皮肤疾病成像诊断的S1指南
Maximilian Deußing1,2, Sandra Schuh3, Janis Thamm3
1Department of Dermatology and Allergy, LMU Munich, Munich, Germany.
概括
本指南审查了非侵入性皮肤成像技术,如皮肤透视和光学连贯性断层扫描 (OCT). 它详细介绍了它们在诊断皮肤疾病中的应用,并强调了人工智能提高诊断准确性的潜力.
科学领域:
- 皮肤病学 皮肤病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 非侵入性皮肤成像对于体内检查至关重要,如皮肤显微镜和超声波等已知方法被广泛使用.
- 新兴技术包括光学连贯断层扫描 (OCT),反射共焦显微镜 (RCM) 和线场共焦OCT (LC-OCT) 在临床实践中越来越多地被采用.
- 像多光子断层扫描和光声成像等先进的方法显示出对未来应用的重大前景.
研究的目的:
- 提供各种非侵入性皮肤成像设备和技术的全面概述.
- 解释每个成像方法的工作原理.
- 为皮肤病诊断中的每个程序提供当前的证据,包括指示和限制.
主要方法:
- 审查已建立和新兴的非侵入性皮肤成像技术.
- 解释皮肤透视,超声波,OCT,RCM,LC-OCT,多光子断层扫描和光声成像背后的技术原理.
- 对当前有关这些方法临床应用和诊断性能的文献进行分析.
主要成果:
- 既有方法 (皮肤透视,超声波) 和新兴技术 (OCT,RCM,LC-OCT) 为皮肤检查提供不同的透深度和分辨率.
- RCM和LC-OCT适用于诸如莫斯外科手术边际评估之类的手术.
- 这些成像模式的数据非常适合基于AI的算法来提高诊断准确性.
结论:
- 每种成像方法都有独特的优点和局限性,指导它们在诊断皮肤瘤,炎症性,传染性和寄生虫性皮肤病时的首选指示.
- 人工智能与皮肤成像数据的整合具有显著的潜力,可以支持临床医生并增强诊断能力.
- 本指南是了解和在临床实践中应用各种皮肤成像技术的宝贵资源.
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