We report on the development of a simultaneous fingerprint and high-wavenumber (FP/HW) Raman endoscopy platform for real-time, in vivo diagnosis of bladder cancer during transurethral resection of bladder tumor (TURBT). Significant tissue Raman spectral differences are observed in both FP (i.e., 800 – 1800 cm-1) and HW (i.e., 2800 – 3600 cm-1) regions between normal and cancer as well as between normal and carcinoma in situ (CIS) tissue sites, indicating the biomolecular differences among cancer, CIS and normal tissue sites. A cancer diagnosis model has been developed based on partial-least-squares linear-discriminant-analysis (PLS-LDA) with leave-one-tissue site-out cross-validation (LOOCV). The diagnosis model yields the diagnostic accuracy of > 90 % for identifying both cancer and CIS sites from normal bladder tissue. Through this work, we demonstrate that in vivo FP/HW fiberoptic Raman endoscopy is a promising and effective clinical tool for rapid diagnosis of cancer and pre-cancer tissue sites during TURBT from biomolecular level.
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