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皮肤活检综述:传统与现代技术

Mini review on skin biopsy: traditional and modern techniques.

作者信息

Alwahaibi Nasar, Alwahaibi Maryam

机构信息

Biomedical Science, College of Medicine and Health Science, Sultan Qaboos University, Muscat, Oman.

Biomedical Science, Sultan Qaboos University, Muscat, Oman.

出版信息

Front Med (Lausanne). 2025 Mar 5;12:1476685. doi: 10.3389/fmed.2025.1476685. eCollection 2025.

Abstract

The incidence of skin cancer continues to rise due to increased sun exposure and tanning habits, requiring early detection and treatment for favorable outcomes. Skin biopsy is an important diagnostic tool in dermatology and pathology, as it provides a valuable understanding of various skin diseases. Proper handling of skin biopsy specimens is vital to ensure accurate histopathological assessment. Still, the use of light microscopy and immunofluorescence provides a comprehensive approach to evaluating skin biopsy specimens, with each contributing unique information to aid in accurate diagnosis and management. This review highlights the evolution of skin biopsy practices, from traditional techniques to advanced methods incorporating artificial intelligence (AI) and convolutional neural networks. AI technologies enhance diagnostic accuracy and efficiency, aiding in the rapid analysis of skin lesions and biopsies. Despite challenges such as the need for extensively annotated datasets and ethical considerations, AI shows promise in dermatological diagnostics. The future of skin biopsy lies in minimally invasive techniques, liquid biopsies, and integrated pharmacogenomics for personalized medicine.

摘要

由于日晒增加和晒黑习惯,皮肤癌的发病率持续上升,这就需要早期检测和治疗以获得良好的治疗效果。皮肤活检是皮肤病学和病理学中一种重要的诊断工具,因为它能让我们对各种皮肤疾病有宝贵的了解。妥善处理皮肤活检标本对于确保准确的组织病理学评估至关重要。尽管如此,光学显微镜和免疫荧光的使用为评估皮肤活检标本提供了一种全面的方法,每种方法都能提供独特的信息,有助于准确诊断和治疗。这篇综述重点介绍了皮肤活检实践的演变,从传统技术到纳入人工智能(AI)和卷积神经网络的先进方法。人工智能技术提高了诊断的准确性和效率,有助于快速分析皮肤病变和活检标本。尽管存在诸如需要大量标注数据集和伦理考量等挑战,但人工智能在皮肤病诊断中显示出了前景。皮肤活检的未来在于微创技术、液体活检以及用于个性化医疗的综合药物基因组学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0c3/11919677/737c7030dab2/fmed-12-1476685-g001.jpg

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