title: Toward the discrimination of early melanoma from common and dysplastic nevus using fiber optic diffuse reflectance spectroscopy.
abstract: We describe a study of the discrimination of early melanoma from common and dysplastic nevus using fiber optic diffuse reflectance spectroscopy. Diffuse reflectance spectra in the wavelength range 550 to 1000 nm are obtained using 400-microm core multimode fibers arranged in a six-illumination-around-one-collection geometry with a single fiber-fiber spacing of 470 microm. Spectra are collected at specific locations on 120 pigmented lesions selected by clinicians as possible melanoma, including 64 histopathologically diagnosed as melanoma. These locations are carried through to the histopathological diagnosis, permitting a spatially localized comparison with the corresponding spectrum. The variations in spectra between groups of lesions with different diagnoses are examined and reduced to features suitable for discriminant analysis. A classifier distinguishing between benign and malignant lesions performs with sensitivity/specificity of between 6469% and 7278%. Classifiers between pairs of the group common nevus, dysplastic nevus, in situ melanoma, and invasive melanoma show better or similar performance than the benign/malignant classifier, and analysis provides evidence that different spectral features are needed for each pair of groups. This indicates that multiple discriminant systems are likely to be required to distinguish between melanoma and similar lesions.
authors.affiliation: The University of Western Australia, School of Electrical, Electronic, and Computer Engineering, Optical+Biomedical Engineering Laboratory, M018, 35 Stirling Highway, Crawley, Western Australia 6009, Australia. packrat@ee.uwa.edu.au
authors.forename: Bruce W
authors.initials: BW
authors.lastname: Murphy
authors.forename: Rebecca J
authors.initials: RJ
authors.lastname: Webster
authors.forename: Berwin A
authors.initials: BA
authors.lastname: Turlach
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: Quirk
authors.forename: Christopher D
authors.initials: CD
authors.lastname: Clay
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Heenan
authors.forename: David D
authors.initials: DD
authors.lastname: Sampson
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D003937:Diagnosis, Differential; D016002:Discriminant Analysis; D004416:Dysplastic Nevus Syndrome / Q000175:diagnosis*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005336:Fiber Optic Technology / Q000295:instrumentation*; D006801:Humans; D008545:Melanoma / Q000175:diagnosis*; D055100:Optical Fibers; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012878:Skin Neoplasms / Q000175:diagnosis*; D013057:Spectrum Analysis / Q000295:instrumentation* / Q000379:methods*