Abstract
An experimental computerized interactive morphometry system for the classification of lymphoid-rich effusions is presented. The relatively inexpensive microcomputer-based system was assembled in our laboratory with commercially available hardware and software. One hundred twenty-two effusions (86 benign lymphocytoses, 26 lymphomas, and 10 chronic lymphocytic leukemias) were studied. Lymphoid cells were selected randomly by the system from real-time images of Papanicolaou-fixed and stained cytospin smears of pleural, peritoneal, and pericardial effusions. Parameters of nuclear shape, area, and optical density were measured automatically. Multiparameter statistical procedures of discriminant classificatory analysis analyzed the distribution of lymphoid nuclear profile integrated optical density to yield three groups of effusions, each with a predictive value of diagnosis of 100%. Neither these statistical procedures nor a simple rule-based expert system accurately classified chronic lymphocytic leukemia effusions based on the distribution of lymphoid nuclear profile area. When chronic lymphocytic leukemia effusions were excluded, however, the predictive values of a diagnosis of lymphoma by statistical analysis and by rule-based expert system were 92.3% and 88.9%, respectively, whereas the predictive values of a diagnosis of benign lymphocytosis were 97.7% and 91.3%, respectively. Potential applications and limitations of this technology for the diagnosis of lymphoid-rich effusions are discussed.
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