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Proceedings Paper

Multispectral fluorescence imaging of human ovarian and Fallopian tube tissue for early stage cancer detection
Author(s): Tyler Tate; Brenda Baggett; Photini Rice; Jennifer Watson; Gabe Orsinger; Ariel C. Nymeyer; Weston A. Welge; Molly Keenan; Kathylynn Saboda; Denise J. Roe; Kenneth Hatch; Setsuko Chambers; John Black; Urs Utzinger; Jennifer Barton
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Paper Abstract

With early detection, five year survival rates for ovarian cancer are over 90%, yet no effective early screening method exists. Emerging consensus suggests that perhaps over 50% of the most lethal form of the disease, high grade serous ovarian cancer, originates in the Fallopian tube. Cancer changes molecular concentrations of various endogenous fluorophores. Using specific excitation wavelengths and emissions bands on a Multispectral Fluorescence Imaging (MFI) system, spatial and spectral data over a wide field of view can be collected from endogenous fluorophores. Wavelength specific reflectance images provide additional information to normalize for tissue geometry and blood absorption. Ratiometric combination of the images may create high contrast between neighboring normal and abnormal tissue. Twenty-six women undergoing oophorectomy or debulking surgery consented the use of surgical discard tissue samples for MFI imaging. Forty-nine pieces of ovarian tissue and thirty-two pieces of Fallopian tube tissue were collected and imaged with excitation wavelengths between 280 nm and 550 nm. After imaging, each tissue sample was fixed, sectioned and HE stained for pathological evaluation. Comparison of mean intensity values between normal, benign, and cancerous tissue demonstrate a general trend of increased fluorescence of benign tissue and decreased fluorescence of cancerous tissue when compared to normal tissue. The predictive capabilities of the mean intensity measurements are tested using multinomial logistic regression and quadratic discriminant analysis. Adaption of the system for in vivo Fallopian tube and ovary endoscopic imaging is possible and is briefly described.

Paper Details

Date Published: 13 March 2015
PDF: 10 pages
Proc. SPIE 9313, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII, 93130L (13 March 2015); doi: 10.1117/12.2079791
Show Author Affiliations
Tyler Tate, College of Optical Sciences, The Univ. of Arizona (United States)
Brenda Baggett, The Univ. of Arizona (United States)
Photini Rice, The Univ. of Arizona (United States)
Jennifer Watson, The Univ. of Arizona (United States)
Gabe 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)
Molly Keenan, The Univ. of Arizona (United States)
Kathylynn Saboda, Univ. of Arizona Cancer Ctr. (United States)
Denise J. Roe, Univ. of Arizona Cancer Ctr. (United States)
Kenneth Hatch, Univ. of Arizona Cancer Ctr. (United States)
Setsuko Chambers, Univ. of Arizona Cancer Ctr. (United States)
John Black, Glannaventa, Inc. (United States)
Urs Utzinger, College of Optical Sciences, Univ. of Arizona (United States)
The Univ. of Arizona (United States)
Jennifer Barton, College of Optical Sciences, Univ. of Arizona (United States)
The Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 9313:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest; Quan Liu, Editor(s)

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