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Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities

Digital pathology (DP) is being deployed in many pathology laboratories, but most reported experiences refer to public health facilities. In this paper, we report our experience in DP transition at a high-volume private laboratory, addressing the main challenges in DP implementation in a private pra...

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Autores principales: Montezuma, Diana, Monteiro, Ana, Fraga, João, Ribeiro, Liliana, Gonçalves, Sofia, Tavares, André, Monteiro, João, Macedo-Pinto, Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871027/
https://www.ncbi.nlm.nih.gov/pubmed/35204617
http://dx.doi.org/10.3390/diagnostics12020529
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author Montezuma, Diana
Monteiro, Ana
Fraga, João
Ribeiro, Liliana
Gonçalves, Sofia
Tavares, André
Monteiro, João
Macedo-Pinto, Isabel
author_facet Montezuma, Diana
Monteiro, Ana
Fraga, João
Ribeiro, Liliana
Gonçalves, Sofia
Tavares, André
Monteiro, João
Macedo-Pinto, Isabel
author_sort Montezuma, Diana
collection PubMed
description Digital pathology (DP) is being deployed in many pathology laboratories, but most reported experiences refer to public health facilities. In this paper, we report our experience in DP transition at a high-volume private laboratory, addressing the main challenges in DP implementation in a private practice setting and how to overcome these issues. We started our implementation in 2020 and we are currently scanning 100% of our histology cases. Pre-existing sample tracking infrastructure facilitated this process. We are currently using two high-capacity scanners (Aperio GT450DX) to digitize all histology slides at 40×. Aperio eSlide Manager WebViewer viewing software is bidirectionally linked with the laboratory information system. Scanning error rate, during the test phase, was 2.1% (errors detected by the scanners) and 3.5% (manual quality control). Pre-scanning phase optimizations and vendor feedback and collaboration were crucial to improve WSI quality and are ongoing processes. Regarding pathologists’ validation, we followed the Royal College of Pathologists recommendations for DP implementation (adapted to our practice). Although private sector implementation of DP is not without its challenges, it will ultimately benefit from DP safety and quality-associated features. Furthermore, DP deployment lays the foundation for artificial intelligence tools integration, which will ultimately contribute to improving patient care.
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spelling pubmed-88710272022-02-25 Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities Montezuma, Diana Monteiro, Ana Fraga, João Ribeiro, Liliana Gonçalves, Sofia Tavares, André Monteiro, João Macedo-Pinto, Isabel Diagnostics (Basel) Article Digital pathology (DP) is being deployed in many pathology laboratories, but most reported experiences refer to public health facilities. In this paper, we report our experience in DP transition at a high-volume private laboratory, addressing the main challenges in DP implementation in a private practice setting and how to overcome these issues. We started our implementation in 2020 and we are currently scanning 100% of our histology cases. Pre-existing sample tracking infrastructure facilitated this process. We are currently using two high-capacity scanners (Aperio GT450DX) to digitize all histology slides at 40×. Aperio eSlide Manager WebViewer viewing software is bidirectionally linked with the laboratory information system. Scanning error rate, during the test phase, was 2.1% (errors detected by the scanners) and 3.5% (manual quality control). Pre-scanning phase optimizations and vendor feedback and collaboration were crucial to improve WSI quality and are ongoing processes. Regarding pathologists’ validation, we followed the Royal College of Pathologists recommendations for DP implementation (adapted to our practice). Although private sector implementation of DP is not without its challenges, it will ultimately benefit from DP safety and quality-associated features. Furthermore, DP deployment lays the foundation for artificial intelligence tools integration, which will ultimately contribute to improving patient care. MDPI 2022-02-18 /pmc/articles/PMC8871027/ /pubmed/35204617 http://dx.doi.org/10.3390/diagnostics12020529 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Montezuma, Diana
Monteiro, Ana
Fraga, João
Ribeiro, Liliana
Gonçalves, Sofia
Tavares, André
Monteiro, João
Macedo-Pinto, Isabel
Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities
title Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities
title_full Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities
title_fullStr Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities
title_full_unstemmed Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities
title_short Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities
title_sort digital pathology implementation in private practice: specific challenges and opportunities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871027/
https://www.ncbi.nlm.nih.gov/pubmed/35204617
http://dx.doi.org/10.3390/diagnostics12020529
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