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私立实验室中的数字病理学实施:CEDAP经验

Digital pathology implementation in a private laboratory: The CEDAP experience.

作者信息

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

机构信息

Germano de Sousa - Centro de Diagnóstico Histopatológico CEDAP, Coimbra, Portugal.

Hospital de Santa Luzia de Viana do Castelo, ULSAM, EPE, Viana do castelo, Portugal.

出版信息

J Pathol Inform. 2023 Jan 3;14:100180. doi: 10.1016/j.jpi.2022.100180. eCollection 2023.

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.

摘要

引言

全球多个实验室已开展向数字病理学的转变,葡萄牙也有一些相关案例描述。在本文中,我们描述了一家大型私立实验室向数字病理学的转变过程,同时考虑了主要挑战和机遇。

材料与方法

我们的流程始于2020年,对实验室工作流程进行了调整,目前使用一台高容量扫描仪(Aperio GT450DX)以20倍放大倍数对玻片进行数字化处理。可视化系统Aperio eSlide Manager WebViewer已集成到实验室系统中。验证过程遵循了皇家病理学家学院的指南。

结果

关于验证,第一阶段检测到错误率为6.8%,主要是由于数字化错误。通过阶段优化以及与技术服务部门的合作,这一过程得到了改进。在第二阶段验证中,大多数玻片具有用于评估的理想质量,错误率仅为0.6%,通过重新扫描得以纠正。病理学家之间的相关性显示,完全一致率为96.87%,部分一致率为3.13%。

结论

数字病理学的实施和验证取得了成功,已准备好投入实际应用。所有实验室系统的完全整合以及新设备的购置将使其得到最大化利用,尤其是在应用人工智能算法时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc6b/9853351/ebd909a1841a/gr1.jpg

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