From Vibrations to Visions: Raman Spectroscopy's Impact on Skin Cancer Diagnostics.
Charlotte DelrueSpeeckaert ReinhartMatthijs OyaertSander De BruyneMarijn M SpeeckaertPublished in: Journal of clinical medicine (2023)
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.
Keyphrases
- skin cancer
- raman spectroscopy
- squamous cell carcinoma
- machine learning
- basal cell carcinoma
- electronic health record
- big data
- gene expression
- high resolution
- molecular docking
- optical coherence tomography
- artificial intelligence
- genome wide
- dna methylation
- current status
- computed tomography
- radiation therapy
- magnetic resonance imaging
- lymph node metastasis
- locally advanced
- rectal cancer
- data analysis