AI Article Synopsis

  • The study explores the efficacy of the Ki67 proliferation marker in breast cancer treatment, highlighting issues with current scoring methods due to variability and time constraints.
  • Researchers used digital image analysis to quantify Ki67 indices in 280 breast cancer specimens as a potential solution for standardization and improved workflow.
  • The results showed strong agreement between digital analysis and manual counts, achieving an intraclass correlation coefficient of 0.96, indicating that digital image analysis could enhance Ki67 scoring accuracy.

Article Abstract

The clinical utility of the proliferation marker Ki67 in breast cancer treatment and prognosis is an active area of research. Studies have suggested that differences in pre-analytic and analytic factors contribute to low analytical validity of the assay, with scoring methods accounting for a large proportion of this variability. Use of standard scoring methods is limited, in part due to the time intensive nature of such reporting protocols. Therefore, use of digital image analysis tools may help to both standardize reporting and improve workflow. In this study, digital image analysis was utilized to quantify Ki67 indices in 280 breast biopsy and resection specimens during routine clinical practice. The supervised Ki67 indices were then assessed for agreement with a manual count of 500 tumor cells. Agreement was excellent, with an intraclass correlation coefficient of 0.96 for the pathologist-supervised analysis. This study illustrates an example of a rapid, accurate workflow for implementation of digital image analysis in Ki67 scoring in breast cancer.

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Source
http://dx.doi.org/10.1097/PAI.0000000000001171DOI Listing

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