19 April 2017 Portable LED-induced autofluorescence spectroscopy for oral cancer diagnosis
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Oral cancer is a serious and growing problem in many developing and developed countries. To improve the cancer screening procedure, we developed a portable light-emitting-diode (LED)-induced autofluorescence (LIAF) imager that contains two wavelength LED excitation light sources and multiple filters to capture ex vivo oral tissue autofluorescence images. Compared with conventional means of oral cancer diagnosis, the LIAF imager is a handier, faster, and more highly reliable solution. The compact design with a tiny probe allows clinicians to easily observe autofluorescence images of hidden areas located in concave deep oral cavities. The ex vivo trials conducted in Taiwan present the design and prototype of the portable LIAF imager used for analyzing 31 patients with 221 measurement points. Using the normalized factor of normal tissues under the excitation source with 365 nm of the central wavelength and without the bandpass filter, the results revealed that the sensitivity was larger than 84%, the specificity was not smaller than over 76%, the accuracy was about 80%, and the area under curve of the receiver operating characteristic (ROC) was achieved at about 87%, respectively. The fact shows the LIAF spectroscopy has the possibilities of ex vivo diagnosis and noninvasive examinations for oral cancer.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Yung-Jhe Yan, Yung-Jhe Yan, Ting-Wei Huang, Ting-Wei Huang, Nai-Lun Cheng, Nai-Lun Cheng, Yao-Fang Hsieh, Yao-Fang Hsieh, Ming-Hsui Tsai, Ming-Hsui Tsai, Jin-Chern Chiou, Jin-Chern Chiou, Jeng-Ren Duann, Jeng-Ren Duann, Yung-Jiun Lin, Yung-Jiun Lin, Chin-Siang Yang, Chin-Siang Yang, Mang Ou-Yang, Mang Ou-Yang, } "Portable LED-induced autofluorescence spectroscopy for oral cancer diagnosis," Journal of Biomedical Optics 22(4), 045007 (19 April 2017). https://doi.org/10.1117/1.JBO.22.4.045007 . Submission: Received: 30 August 2016; Accepted: 7 March 2017
Received: 30 August 2016; Accepted: 7 March 2017; Published: 19 April 2017

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