An Efficient and Fast, Noninvasive, Auto-Fluorescence Detection Method for Early-Stage Oral Cancer

This article proposes an efficient and fast auto-fluorescence method for early-stage oral cancer detection. Using mechanical composition analysis and 3-D modeling, the simple automatic equipment prototype with noninvasive detection and real-time observation is constructed. Herpes simplex, sublingual gland cysts, and biological enzyme solutions [flavin adenine dinucleotide (FAD) and nicotinamide adenine dinucleotide (NADH)] at different concentrations are detected using a 560-nm filter with a bandwidth of 30 nm, and ultraviolet LED (UV-LED) light sources at 3 and 5 W with wavelengths of 375, 395, 405, 410, and 420 nm, respectively. Also, the applicability of the detection conditions for several regions of the oral cavity is demonstrated in detail. Experimental results show that the specificity of 0.95 by selecting UV-LED with specific wavelength and observing the characteristics of lesions. The proposed detection method will be helpful in screening oral cancer and auto-detection of precancerous lesions.