Fluorescence and Multiphoton Imaging for Tissue Characterization of a Model of Postmenopausal Ovarian Cancer
AuthorSawyer, Travis W
Koevary, Jennifer W
Howard, Caitlin C
Austin, Olivia J
Rice, Photini F S
Hutchens, Gabrielle V
Chambers, Setsuko K
Connolly, Denise C
Barton, Jennifer K
AffiliationUniv Arizona, James C Wyant Coll Opt Sci
Univ Arizona, Dept Biomed Engn
Univ Arizona, Coll Med
MetadataShow full item record
CitationSawyer, T.W., Koevary, J.W., Howard, C.C., Austin, O.J., Rice, P.F.S., Hutchens, G.V., Chambers, S.K., Connolly, D.C. and Barton, J.K. (2020), Fluorescence and Multiphoton Imaging for Tissue Characterization of a Model of Postmenopausal Ovarian Cancer. Lasers Surg Med. doi:10.1002/lsm.23251
JournalLASERS IN SURGERY AND MEDICINE
Rights© 2020 Wiley Periodicals, Inc.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractBackground and Objectives To determine the efficacy of targeted fluorescent biomarkers and multiphoton imaging to characterize early changes in ovarian tissue with the onset of cancer. Study Design/Materials and Methods A transgenic TgMISIIR-TAg mouse was used as an animal model for ovarian cancer. Mice were injected with fluorescent dyes to bind to the folate receptor alpha, matrix metalloproteinases, and integrins. Half of the mice were treated with 4-vinylcyclohexene diepoxide (VCD) to simulate menopause. Widefield fluorescence imaging (WFI) and multiphoton imaging of the ovaries and oviducts were conducted at 4 and 8 weeks of age. The fluorescence signal magnitude was quantified, and texture features were derived from multiphoton imaging. Linear discriminant analysis was then used to classify mouse groups. Results Imaging features from both fluorescence imaging and multiphoton imaging show significant changes (P < 0.01) with age, VCD treatment, and genotype. The classification model is able to classify different groups to accuracies of 75.53%, 69.53%, and 86.76%, for age, VCD treatment, and genotype, respectively. Building a classification model using features from multiple modalities shows marked improvement over individual modalities. Conclusions This study demonstrates that using WFI with targeted biomarkers, and multiphoton imaging with endogenous contrast shows promise for detecting early changes in ovarian tissue with the onset of cancer. The results indicate that multimodal imaging can provide higher sensitivity for classifying tissue types than using single modalities alone. Lasers Surg. Med. (c) 2020 Wiley Periodicals, Inc.
Note12 month embargo; published online: 20 April 2020
VersionFinal accepted manuscript
- Quantification of multiphoton and fluorescence images of reproductive tissues from a mouse ovarian cancer model shows promise for early disease detection.
- Authors: Sawyer TW, Koevary JW, Rice FPS, Howard CC, Austin OJ, Connolly DC, Cai KQ, Barton JK
- Issue date: 2019 Sep
- Comparison of Reproductive Function in Female <i>TgMISIIR-TAg</i> Transgenic and Wildtype C57BL/6 Mice.
- Authors: Hoyer PB, Rice PF, Howard CC, Koevary JW, Dominguez Cooks JP, Hutchens GV, Chambers SK, Craig ZR, Connolly DC, Barton JK
- Issue date: 2019 Feb 1
- 7,12-dimethylbenz[a]anthracene induces sertoli-leydig-cell tumors in the follicle-depleted ovaries of mice treated with 4-vinylcyclohexene diepoxide.
- Authors: Craig ZR, Davis JR, Marion SL, Barton JK, Hoyer PB
- Issue date: 2010 Feb
- Two-photon excited fluorescence imaging of endogenous contrast in a mouse model of ovarian cancer.
- Authors: Watson JM, Marion SL, Rice PF, Utzinger U, Brewer MA, Hoyer PB, Barton JK
- Issue date: 2013 Mar
- Steroidogenic capacity of residual ovarian tissue in 4-vinylcyclohexene diepoxide-treated mice.
- Authors: Rivera Z, Christian PJ, Marion SL, Brooks HL, Hoyer PB
- Issue date: 2009 Feb