Recent Advances in Skin Cancer Diagnosis: Comparative Efficacy of Different Diagnostic Methods
DOI:
https://doi.org/10.36489/nursing.2025v30i329p11872-11895Keywords:
skin cancer, diagnosis; dermoscopy, artificial intelligence, liquid biopsyAbstract
Introduction: Skin cancer is one of the most common malignancies worldwide, and melanoma remains its most
aggressive form. Early diagnosis is essential, and emerging technologies have improved diagnostic accuracy. Methods: A systematic literature review was conducted in PubMed, Scopus, Web of Science, ScienceDirect, and SciELO, covering studies published between 2020 and 2025 addressing diagnostic methods for skin cancer. Results: Sixteen studies met the inclusion criteria. Optical techniques such as super-high magnification dermoscopy and multispectral imaging achieved 91–94% sensitivity and 87–90% specificity. Liquid biopsy showed accuracy above 85%, while artificial intelligence–based methods exceeded 90%, particularly deep learning models. Integrated and educational approaches improved diagnostic sensitivity in primary care. Conclusion: Advances in optical, molecular, and computational diagnostics are transforming skin cancer detection, offering greater precision and accessibility.
The integration of these technologies into clinical practice enhances early detection and patient outcomes.
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Copyright (c) 2025 Louise Muricy Doetzer, Leonardo Bueno Anastácio, Marina Rosan Costa, Isabelle Santiago Silva, Ingrid Lehmkuhl Rinaldi, Amanda Cavalcante de Carvalho, Geovana Carla de Godoy Costa
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