Towards non-invasive monitoring of non-melanoma skin cancer using spatially offset Raman spectroscopy.
Martha Z VardakiEleftherios PavlouNikolaos SimantirisEvangeli LampriKonstantinos SeretisNikolaos KourkoumelisPublished in: The Analyst (2023)
BCC (basal cell carcinoma) and SCC (squamous cell carcinoma) account for the vast majority of cases of non-melanoma skin cancer (NMSC). The gold standard for the diagnosis remains biopsy, which, however, is an invasive and time-consuming procedure. In this study, we employed spatially offset Raman spectroscopy (SORS), a non-invasive approach, allowing the assessment of deeper skin tissue levels and collection of Raman photons with a bias towards the different layers of epidermis, where the non-melanoma cancers are initially formed and expand. Ex vivo Raman measurements were acquired from 22 skin biopsies using conventional back-scattering and a defocused modality (with and without a spatial offset). The spectral data were assessed against corresponding histopathological data to determine potential prognostic factors for lesion detection. The results revealed a positive correlation of protein and lipid content with the SCC and BCC types, respectively. By further correlating with patient data, multiple factor analysis (MFA) demonstrated a strong clustering of variables based on sex and age in all modalities. Specifically for the defocused modality (zero and 2 mm offset), further clustering occurred based on pathology. This study demonstrates the utility of the SORS technology in NMSC diagnosis prior to histopathological examination on the same tissue.
Keyphrases
- skin cancer
- raman spectroscopy
- basal cell carcinoma
- prognostic factors
- squamous cell carcinoma
- electronic health record
- soft tissue
- rna seq
- optical coherence tomography
- ultrasound guided
- label free
- risk assessment
- machine learning
- case report
- magnetic resonance
- small molecule
- minimally invasive
- fatty acid
- locally advanced
- protein protein