Reliable and Sensitive Analysis of Occult Bone Marrow Metastases Using Automated Cellular Imaging
The presence of occult bone marrow metastases (OM) has been reported to represent an important prognostic indicator for patients with operable breast cancer and other malignancies. Assaying for OM most commonly involves labor-intensive manual microscopic analysis. The present report examines the per...
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Veröffentlicht in: | Clinical cancer research 2000-09, Vol.6 (9), p.3552-3559 |
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Zusammenfassung: | The presence of
occult bone marrow metastases (OM) has been reported to represent an
important prognostic indicator for patients with operable breast cancer
and other malignancies. Assaying for OM most commonly involves
labor-intensive manual microscopic analysis. The present report
examines the performance of a recently developed automated
cellular image analysis system (ACIS; ChromaVision Medical Systems,
Inc.) for identifying and enumerating OM in human breast cancer
specimens. OM analysis was performed after immunocytochemical staining.
Specimens used in this study consisted of normal bone marrow
( n = 10), bone marrow spiked with carcinoma cells
( n = 20), and bone marrow obtained from breast
cancer patients ( n = 39). The reproducibility of
ACIS-assisted analysis for tumor cell detection was examined by having
a pathologist evaluate montage images generated from multiple ACIS runs
of five specimens. Independent ACIS-assisted analysis resulted in the
detection of an identical number of tumor cells for each specimen in
all instrument runs. Additional studies were performed to analyze OM
from 39 breast cancer patients with two pathologists performing
parallel analysis using either manual microscopy or ACIS-assisted
analysis. In 17 of the 39 cases (44%), specimens were classified by
the pathologist as positive for tumor cells after ACIS-assisted
analysis, whereas the same pathologist failed to identify tumor cells
on the same slides after analysis by manual microscopy. These studies
indicate that the ACIS-assisted analysis provides excellent sensitivity
and reproducibility for OM detection, relative to manual microscopy.
Such performance may enable an improved approach for disease staging
and stratifying patients for therapeutic intervention. |
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ISSN: | 1078-0432 1557-3265 |