Two-channel autofluorescence analysis for oral cancer

Autor: Dong Yuan Wu, Pau-Choo Chung, Chih Yang Chen, Ken Chung Chen, Shoko Nioka, Tze Ta Huang, Ming Hsuan Chang, Yi Chun Chen, Wang Ch Chen, Tung Yiu Wong, Jehn Shyun Huang, Teng Yi Huang
Rok vydání: 2018
Předmět:
Adult
Male
Pathology
medicine.medical_specialty
Biomedical Engineering
Cancer detection
Nicotinamide adenine dinucleotide
Sensitivity and Specificity
01 natural sciences
010309 optics
Biomaterials
Lesion
Young Adult
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
0103 physical sciences
Biopsy
medicine
Humans
Aged
Aged
80 and over

Flavin adenine dinucleotide
Redox ratio
medicine.diagnostic_test
business.industry
Mouth Mucosa
Discriminant Analysis
Middle Aged
NAD
Atomic and Molecular Physics
and Optics

Electronic
Optical and Magnetic Materials

stomatognathic diseases
Autofluorescence
Spectrometry
Fluorescence

Special Section on Metabolic Imaging and Spectroscopy: Britton Chance 105th Birthday Commemorative
chemistry
030220 oncology & carcinogenesis
Flavin-Adenine Dinucleotide
Female
Mouth Neoplasms
medicine.symptom
business
Zdroj: Journal of Biomedical Optics. 24:1
ISSN: 1083-3668
DOI: 10.1117/1.jbo.24.5.051402
Popis: 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.
Databáze: OpenAIRE