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    Fluorescence and Multiphoton Imaging for Tissue Characterization of a Model of Postmenopausal Ovarian Cancer

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    Thumbnail
    Name:
    LSM23251.pdf
    Embargo:
    2021-04-20
    Size:
    2.259Mb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
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    Author
    Sawyer, 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
    Affiliation
    Univ Arizona, James C Wyant Coll Opt Sci
    Univ Arizona, Dept Biomed Engn
    Univ Arizona, Coll Med
    Issue Date
    2020-04-20
    Keywords
    fluorescence imaging
    Multiphoton Imaging
    Ovarian cancer
    
    Metadata
    Show full item record
    Publisher
    WILEY
    Citation
    Sawyer, 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
    Journal
    LASERS IN SURGERY AND MEDICINE
    Rights
    © 2020 Wiley Periodicals, Inc.
    Collection Information
    This 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 repository@u.library.arizona.edu.
    Abstract
    Background 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.
    Note
    12 month embargo; published online: 20 April 2020
    ISSN
    0196-8092
    EISSN
    1096-9101
    PubMed ID
    32311117
    DOI
    10.1002/lsm.23251
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1002/lsm.23251
    Scopus Count
    Collections
    UA Faculty Publications

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