Analysis of second-harmonic-generation microscopy in a mouse model of ovarian carcinoma

Jennifer M. Watson, Photini F. Rice, Samuel L. Marion, Molly A. Brewer, John R. Davis, Jeffrey J. Rodriguez, Urs Utzinger, Patricia B. Hoyer, Jennifer K. Bartona

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


Second-harmonic-generation (SHG) imaging of mouse ovaries ex vivo was used to detect collagen structure changes accompanying ovarian cancer development. Dosing with 4-vinylcyclohexene diepoxide and 7,12-dimethylbenz[a]anthracene resulted in histologically confirmed cases of normal, benign abnormality, dysplasia, and carcinoma. Parameters for each SHG image were calculated using the Fourier transform matrix and gray-level co-occurrence matrix (GLCM). Cancer versus normal and cancer versus all other diagnoses showed the greatest separation using the parameters derived from power in the highest-frequency region and GLCM energy. Mixed effects models showed that these parameters were significantly different between cancer and normal (P > 0.008). Images were classified with a support vector machine, using 25% of the data for training and 75% for testing. Utilizing all images with signal greater than the noise level, cancer versus not-cancer specimens were classified with 81.2% sensitivity and 80.0% specificity, and cancer versus normal specimens were classified with 77.8% sensitivity and 79.3% specificity. Utilizing only images with greater than of 75% of the field of view containing signal improved sensitivity and specificity for cancer versus normal to 81.5% and 81.1%. These results suggest that using SHG to visualize collagen structure in ovaries could help with early cancer detection.

Original languageEnglish (US)
Article number076002
JournalJournal of biomedical optics
Issue number7
StatePublished - Jul 2012


  • 712-dimethylbenz[a] anthracene
  • Collagen
  • Imaging
  • Multiphoton
  • Ovarian cancer
  • Two-photon

ASJC Scopus subject areas

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


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