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计算病理学定义、最佳实践和监管指南建议:数字病理学协会白皮书。

Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association.

机构信息

Regulatory and Clinical Affairs, PathAI, Boston, MA, USA.

Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.

出版信息

J Pathol. 2019 Nov;249(3):286-294. doi: 10.1002/path.5331. Epub 2019 Sep 3.

Abstract

In this white paper, experts from the Digital Pathology Association (DPA) define terminology and concepts in the emerging field of computational pathology, with a focus on its application to histology images analyzed together with their associated patient data to extract information. This review offers a historical perspective and describes the potential clinical benefits from research and applications in this field, as well as significant obstacles to adoption. Best practices for implementing computational pathology workflows are presented. These include infrastructure considerations, acquisition of training data, quality assessments, as well as regulatory, ethical, and cyber-security concerns. Recommendations are provided for regulators, vendors, and computational pathology practitioners in order to facilitate progress in the field. © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

摘要

在这份白皮书中,数字病理学协会(DPA)的专家定义了计算病理学这一新兴领域的术语和概念,重点介绍了将其应用于与组织学图像一起分析并与相关患者数据相结合以提取信息的方法。本综述提供了历史视角,并描述了该领域的研究和应用带来的潜在临床益处,以及采用过程中存在的重大障碍。还提出了实施计算病理学工作流程的最佳实践,包括基础设施考虑因素、训练数据的获取、质量评估,以及监管、伦理和网络安全问题。为了促进该领域的发展,为监管机构、供应商和计算病理学从业者提供了建议。

© 2019 作者。The Journal of Pathology 由 John Wiley & Sons Ltd 代表英国和爱尔兰病理学学会出版。

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