Multiparameter breast cancer cell image analysis for objective estimation of nuclear grade: comparison with light microscopic observational data

Juris Berzins; Uldis Sneiders; Daina Plegere; Talivaldis Freivalds; Romalda Grigalinovica

doi:10.1117/12.384207

27 April 2000 Multiparameter breast cancer cell image analysis for objective estimation of nuclear grade: comparison with light microscopic observational data

Juris Berzins, Uldis Sneiders, Daina Plegere, Talivaldis Freivalds, Romalda Grigalinovica

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Proceedings Volume 3921, Optical Diagnostics of Living Cells III; (2000) https://doi.org/10.1117/12.384207
Event: BiOS 2000 The International Symposium on Biomedical Optics, 2000, San Jose, CA, United States

Abstract

We performed a multi parameter image analysis assessment of breast cancer cell population nuclear grade (NG), which is regarded as one of the main prognostic factors for treatment efficacy and survival of the patients and compared it with light microscopic estimation of NG. Cytological imprint slides from 20 ductal carcinomas were stained according to Leischmann-AzureII-eosine method, and NG was estimated by light microscopic observation according to Black in Fisher's modification. Simultaneously, using specially elaborated software, in each patient 100 cancer cells were analyzed for nuclear perimeter, diameter, area, nucleolar area, and average intensity of staining. The chromatin structure was assessed using mean diameter of chromatin grains and relatively chromatic are within the nucleus. Light microscopic estimation revealed 4/15 grade 2 and 7/15 grade 3 tumors out of 15 filtrating ductal carcinomas, with 4/15 classified as intermediate between grade 2-3. Multifactoral linear correlation coefficient r equals 0.39, p < 0.001 for ductal cancer, higher NG comes with increasing nucleolar area, nuclear roundness factor, nuclear are, and chromatin area within the cell nucleus. Image analysis may yield precise information on NG as a prognostic factor in breast cancer patients.

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Juris Berzins, Uldis Sneiders, Daina Plegere, Talivaldis Freivalds, and Romalda Grigalinovica "Multiparameter breast cancer cell image analysis for objective estimation of nuclear grade: comparison with light microscopic observational data", Proc. SPIE 3921, Optical Diagnostics of Living Cells III, (27 April 2000); https://doi.org/10.1117/12.384207

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KEYWORDS

Image analysis

Breast cancer

Cancer

Tumors

Fine needle aspiration

Biological research

Breast

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