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Comparative evaluation of the diagnostic performance of autofluorescence and diffuse reflectance in oral cancer detection: a clinical study
Author(s) -
Jayanthi Jayaraj L.,
Subhash Narayanan,
Stephen Manju,
Philip Emmanuel K.,
Beena Valappil T.
Publication year - 2011
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201100037
Subject(s) - autofluorescence , linear discriminant analysis , receiver operating characteristic , diffuse reflectance infrared fourier transform , principal component analysis , reflectivity , gold standard (test) , diffuse reflection , cancer , medicine , area under the curve , nuclear medicine , analytical chemistry (journal) , chemistry , radiology , mathematics , optics , chromatography , fluorescence , statistics , physics , biochemistry , photocatalysis , catalysis
Autofluorescence (AF) and diffuse reflectance (DR) spectroscopic techniques have shown good diagnostic accuracies for noninvasive detection of oral cavity cancer. In the present study, AF and DR spectra recorded in vivo from the same set of sites in 65 patients were analyzed using Principal component analysis (PCA) and linear discriminant analysis (LDA). The effectiveness of these two techniques was assessed by comparison with gold standard and their discrimination efficiency was determined from the area under the receiver operator characteristic (AUC‐ROC) curve. Analysis using a DR technique shows a higher AUC‐ROC of 0.991 as against 0.987 for AF spectral data. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)