Digital pathology implementation in a private laboratory: The CEDAP experience

Inês Ferreira , Carlos Sachica Montenegro , Daniel Coelho , Maria Pereira , Sara da Mata , Sofia Carvalho , Ana Catarina Araújo , Carlos Abrantes , José Mário Ruivo , Helena Garcia , Rui Caetano Oliveira
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引用次数: 2

Abstract

Introduction

The transition to digital pathology has been carried out by several laboratories across the globe, with some cases described in Portugal. In this article, we describe the transition to digital pathology in a high-volume private laboratory, considering the main challenges and opportunities.

Material and methods

Our process started in 2020, with laboratory workflow adaptation and we are currently using a high-capacity scanner (Aperio GT450DX) to digitize slides at 20×. The visualization system, Aperio eSlide Manager WebViewer, is integrated into the Laboratory System. The validation process followed the Royal College of Pathologists Guidelines.

Results

Regarding validation, the first phase detected an error rate of 6.8%, mostly due to digitization errors. Phase optimization and collaboration with technical services led to improvements in this process. In the second validation phase, most of the slides had the desired quality for evaluation, with only an error rate of 0.6%, corrected with a new scan. The interpathologist correlation had a total agreement rate of 96.87% and 3.13% partial agreement.

Conclusion

The implementation and validation of digital pathology was a success, being ready for prime time. The total integration of all laboratory systems and the acquisition of new equipment will maximize their use, especially with the application of artificial intelligence algorithms.

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数字病理学在私人实验室的实施:CEDAP的经验
向数字化病理学的过渡已经在全球的几个实验室进行,在葡萄牙描述了一些病例。在这篇文章中,我们描述了过渡到数字病理学在一个大容量的私人实验室,考虑到主要的挑战和机遇。材料和方法sour过程始于2020年,适应实验室工作流程,我们目前正在使用高容量扫描仪(Aperio GT450DX)以20倍的速度对幻灯片进行数字化。可视化系统Aperio eSlide Manager WebViewer集成到实验室系统中。验证过程遵循皇家病理学家学院指南。结果在验证方面,第一阶段的检出错误率为6.8%,主要是数字化错误。阶段优化和与技术服务的协作导致了这一过程的改进。在第二个验证阶段,大多数载玻片具有所需的评估质量,只有0.6%的错误率,通过新的扫描进行纠正。病理间相关性总符合率为96.87%,部分符合率为3.13%。结论数字化病理的实施和验证是成功的,已准备好进入黄金时期。所有实验室系统的全面集成和新设备的采购将最大限度地利用它们,特别是人工智能算法的应用。
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来源期刊
Journal of Pathology Informatics
Journal of Pathology Informatics Medicine-Pathology and Forensic Medicine
CiteScore
3.70
自引率
0.00%
发文量
2
审稿时长
18 weeks
期刊介绍: The Journal of Pathology Informatics (JPI) is an open access peer-reviewed journal dedicated to the advancement of pathology informatics. This is the official journal of the Association for Pathology Informatics (API). The journal aims to publish broadly about pathology informatics and freely disseminate all articles worldwide. This journal is of interest to pathologists, informaticians, academics, researchers, health IT specialists, information officers, IT staff, vendors, and anyone with an interest in informatics. We encourage submissions from anyone with an interest in the field of pathology informatics. We publish all types of papers related to pathology informatics including original research articles, technical notes, reviews, viewpoints, commentaries, editorials, symposia, meeting abstracts, book reviews, and correspondence to the editors. All submissions are subject to rigorous peer review by the well-regarded editorial board and by expert referees in appropriate specialties.
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