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Automated screening for micrometastases in bone marrow smears
J L Mansi1, W E Mesker, T McDonnell
1Ludwig Institute for Cancer Research, St George's Hospital Medical School, London, U.K.
Journal of Immunological Methods
|August 9, 1988
Summary
Automating breast cancer micrometastasis detection in bone marrow using the Leytas image analysis system significantly speeds up the process. While highly accurate for most cases, it shows slightly reduced sensitivity for rare tumor cells.
Area of Science:
- Oncology
- Pathology
- Medical Technology
Background:
- Detecting micrometastastases in primary breast cancer is crucial for clinical staging.
- Current immunocytochemical staining of bone marrow smears is labor-intensive and time-consuming due to the rarity of cancer cells.
Purpose of the Study:
- To evaluate the automation of micrometastasis detection in breast cancer using an image analysis system.
- To compare the accuracy and efficiency of automated detection versus traditional light microscopy.
Main Methods:
- Utilized the Leytas image analysis system for automated detection of micrometastastases.
- Employed a specially prepared, reproducible slide technique for consistent analysis.
- Compared automated results with light microscopy findings on bone marrow smears.
Main Results:
- Achieved 100% concordance with light microscopy for slides with moderate to high tumor cell counts and those without tumor cells.
- Demonstrated 91% sensitivity for detecting slides with low numbers of tumor cells (1-10 per 10^6 bone marrow cells).
- Observed an increase in false positives from 0% to 22% in the presence of non-specific staining.
Conclusions:
- Automated detection using the Leytas system offers a potential improvement for assessing breast cancer micrometastases.
- The automated method streamlines a critical clinical staging procedure, despite a slight decrease in sensitivity for rare cell detection.