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[用于皮肤肿瘤的离体共聚焦激光扫描显微镜与人工智能]

[Ex vivo confocal laser scanning microscopy and artificial intelligence for skin tumors].

作者信息

Wex Katharina, Deußing Maximilian, Hartmann Daniela

机构信息

Klinik und Poliklinik für Dermatologie und Allergologie, Klinikum der Universität München, Frauenlobstr. 9-11, 80337, München, Deutschland.

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

出版信息

Dermatologie (Heidelb). 2025 Aug 18. doi: 10.1007/s00105-025-05566-1.

DOI:10.1007/s00105-025-05566-1
PMID:40824607
Abstract

Ex vivo confocal laser scanning microscopy (EVCM) is an innovative diagnostic method that allows tissue samples to be visualized digitally, quickly and in high resolution immediately after removal. It provides dermatologists with an overview of possible pathological findings during the surgical procedure. At present, research in the field of EVCM mainly focuses on basal cell carcinomas, but other tumor entities such as squamous cell carcinomas or malignant melanomas are increasingly being investigated. In addition, preliminary studies show promising results in the additional use of artificial intelligence (AI) for the automated detection of skin tumors and assessment of surgical margins. In future, EVCM and AI could be used together to expedite clinical processes and thus enable patients to be treated in a time and resource efficient manner.

摘要

离体共聚焦激光扫描显微镜(EVCM)是一种创新的诊断方法,可在组织样本切除后立即对其进行数字化、快速且高分辨率的可视化观察。它为皮肤科医生提供了手术过程中可能出现的病理结果的概述。目前,EVCM领域的研究主要集中在基底细胞癌,但诸如鳞状细胞癌或恶性黑色素瘤等其他肿瘤实体也越来越多地受到研究。此外,初步研究表明,在额外使用人工智能(AI)进行皮肤肿瘤自动检测和手术切缘评估方面取得了有前景的结果。未来,EVCM和AI可以一起使用,以加快临床流程,从而使患者能够以高效利用时间和资源的方式接受治疗。

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本文引用的文献

1
Detection of basal cell carcinoma by machine learning-assisted ex vivo confocal laser scanning microscopy.通过机器学习辅助的离体共聚焦激光扫描显微镜检测基底细胞癌
Int J Dermatol. 2025 Apr;64(4):684-692. doi: 10.1111/ijd.17519. Epub 2024 Dec 3.
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Diagnosis of Basal Cell Carcinoma with Ex-vivo Confocal Laser Scanning Microscopy in a Real-life Setting.体外表层共聚焦激光扫描显微镜在真实环境下对基底细胞癌的诊断。
Acta Derm Venereol. 2023 Mar 30;103:adv4859. doi: 10.2340/actadv.v103.4859.
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Mohs Micrographic Surgery.Mohs 显微外科手术。
Dermatol Clin. 2023 Jan;41(1):39-47. doi: 10.1016/j.det.2022.07.006. Epub 2022 Oct 28.
4
Ex vivo confocal laser scanning microscopy: A diagnostic technique for easy real-time evaluation of benign and malignant skin tumours.共聚焦激光扫描显微镜:一种用于良性和恶性皮肤肿瘤的易于实时评估的诊断技术。
J Biophotonics. 2022 Jun;15(6):e202100372. doi: 10.1002/jbio.202100372. Epub 2022 Mar 24.
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Classification of Basal Cell Carcinoma in Ex Vivo Confocal Microscopy Images from Freshly Excised Tissues Using a Deep Learning Algorithm.基于深度学习算法的离体共聚焦显微镜新鲜组织图像中基底细胞癌的分类。
J Invest Dermatol. 2022 May;142(5):1291-1299.e2. doi: 10.1016/j.jid.2021.09.029. Epub 2021 Oct 23.
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Deep learning automated pathology in ex vivo microscopy.离体显微镜检查中的深度学习自动化病理学
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Ex Vivo Microscopy: A Promising Next-Generation Digital Microscopy Tool for Surgical Pathology Practice.离体显微镜检查:一种有前途的下一代数字显微镜工具,可用于外科病理学实践。
Arch Pathol Lab Med. 2019 Sep;143(9):1058-1068. doi: 10.5858/arpa.2019-0058-RA. Epub 2019 Jul 11.
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Current and future applications of confocal laser scanning microscopy imaging in skin oncology.共聚焦激光扫描显微镜成像在皮肤肿瘤学中的当前及未来应用
Oncol Lett. 2019 May;17(5):4102-4111. doi: 10.3892/ol.2019.10066. Epub 2019 Feb 25.