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Published on: October 19, 2014
Predictive value of discriminant analysis of monocyte ultrastructure in malignant lymphoma
Abstract:
Discriminant analysis was applied to morphometric data obtained from ultrastructural studies of blood monocytes from 20 normal subjects, 23 patients with Hodgkin's disease and 12 patients with non-Hodgkin's lymphoma. The aim was to assess the efficiency of predicting subject groups from such data. The analysis, performed on a microcomputer using a standard statistical package, considered nuclear volume, nuclear surface area, nucleolar volume, nucleolar surface area, nucleolar volume fraction, number of nucleoli per section, cell surface area, mitochondrial surface area and subject age. The overall agreement between predicted and actual subject groups was 64%; considering only normality and disease, the agreement was 80%. While the predictive value of such data from circulating monocytes would appear insufficient for diagnostic purposes, discriminant analysis as used here might be of value in indicating the state of host defense in malignancy.

