Objective: To examine the utility of karyometric measurements in the differentiation of mesothelioma from metastatic serous ovarian adenocarcinoma.
Study Design: High-resolution images of 1,631 nuclei from 32 cases of mesothelioma and 742 nuclei from 15 cases of ovarian adenocarcinoma were recorded. A stepwise discriminant analysis and nonparametric classifier were applied.
Results: Nuclei from these two diagnostic categories appear very similar and occupy feature space with significant overlap. A nonparametric classification procedure provided acceptable correct classification.
Conclusion: For certain regions in feature space, cases could be unequivocally classified.
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