Diagnostic tools for differentiating pleural mesothelioma from lung adenocarcinoma in paraffin embedded tissue

1432-2307

Malignant mesothelioma ; Lung adenocarcinoma ; Immunohistochemistry ; Expert system ; Discriminant analysis

Springer Online Journal Archives 1860-2000

Medicine

Abstract A panel of 14 antibodies (panepithelial antibody Lu-5, anti-keratin-18, anti-keratin-7, Ber-EP4, anti-Leu-M1, HEA-125, anti-carcinoembryonic antigen, anti-blood group-related antigens A, B, H, B72.3, antiplacental alkaline phosphatase, anti-vimentin and BMA-120), which have been evaluated for use in differentiating mesothelioma from lung adenocarcinoma, was applied to a group of 24 suspected mesotheliomas. Using the established qualitative, descriptive criteria derived from monovariate statistical analysis of the tumour control groups (definite mesotheliomas, adenocarcinomas), a definitive allocation was possible in only 25% of suspected cases. We therefore constructed two “expert systems”, based on multivariate discriminant analysis with either the ALLOC 80 program for ordinal data or a newly developed analysis program for binomial data. With these two systems diagnostic allocation of suspected mesotheliomas was improved to 75% and 79%. The use of binomial data (“positive” versus “negative”) in conjunction with the probability-based test system is of particular interest because the primary data are easy to record and the test results have a higher statistical probability.

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