We report the utility of fiberoptic Raman spectroscopy for realizing post-treatment NPC patients surveying and accurate detection of tumor recurrence. Distinct Raman spectral differences are observed among the tissue Raman spectra of normal, NPC, and non-recurring post-treatment patients. The classification models using the in vivo fingerprint and high-wavenumber (FP/HW) tissue Raman spectra together with the partial-least-squares linear-discriminant-analysis (PLS-LDA) provide the high diagnostic accuracy for detecting recurrent NPC from both inflammation and long-term post-treatment fibrosis. We further quantitatively analyze the major biochemicals related to the NPC malignancy (e.g., triolein, elastin, keratin, fibrillar collagen, and type IV collagen, etc.). This study suggests that fiberoptic Raman spectroscopy can enable real-time in-vivo post-treatment patients surveying and tumor recurrence detection with high biomolecular sensitiveness.
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