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. 2003 Apr 20;104(4):477-81.
doi: 10.1002/ijc.10959.

Optimal excitation-emission wavelengths for autofluorescence diagnosis of bladder tumors

Wei Zheng  1 , Weber Lau, Christopher Cheng, Khee Chee Soo, Malini Olivo
Affiliations

Optimal excitation-emission wavelengths for autofluorescence diagnosis of bladder tumors

Wei Zheng et al. Int J Cancer. .

Abstract

Tissue autofluorescence depends on endogenous fluorophores in the tissue, which undergo a change associated with malignant transformation. This change can be detected as an alteration in the spectral profile and intensity of autofluorescence. Our purpose was to determine the optimal excitation and emission wavelengths for autofluorescence diagnosis of bladder cancer. A total of 52 bladder tissue specimens were obtained from 25 patients undergoing mucosal biopsies or surgical resections of bladder tumors. Light-induced autofluorescence measurements were performed to study the spectroscopic differences between normal and malignant bladder tissue. Fluorescence excitation wavelengths varying from 220 to 500 nm were used to induce tissue autofluorescence, and emission spectra were measured in the 280-700 nm range. These spectra were then combined to construct 2-dimensional fluorescence excitation-emission matrices (EEMs). Significant changes in fluorescence intensity of EEMs were observed between normal and tumor bladder tissues, the most marked differences being at the excitation wavelengths of 280 and 330 nm. The diagnostic algorithm based on the combination of the fluorescence peak intensity ratios of I(350)/I(470) at 280 nm excitation and I(390)/I(470) at 330 nm excitation yielded a sensitivity of 100% [95% confidence interval (CI) 0.95-1.0] and specificity of 100% (95% CI 0.90-1.0). The results of the present fluorescence EEM study demonstrate that autofluorescence spectroscopy can distinguish malignant from normal bladder tissue and that excitation wavelengths of 280 and 330 nm are the most significant for differentiation between normal and malignant bladder mucosae with a high degree of diagnostic accuracy.

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