van Diest Paul J, Huisman André, van Ekris Jaap, Meijer Jos, Willems Stefan, Hofhuis Hannelore, Verbeek Xander, van der Wel Myrtle, Vos Shoko, Leguit Roos, van den Brand Michiel, Hebeda Konnie, Grünberg Katrien
University Medical Center Utrecht, Utrecht, the Netherlands.
MedicalPHIT, Utrecht, the Netherlands.
JCO Clin Cancer Inform. 2019 Jun;3:1-7. doi: 10.1200/CCI.18.00146.
Among the many uses of digital pathology, remote consultation, remote revision, and virtual slide panels may be the most important ones. This requires basic slide scanner infrastructure in participating laboratories to produce whole-slide images. More importantly, a software platform is needed for exchange of these images and functionality to support the processes around discussing and reporting on these images without breaching patient privacy. This poses high demands on the setup of such a platform, given the inherent complexity of the handling of digital pathology images. In this article, we describe the setup and validation of the Pathology Image Exchange project, which aimed to create a vendor-independent platform for exchange of whole-slide images between Dutch pathology laboratories to facilitate efficient teleconsultation, telerevision, and virtual slide panels. Pathology Image Exchange was released in April 2018 after technical validation, and a first successful validation in real life has been performed for hematopathology cases.
在数字病理学的众多应用中,远程会诊、远程复审和虚拟载玻片小组可能是最重要的应用。这需要参与的实验室具备基本的载玻片扫描仪基础设施来生成全切片图像。更重要的是,需要一个软件平台来交换这些图像并具备相应功能,以支持围绕这些图像进行讨论和报告的流程,同时不侵犯患者隐私。鉴于数字病理图像处理的固有复杂性,这对这样一个平台的搭建提出了很高的要求。在本文中,我们描述了病理图像交换项目的搭建与验证,该项目旨在创建一个独立于供应商的平台,用于荷兰病理实验室之间全切片图像的交换,以促进高效的远程会诊、远程复查和虚拟载玻片小组工作。经过技术验证后,病理图像交换于2018年4月发布,并且已经对血液病理学病例进行了首次成功的实际验证。