Horton Luke, Fakhoury Joseph W, Manwar Rayyan, Rajabi-Estarabadi Ali, Turk Dilara, O'Leary Sean, Fotouhi Audrey, Daveluy Steven, Jain Manu, Nouri Keyvan, Mehregan Darius, Avanaki Kamran
Department of Dermatology, University of California Irvine, Irvine, CA 92617, USA.
Department of Dermatology, Wayne State University School of Medicine, Wayne State University, Detroit, MI 48202, USA.
Biosensors (Basel). 2025 May 7;15(5):297. doi: 10.3390/bios15050297.
Imaging technologies are constantly being developed to improve not only melanoma diagnosis, but also staging, treatment planning, and disease progression. We start with a description of how melanoma is characterized using histology, and then continue by discussing nearly two dozen different technologies, including systems currently used in medical practice and those in development. For each technology, we describe its method of operation, how it is or would be projected to be most commonly used in diagnosing and managing melanoma, and for systems in current use, we identify at least one current manufacturer. We also provide a table including the biomarkers identified by and main limitations associated with each technology and conclude by offering suggestions on specific characteristics that might best enhance a technology's potential for widespread clinical adoption.
成像技术不断发展,不仅用于改善黑色素瘤的诊断,还用于分期、治疗规划和疾病进展评估。我们首先描述黑色素瘤如何通过组织学进行特征描述,然后继续讨论近二十种不同的技术,包括目前在医学实践中使用的系统和正在研发的系统。对于每种技术,我们描述其操作方法、在诊断和管理黑色素瘤中最常用的方式或预计的常用方式,对于目前使用的系统,我们确定至少一家当前制造商。我们还提供了一个表格,包括每种技术所识别的生物标志物和与之相关的主要局限性,并通过就可能最能增强技术广泛临床应用潜力的特定特征提出建议来得出结论。