Multispectral fluorescence imaging of human ovarian and fallopian tube tissue for early-stage cancer detection

Tyler H. Tate, Brenda Baggett, Photini F S Rice, Jennifer Watson Koevary, Gabriel V. Orsinger, Ariel C. Nymeyer, Weston A. Welge, Kathylynn Saboda, Denise Roe, Kenneth D Hatch, Setsuko K Chambers, Urs Utzinger, Jennifer K Barton

Research output: Contribution to journalArticle

10 Citations (Scopus)

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 in vivo fallopian tube and ovary endoscopic imaging is possible, which may enable sensitive detection of ovarian cancer with no exogenous contrast agents.

Original languageEnglish (US)
Article number056005
JournalJournal of Biomedical Optics
Volume21
Issue number5
DOIs
StatePublished - May 1 2016

Fingerprint

cancer
Fluorescence
Tissue
tubes
Imaging techniques
Logistics
fluorescence
logistics
Discriminant analysis
regression analysis
Surgery
Contrast Media
ovaries
Screening
curves
surgery
Wavelength
emerging
screening
receivers

Keywords

  • cancer
  • fallopian
  • fluorescence
  • imaging
  • multispectral
  • ovary

ASJC Scopus subject areas

  • Biomedical Engineering
  • Biomaterials
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

Cite this

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

In: Journal of Biomedical Optics, Vol. 21, No. 5, 056005, 01.05.2016.

Research output: Contribution to journalArticle

Tate, Tyler H. ; Baggett, Brenda ; Rice, Photini F S ; Koevary, Jennifer Watson ; Orsinger, Gabriel V. ; Nymeyer, Ariel C. ; Welge, Weston A. ; Saboda, Kathylynn ; Roe, Denise ; Hatch, Kenneth D ; Chambers, Setsuko K ; Utzinger, Urs ; Barton, Jennifer K. / Multispectral fluorescence imaging of human ovarian and fallopian tube tissue for early-stage cancer detection. In: Journal of Biomedical Optics. 2016 ; Vol. 21, No. 5.
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