Fine Jeffrey L
Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
J Pathol Inform. 2014 Nov 28;5(1):44. doi: 10.4103/2153-3539.145733. eCollection 2014.
Digital pathology is rapidly developing, but early systems have been slow to gain traction outside of niche applications such as: Second-opinion telepathology, immunostain interpretation, and intraoperative telepathology. Pathologists have not yet developed a well-articulated plan for effectively utilizing digital imaging technology in their work. This paper outlines a proposal that is intended to begin meaningful progress toward achieving helpful computer-assisted pathology sign-out systems, such as pathologists' computer-assisted diagnosis (pCAD). pCAD is presented as a hypothetical intelligent computer system that would integrate advanced image analysis and better utilization of existing digital pathology data from lab information systems. A detailed example of automated digital pathology is presented, as an automated breast cancer lymph node sign-out. This proposal provides stakeholders with a conceptual framework that can be used to facilitate development work, communication, and identification of new automation strategies.
数字病理学正在迅速发展,但早期系统在诸如二次诊断远程病理学、免疫染色解读和术中远程病理学等特定应用之外,很难获得广泛应用。病理学家尚未制定出一个清晰明确的计划,以便在工作中有效利用数字成像技术。本文概述了一项提议,旨在朝着实现有用的计算机辅助病理报告系统(如病理学家计算机辅助诊断(pCAD))取得有意义的进展。pCAD被描述为一个假设的智能计算机系统,它将整合先进的图像分析,并更好地利用来自实验室信息系统的现有数字病理学数据。文中给出了一个自动化数字病理学的详细示例,即自动化乳腺癌淋巴结报告。该提议为利益相关者提供了一个概念框架,可用于促进开发工作、交流以及识别新的自动化策略。