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[使用离体共聚焦激光扫描显微镜的数字病理学]

[Digital pathology using ex vivo confocal laser scanning microscopy].

作者信息

Swarlik Alisa, Deußing M, Hartmann D

机构信息

Klinik und Poliklinik für Dermatologie und Allergologie, Klinikum der Universität München, München, Deutschland.

Klinik für Dermatologie, Allergologie und Lasermedizin, München Klinik, München, Deutschland.

出版信息

Dermatologie (Heidelb). 2025 Mar;76(3):135-139. doi: 10.1007/s00105-025-05469-1. Epub 2025 Jan 30.

Abstract

Ex vivo confocal laser scanning microscopy (EVCM) is a novel diagnostic method for bedside use with the possibility to perform rapid dermatopathological examinations on fresh tissue, while directly creating digital pictures. The aim of this article is to provide an overview of current study results in the field of EVCM. Due to the large number of studies in dermatology, the focus is set on the diagnosis of dermatological diseases. Nonmelanocytic cancer (NMSC) is considered the most studied disease in EVCM with high potential for clinical application. In addition, more studies on other dermatological diseases, such as neoplastic, infectious and even rare dermatological diseases, have shown promising results. The potential implementation of artificial intelligence (AI) in EVCM could make bedside diagnostics even more efficient and accelerate the clinical workflow. EVCM offers a user-friendly technology that mimics dermatopathology, thus, establishing its importance as an innovative addition to conventional dermatohistopathology. In addition to technical challenges, the current lack of immunohistochemistry in EVCM remains a limitation.

摘要

体外共聚焦激光扫描显微镜(EVCM)是一种可用于床边诊断的新型方法,能够在新鲜组织上进行快速皮肤病理学检查,同时直接生成数字图像。本文旨在概述EVCM领域的当前研究成果。由于皮肤病学领域的研究数量众多,重点将放在皮肤病的诊断上。非黑素细胞癌(NMSC)被认为是EVCM研究最多且具有高临床应用潜力的疾病。此外,对其他皮肤病,如肿瘤性、感染性甚至罕见皮肤病的更多研究也显示出了有前景的结果。在EVCM中潜在应用人工智能(AI)可使床边诊断更加高效并加速临床工作流程。EVCM提供了一种模拟皮肤病理学的用户友好型技术,因此确立了其作为传统皮肤组织病理学创新补充的重要性。除了技术挑战外,目前EVCM缺乏免疫组织化学仍是一个限制因素。

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