Improving evaluation of the distribution and density of immunostained cells in breastcancer using computerized video image analysis

Brendon Coventry, Michael Weightman, John Skinner, John Bradley

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    Quantitation of cell density in tissues has proven problematic over the years. The manual microscopic methodology, where an investigator visually samples multiple areas within slides of tissue sections, has long remained the basic 'standard' for many studies and for routine histopathologic reporting. Nevertheless, novel techniques that may provide a more standardized approach to quantitation of cells in tissue sections have been made possible by computerized video image analysis methods over recent years. The present study describes a novel, computer-assisted video image analysis method of quantitating immunostained cells within tissue sections, providing continuous graphical data. This technique enables the measurement of both distribution and density of cells within tissue sections. Specifically, the study considered immunoperoxidase-stained tumor infiltrating lymphocytes within breast tumor specimens, using the number of immunostained pixels within tissue sections to determine cellular density and number. Comparison was made between standard manual graded quantitation methods andvideo image analysis, using the same tissue sections. The study demonstrates that video imagetechniques and computer analysis can provide continuous data on cell density and number in immunostained tissue sections, which compares favorably with standard visual quantitationmethods, and may offer an alternative.

    Original languageEnglish
    Pages (from-to)101-108
    Number of pages8
    JournalCancer Management and Research
    Volume3
    Issue number1
    DOIs
    Publication statusPublished - 2011

    Keywords

    • Breastcancer
    • Cellular quantitation
    • Immunostaining
    • Tissue sections
    • Tumor infiltrating lymphocytes
    • Video image analysis

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