-slide imaging is a powerful tool for knowledge delivering, as it offers the opportunity to facilitate meeting of general pathologists with experts, with availability of second opinion consultation and tailored training on specific cases. In the back of these considerations, we report on the content of the web-meeting “Digital slide and simulation-based learning in pre-implantation kidney” which was fully dedicated to the evaluation of pre-implantation kidney biopsy, with a very practical approach and a direct interaction between two expert renal transplant pathologists and the audience of general pathologists.

Details

ISSN :
21963029
Volume :
10
Database :
OpenAIRE
Journal :
Current Transplantation Reports
Accession number :
edsair.doi...........e85544fa86e69592ffc60a51609b9abd