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Two-channel autofluorescence analysis for oral cancer.
Huang, Tze-Ta; Chen, Ken-Chung; Wong, Tung-Yiu; Chen, Chih-Yang; Chen, Wang-Ch; Chen, Yi-Chun; Chang, Ming-Hsuan; Wu, Dong-Yuan; Huang, Teng-Yi; Nioka, Shoko; Chung, Pau-Choo; Huang, Jehn-Shyun.
Afiliación
  • Huang TT; National Cheng Kung University Hospital, Department of Stomatology, Division of Oral and Maxillofaci, Taiwan.
  • Chen KC; National Cheng Kung University Medical College and Hospital, Institute of Oral Medicine, Tainan, Taiwan.
  • Wong TY; National Cheng Kung University Hospital, Department of Stomatology, Division of Oral and Maxillofaci, Taiwan.
  • Chen CY; National Cheng Kung University Medical College and Hospital, Institute of Oral Medicine, Tainan, Taiwan.
  • Chen WC; National Cheng Kung University Hospital, Department of Stomatology, Division of Oral and Maxillofaci, Taiwan.
  • Chen YC; National Cheng Kung University Medical College and Hospital, Institute of Oral Medicine, Tainan, Taiwan.
  • Chang MH; Delta Electronics, Inc., Tainan, Taiwan.
  • Wu DY; Delta Electronics, Inc., Tainan, Taiwan.
  • Huang TY; National Cheng Kung University Medical College and Hospital, Institute of Oral Medicine, Tainan, Taiwan.
  • Nioka S; National Cheng Kung University, Institute of Computer and Communication Engineering, Tainan, Taiwan.
  • Chung PC; National Cheng Kung University, Institute of Computer and Communication Engineering, Tainan, Taiwan.
  • Huang JS; National Cheng Kung University, Institute of Computer and Communication Engineering, Tainan, Taiwan.
J Biomed Opt ; 24(5): 1-10, 2018 11.
Article en En | MEDLINE | ID: mdl-30411551
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Espectrometría de Fluorescencia / Neoplasias de la Boca Tipo de estudio: Diagnostic_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: J Biomed Opt Asunto de la revista: ENGENHARIA BIOMEDICA / OFTALMOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Espectrometría de Fluorescencia / Neoplasias de la Boca Tipo de estudio: Diagnostic_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: J Biomed Opt Asunto de la revista: ENGENHARIA BIOMEDICA / OFTALMOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Taiwán