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

Abstract

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.

• Authors: 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 Barton
• Journal: Journal of biomedical optics (J Biomed Opt) Vol. 17 Issue 7 Pg. 076002 (Jul 2012) ISSN: 1560-2281 [Electronic] United States
• PMID: 22894485 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)

Topics

• Algorithms
• Animals
• Female
• Image Enhancement (methods)
• Image Interpretation, Computer-Assisted (methods)
• Mice
• Microscopy, Fluorescence, Multiphoton (methods)
• Ovarian Neoplasms (pathology)
• Reproducibility of Results
• Sensitivity and Specificity