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J Biomed Opt. 2012 Jul;17(7):076002. doi: 10.1117/1.JBO.17.7.076002.

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

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1
University of Arizona, Biomedical Engineering, 1657 E. Helen Street, Building 240, P.O. Box 210240, Tucson, Arizona 85721, USA.

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.

PMID:
22894485
PMCID:
PMC3389559
DOI:
10.1117/1.JBO.17.7.076002
[Indexed for MEDLINE]
Free PMC Article
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