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Journal of Biomedical Optics • new

Multispectral fluorescence imaging of human ovarian and fallopian tube tissue for early-stage cancer detection
Author(s): Tyler H. Tate; Brenda Baggett; Photini F. S. Rice; Jennifer W. Koevary; Gabriel V. Orsinger; Ariel C. Nymeyer; Weston A. Welge; Kathylynn Saboda; Denise J. Roe; Kenneth D. Hatch; Setsuko K. Chambers; Urs Utzinger; Jennifer K. Barton
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Paper Abstract

With early detection, 5-year survival rates for ovarian cancer exceed 90%, yet no effective early screening method exists. Emerging consensus suggests over 50% of the most lethal form of the disease originates in the fallopian tube. Twenty-eight women undergoing oophorectomy or debulking surgery provided informed consent for the use of surgical discard tissue samples for multispectral fluorescence imaging. Using multiple ultraviolet and visible excitation wavelengths and emissions bands, 12 fluorescence and 6 reflectance images of 47 ovarian and 31 fallopian tube tissue samples were recorded. After imaging, each sample was fixed, sectioned, and stained for pathological evaluation. Univariate logistic regression showed cancerous tissue samples had significantly lower intensity than noncancerous tissue for 17 image types. The predictive power of multiple image types was evaluated using multivariate logistic regression (MLR) and quadratic discriminant analysis (QDA). Two MLR models each using two image types had receiver operating characteristic curves with area under the curve exceeding 0.9. QDA determined 56 image type combinations with perfect resubstituting using as few as five image types. Adaption of the system for future <italic<in vivo</italic< fallopian tube and ovary endoscopic imaging is possible, which may enable sensitive detection of ovarian cancer with no exogenous contrast agents.

Paper Details

Date Published: 24 May 2016
PDF: 9 pages
J. Biomed. Opt. 21(5) 056005 doi: 10.1117/1.JBO.21.5.056005
Published in: Journal of Biomedical Optics Volume 21, Issue 5
Show Author Affiliations
Tyler H. Tate, College of Optical Sciences, The Univ. of Arizona (United States)
Brenda Baggett, The Univ. of Arizona (United States)
Photini F. S. Rice, The Univ. of Arizona (United States)
Jennifer W. Koevary, The Univ. of Arizona (United States)
Gabriel V. Orsinger, The Univ. of Arizona (United States)
Ariel C. Nymeyer, The Univ. of Arizona (United States)
Weston A. Welge, College of Optical Sciences, The Univ. of Arizona (United States)
Kathylynn Saboda, The Univ. of Arizona (United States)
Denise J. Roe, The Univ. of Arizona (United States)
Kenneth D. Hatch, The Univ. of Arizona (United States)
Setsuko K. Chambers, The Univ. of Arizona (United States)
Urs Utzinger, The Univ. of Arizona (United States)
Jennifer K. Barton, The Univ. of Arizona (United States)


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