| Literature DB >> 30411551 |
Tze-Ta Huang1,2, Ken-Chung Chen1,2, Tung-Yiu Wong1,2, Chih-Yang Chen3, Wang-Ch Chen3, Yi-Chun Chen2, Ming-Hsuan Chang4, Dong-Yuan Wu4, Teng-Yi Huang4, Shoko Nioka5, Pau-Choo Chung6, Jehn-Shyun Huang1,2.
Abstract
We created a two-channel autofluorescence test to detect oral cancer. The wavelengths 375 and 460 nm, with filters of 479 and 525 nm, were designed to excite and detect reduced-form nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FAD) autofluorescence. Patients with oral cancer or with precancerous lesions, and a control group with healthy oral mucosae, were enrolled. The lesion in the autofluorescent image was the region of interest. The average intensity and heterogeneity of the NADH and FAD were calculated. The redox ratio [(NADH)/(NADH + FAD)] was also computed. A quadratic discriminant analysis (QDA) was used to compute boundaries based on sensitivity and specificity. We analyzed 49 oral cancer lesions, 34 precancerous lesions, and 77 healthy oral mucosae. A boundary (sensitivity: 0.974 and specificity: 0.898) between the oral cancer lesions and healthy oral mucosae was validated. Oral cancer and precancerous lesions were also differentiated from healthy oral mucosae (sensitivity: 0.919 and specificity: 0.755). The two-channel autofluorescence detection device and analyses of the intensity and heterogeneity of NADH, and of FAD, and the redox ratio combined with a QDA classifier can differentiate oral cancer and precancerous lesions from healthy oral mucosae.Entities:
Keywords: autofluorescence; cancer detection; oral cancer; redox ratio
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Year: 2018 PMID: 30411551 PMCID: PMC6992899 DOI: 10.1117/1.JBO.24.5.051402
Source DB: PubMed Journal: J Biomed Opt ISSN: 1083-3668 Impact factor: 3.170