The region-of-interest size impacts on Ki67 quantification by computer-assisted image analysis in breast cancer.

@article{Christgen2015TheRS,
  title={The region-of-interest size impacts on Ki67 quantification by computer-assisted image analysis in breast cancer.},
  author={M. Christgen and Sabrina von Ahsen and Henriette Christgen and F. L{\"a}nger and H. Kreipe},
  journal={Human pathology},
  year={2015},
  volume={46 9},
  pages={
          1341-9
        }
}
Therapeutic decision-making in breast cancer depends on histopathologic biomarkers and is influenced by the Ki67 proliferation index. Computer-assisted image analysis (CAIA) promises to improve Ki67 quantification. Several commercial applications have been developed for semiautomated CAIA-based Ki67 quantification, many of which rely on measurements in user-defined regions of interest (ROIs). Because of intratumoral proliferative heterogeneity, definition of the ROI is an important step in the… Expand
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