[体外共聚焦激光扫描显微术的数字病理学]。

Dermatologie (Heidelberg, Germany) Pub Date : 2025-03-01 Epub Date: 2025-01-30 DOI:10.1007/s00105-025-05469-1
Alisa Swarlik, M Deußing, D Hartmann
{"title":"[体外共聚焦激光扫描显微术的数字病理学]。","authors":"Alisa Swarlik, M Deußing, D Hartmann","doi":"10.1007/s00105-025-05469-1","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":72786,"journal":{"name":"Dermatologie (Heidelberg, Germany)","volume":" ","pages":"135-139"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Digital pathology using ex vivo confocal laser scanning microscopy].\",\"authors\":\"Alisa Swarlik, M Deußing, D Hartmann\",\"doi\":\"10.1007/s00105-025-05469-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":72786,\"journal\":{\"name\":\"Dermatologie (Heidelberg, Germany)\",\"volume\":\" \",\"pages\":\"135-139\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dermatologie (Heidelberg, Germany)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s00105-025-05469-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dermatologie (Heidelberg, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00105-025-05469-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/30 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

体外共聚焦激光扫描显微镜(EVCM)是一种新的床边诊断方法,可以在新鲜组织上进行快速皮肤病理检查,同时直接创建数字图像。本文旨在概述EVCM领域的最新研究成果。由于对皮肤病学的大量研究,重点放在皮肤疾病的诊断上。非黑色素细胞癌(NMSC)被认为是EVCM中研究最多的疾病,具有很高的临床应用潜力。此外,对其他皮肤病,如肿瘤、感染性甚至罕见皮肤病的研究也取得了可喜的成果。人工智能(AI)在EVCM中的潜在应用可以使床边诊断更加高效,并加快临床工作流程。EVCM提供了一种用户友好的技术,模仿皮肤病理学,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。除了技术上的挑战,目前缺乏EVCM的免疫组织化学仍然是一个限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Digital pathology using ex vivo confocal laser scanning microscopy].

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信