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姚建国. 数字病理临床应用现状及前景展望[J]. 四川大学学报(医学版), 2021, 52(2): 156-161. DOI: 10.12182/20210360101
引用本文: 姚建国. 数字病理临床应用现状及前景展望[J]. 四川大学学报(医学版), 2021, 52(2): 156-161. DOI: 10.12182/20210360101
YAO Jian-guo. Digital Pathology: Current Status and Prospects of Clinical Application[J]. Journal of Sichuan University (Medical Sciences), 2021, 52(2): 156-161. DOI: 10.12182/20210360101
Citation: YAO Jian-guo. Digital Pathology: Current Status and Prospects of Clinical Application[J]. Journal of Sichuan University (Medical Sciences), 2021, 52(2): 156-161. DOI: 10.12182/20210360101

数字病理临床应用现状及前景展望

Digital Pathology: Current Status and Prospects of Clinical Application

  • 摘要: 近年来,随着图像处理和网络传输技术的进步,数字病理学在临床的应用越来越广泛,基于数字图像的人工智能辅助诊断技术不断涌现。作为应用最为广泛成熟的领域,远程病理学正通过远距离数字图像的电子传输改变着病理诊断的时空范围;全数字化病理科正在实现诊断模式和工作流程由显微镜诊断向数字图像电脑阅片的转换,而且已经有了大型全数字化病理科的成功案例。但在数字病理的实施过程中还有诸多问题(如扫描仪的质量稳定性和成本、系统的验证、工作流程的再造以及病理从业人员的培训和观念转变等)需要不断完善改进。人工智能诊断技术虽然潜力巨大,但在病理工作中的应用还仅限于辅助诊断范畴,实现全面的智慧病理诊断的路还很漫长。数字病理学的兴起,必将使病理工作的方式发生深刻的变革,同时为智慧病理奠定良好的基础。

     

    Abstract: In recent years, with the progress of image processing and network transmission technology, digital pathology (DP) is being more and more extensive applied in clinical practice, and new artificial-intelligence-assisted diagnosis technology based on digital imaging is emerging. Being a widely-used mature field, telepathology is changing the temporal and spatial scope of pathological diagnosis through remote electronic transmission of digital images. Fully digitized pathology departments are realizing the transformation of diagnostic modes and workflow from microscopic diagnosis to digital image computer review, and there have already been successful examples of large-scale fully digitized pathology departments. However, there are still many problems in the implementation of DP, for example, the quality stability and cost of the scanner, the validation of the system, the reengineering of the workflow, the training of pathologists and the change of their perception of DP, which all await further improvement. Although artificial intelligence diagnostic technology is showing great potential, its application in pathological work is still limited to the field of auxiliary diagnostics, and there is still a long way to go to the realization of comprehensive intelligent pathology. The rise of DP will bring about a profound change in the way of how pathological work is done and become a solid foundation for intelligent pathology.

     

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