From Vibrations to Visions: Raman Spectroscopy’s Impact on Skin Cancer Diagnostics

Abstract

Raman spectroscopy, a non-invasive diagnostic technique capturing molecular vibrations, offers significant advancements in skin cancer diagnostics. This review delineates the ascent of Raman spectroscopy from classical methodologies to the forefront of modern technology, emphasizing its precision in differentiating between malignant and benign skin tissues. Our study offers a detailed examination of distinct Raman spectroscopic signatures found in skin cancer, concentrating specifically on squamous cell carcinoma, basal cell carcinoma, and melanoma, across both in vitro and in vivo research. The discussion extends to future possibilities, spotlighting enhancements in portable Raman instruments, the adoption of machine learning for spectral data refinement, and the merging of Raman imaging with other diagnostic techniques. The review culminates by contemplating the broader implications of these advancements, suggesting a trajectory that may significantly optimize the accuracy and efficiency of skin cancer diagnostics.

Diagnosis of Skin Cancer: From the Researcher Bench to the Patient’s Bedside

“…Raman spectroscopy has a wide range of applications, such as assessing SCC, BCC, and melanoma, as Delrue et al’s study extensively discussed. [ 20 ]. In Bozsányi et al’s publication, a novel imaging technique, optically guided high-frequency ultrasound, has shown high sensitivity and specificity in the differentiation of high-risk BCC subtypes; thus, this technique potentially could aid clinical decision making regarding the selection of the appropriate treatment modality [ 21 ].…”