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13 March 2015 Multispectral fluorescence imaging of human ovarian and Fallopian tube tissue for early stage cancer detection
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 M.D., Setsuko Chambers, John Black, Urs Utzinger, Jennifer Barton
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Proceedings Volume 9313, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII; 93130L (2015) https://doi.org/10.1117/12.2079791
Event: SPIE BiOS, 2015, San Francisco, California, United States
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.
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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 M.D., Setsuko Chambers, John Black, Urs Utzinger, and Jennifer Barton "Multispectral fluorescence imaging of human ovarian and Fallopian tube tissue for early stage cancer detection", Proc. SPIE 9313, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII, 93130L (13 March 2015); https://doi.org/10.1117/12.2079791
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KEYWORDS
Tissues
Luminescence
Fallopian tube
Cancer
Reflectivity
Imaging systems
Tumor growth modeling
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