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Computerized image analysis of Ki-67 in ductal breast carcinoma in situ
D G Menter1, A Hoque, N Motiwala
1Departments of Clinical Cancer Prevention and Pathology, University of Texas M. D. Anderson Cancer Center, Houston, Texas, USA.
Insights
Developing effective Ki-67 staining protocols and image analysis methods is crucial for accurate cancer assessment. The study found DAB staining with optical filters and computer analysis offers reproducible Ki-67 quantification.
Area of Science:
- Biomedical Imaging
- Computational Pathology
- Cancer Biomarkers
Background:
- Quantitative Ki-67 analysis is vital for cancer diagnosis and prognosis.
- Standardized staining and image analysis protocols are needed for reliable Ki-67 assessment.
- Current methods may suffer from variability and lack digital standardization.
Purpose of the Study:
- To establish optimal staining protocols and computerized image analysis for quantitative Ki-67 assessment.
- To compare different immunodetection and optical enhancement methods for Ki-67 analysis.
- To validate a robust method for Ki-67 quantification in ductal carcinoma in situ (DCIS).
Main Methods:
- Comparison of bright-field microscopy, refractive optical enhancement, immunogold, and enzymatic conversion with optical filters.
- Application of methods to lymph node tissues, breast cells, and 200 DCIS samples.
- Digital acquisition of DCIS, manual region of interest selection, and segmentation analysis for Ki-67 quantification.
Main Results:
- Immunogold with epipolarization was sensitive but had high nonspecific binding.
- Streptavidin-horseradish-peroxidase enzymatic conversion with 3,3'-diaminobenzidine (DAB) and optical filters proved most effective.
- Ki-67 staining intensity varied, being most intense in paired nuclei and associated with nucleoli.
Conclusions:
- DAB staining combined with optical enhancement filters and computer-assisted image analysis yields objective and reproducible Ki-67 results.
- This method reduces intra- and interobserver variability.
- It provides a digital archival record and a baseline for data exchange.
Objective:
To develop and determine the staining protocols and computerized image analysis methods that are the most effective combination for performing quantitative analysis of Ki-67.
Study Design:
We compared conventional bright-field light microscopy and refractive optical enhancement methods in combination with various immunodetection and filter enhancement methods, including immunogold in combination with epipolarization refractive optics and enzymatic conversion of chromogenic substrates in combination with optical filter enhancement. Initial Ki-67 tests were performed on lymph node tissues and cultured human breast cells and then applied to 200 ductal carcinoma in situ (DCIS) samples. DCIS acini were digitally acquired, and a region of interest was manually outlined in each one with a digital stylus to include only the cellular component; then the Ki-67 staining index was quantified by segmentation analysis.
Results:
Although combining epipolarization analysis with immunohistogold staining was the most sensitive detection method, nonspecific binding was too high. The streptavidin-horseradish-peroxidase enzymatic conversion of 3,3'-diaminobenzidine (DAB) in combination with optical enhancement filters was the most effective method tested. Ki-67 stain was associated with dense fibrillar structures of the nucleoli in the less intensely staining nuclei and was most intense in paired nuclei.
Conclusion:
The method of measuring Ki-67 expression by DAB staining combined with optical enhancement filters and quantification via computer-assisted image analysis techniques produced objective and reproducible results. As such, this method can offer (1) less intraobserver and interobserver variability, (2) a digital archival record, and (3) a baseline for digital exchange of information between studies.
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