Keywords
Ki67, Immunohistochemistry, Breast Cancer, Digital Pathology
Methods
The techniques of nuclear classification algorithm is used to detect the nuclei in morphological form and size and classify them as positive or negative according to pixel colorization and intensity. Also, tile extraction, color deconvolution, morphological filters, threshold value method,and cell segmentation algorithms are used to develop Ki67 analysis.
The analysis algorithm contain H-DAB colour deconvolution method. To detect negative nuclei H channel, and to detect and classify brown nuclei DAB channel are used. The positive nuclei are classified into three groups according to given threshold values by the user before running the analysis.
Workflows
Step 1: View a Ki-67 stained whole slide images at ViraPath.
Step 2: Outline tumor either manually or automatically using Virapath Tissue Segmentation algorithm.
Step 3: Select the Ki67 analysis and calibrate the parameters.
Step 4: Run the analysis.
References
[1] Beresford MJ, Wilson GD, Makris A. Measuring proliferation in breast cancer: practicalities and applications. Breast Cancer Res 2006; 8: 216.
[2] Yerushalmi, R., Woods, R., Ravdin, P. M., Hayes, M. M., & Gelmon, K. A. (2010). Ki67 in breast cancer: prognostic and predictive potential. The Lancet Oncology, 11(2), 174–183.