@article{34b33ca9441240bc9f1a524475a2be93,
title = "Quantification of multiphoton and fluorescence images of reproductive tissues from a mouse ovarian cancer model shows promise for early disease detection",
abstract = "Ovarian cancer is the deadliest gynecologic cancer due predominantly to late diagnosis. Early detection of ovarian cancer can increase 5-year survival rates from 40% up to 92%, yet no reliable early detection techniques exist. Multiphoton microscopy (MPM) is a relatively new imaging technique sensitive to endogenous fluorophores, which has tremendous potential for clinical diagnosis, though it is limited in its application to the ovaries. Wide-field fluorescence imaging (WFI) has been proposed as a complementary technique to MPM, as it offers high-resolution imagery of the entire organ and can be tailored to target specific biomarkers that are not captured by MPM imaging. We applied texture analysis to MPM images of a mouse model of ovarian cancer. We also conducted WFI targeting the folate receptor and matrix metalloproteinases. We find that texture analysis of MPM images of the ovary can differentiate between genotypes, which is a proxy for disease, with high statistical significance (p < 0.001). The wide-field fluorescence signal also changes significantly between genotypes (p < 0.01). We use the features to classify multiple tissue groups to over 80% accuracy. These results suggest that MPM and WFI are promising techniques for the early detection of ovarian cancer.",
keywords = "fluorescence imaging, mouse model, multiphoton imaging, ovarian cancer",
author = "Sawyer, {Travis W.} and Koevary, {Jennifer W.} and Rice, {Faith P.S.} and Howard, {Caitlin C.} and Austin, {Olivia J.} and Connolly, {Denise C.} and Cai, {Kathy Q.} and Barton, {Jennifer K.}",
note = "Funding Information: This work was supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE-1143953, the National Institutes of Health under National Cancer Institute (Grant No. 1R01CA195723), and the shared resources of the University of Arizona Cancer Center (Grant No. 3P30CA023074). We also would like to acknowledge the support of the Theresa F. Jennings Memorial Scholarship. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the National Science Foundation. This work performed at Fox Chase Cancer Center (FCCC) in Dr. Connolly's Laboratory was additionally supported by the FCCC Core (Grant No. NCI P30 CA006927) and the FCCC Biosample Repository Facility and Histopathology Facility. Some results presented in this paper have been previously published in the proceedings of the SPIE conference, {"}Diseases in the Breast and Reproductive System V,{"} edited by M.C. Skala, P.J. Campangola, and D.M. Roblyer.58 We gratefully acknowledge the technical support of Ms. Chao Wu of the Fox Chase Cancer Center Biosample Repository Facility for assistance with the Vectra Multispectral Imaging Analysis. Funding Information: This work was supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE-1143953, the National Institutes of Health under National Cancer Institute (Grant No. 1R01CA195723), and the shared resources of the University of Arizona Cancer Center (Grant No. 3P30CA023074). We also would like to acknowledge the support of the Theresa F. Jennings Memorial Scholarship. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the National Science Foundation. This work performed at Fox Chase Cancer Center (FCCC) in Dr. Connolly{\textquoteright}s Laboratory was additionally supported by the FCCC Core (Grant No. NCI P30 CA006927) and the FCCC Biosample Repository Facility and Histopathology Facility. Some results presented in this paper have been previously published in the proceedings of the SPIE conference, “Diseases in the Breast and Reproductive System V,” edited by M.C. Skala, P.J. Campangola, and D.M. Roblyer.58 We gratefully acknowledge the technical support of Ms. Chao Wu of the Fox Chase Cancer Center Biosample Repository Facility for assistance with the Vectra Multispectral Imaging Analysis. Publisher Copyright: {\textcopyright} 2019 The Authors.",
year = "2019",
month = sep,
day = "1",
doi = "10.1117/1.JBO.24.9.096010",
language = "English (US)",
volume = "24",
journal = "Journal of biomedical optics",
issn = "1083-3668",
publisher = "SPIE",
number = "9",
}