Open Access
29 March 2012 Wide-field spectral imaging of human ovary autofluorescence and oncologic diagnosis via previously collected probe data
Timothy E. Renkoski, Urs Utzinger, Kenneth D. Hatch M.D.
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Abstract
With no sufficient screening test for ovarian cancer, a method to evaluate the ovarian disease state quickly and nondestructively is needed. The authors have applied a wide-field spectral imager to freshly resected ovaries of 30 human patients in a study believed to be the first of its magnitude. Endogenous fluorescence was excited with 365-nm light and imaged in eight emission bands collectively covering the 400- to 640-nm range. Linear discriminant analysis was used to classify all image pixels and generate diagnostic maps of the ovaries. Training the classifier with previously collected single-point autofluorescence measurements of a spectroscopic probe enabled this novel classification. The process by which probe-collected spectra were transformed for comparison with imager spectra is described. Sensitivity of 100% and specificity of 51% were obtained in classifying normal and cancerous ovaries using autofluorescence data alone. Specificity increased to 69% when autofluorescence data were divided by green reflectance data to correct for spatial variation in tissue absorption properties. Benign neoplasm ovaries were also found to classify as nonmalignant using the same algorithm. Although applied ex vivo, the method described here appears useful for quick assessment of cancer presence in the human ovary.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Timothy E. Renkoski, Urs Utzinger, and Kenneth D. Hatch M.D. "Wide-field spectral imaging of human ovary autofluorescence and oncologic diagnosis via previously collected probe data," Journal of Biomedical Optics 17(3), 036003 (29 March 2012). https://doi.org/10.1117/1.JBO.17.3.036003
Published: 29 March 2012
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CITATIONS
Cited by 32 scholarly publications.
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KEYWORDS
Ovary

Luminescence

Multispectral imaging

Tissues

Cancer

Reflectivity

Ovarian cancer

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