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通过数字镜头了解乳腺病理学

Alexis Heller1, Lakshmi Kowtha1, Kriti Tiwari1

  • 1Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.

Seminars in diagnostic pathology
|May 1, 2025
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概括

数字病理学 (DP) 提高了使用全幻灯片成像 (WSI) 的乳腺癌诊断和协作. 虽然存在挑战,但DP提高了准确性,并为人工智能在癌症护理中的应用铺平了道路.

科学领域:

  • 病理学 病理学 病理学
  • 在瘤学瘤学.
  • 医疗成像医学成像

背景情况:

  • 数字病理学 (DP) 的采用正在改变诊断工作流程.
  • 西奈山医院为乳腺病理学实施了飞利浦的IntelliSite病理学解决方案 (PIPS).
  • 过渡期旨在提高诊断准确性,协作和教育.

研究的目的:

  • 评估数字病理学实施对乳腺病理学服务的影响.
  • 确定使用全幻灯片成像 (WSI) 进行初级诊断的好处和局限性.
  • 评估DP在通过AI整合推进癌症护理方面的作用.

主要方法:

  • 整合飞利浦的IntelliSite病理解决方案 (PIPS) 用于初级诊断使用.
  • 扫描玻璃幻灯片以创建高分辨率全幻灯片图像 (WSI).
  • 病理学家审查,注释和数字共享WSI用于诊断和协作.

主要成果:

  • 提高了诊断准确度,改善了低阳性染色的检测,以及精确的瘤/边缘测量.
  • 促进了立即的幻灯片共享,高效的退出,以及回顾性案例审查.
  • 最初的交付时间增加被增加的员工和扫描仪可用性所缓解.
关键词:
乳腺病理学 乳腺病理学数字病理学数字病理学免疫组织化学 免疫组织化学新生体 新生体 新生体虚拟的虚拟的虚拟的虚拟的虚拟工作流的工作流.

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结论:

  • 数字病理学对乳腺病理学产生了显著的积极影响,提高了效率和诊断能力.
  • 诸如可视化小晶体和手动染解释等局限性需要持续关注.
  • DP的实施是开发AI算法的基础,以预测治疗反应和推进癌症治疗.