M. Petrovecki et al., ANALYSIS OF DATA ON LEUKOCYTE SURFACE-MARKERS FOR RECOGNITION OF LEUKEMIA LYMPHOMA PHENOTYPE PATTERN/, Clinical biochemistry, 29(1), 1996, pp. 21-25
Objective: This study was designed to test the algorithm for the recog
nition of leukemia/lymphoma pattern, based on cell immunophenotype ass
essed using specific monoclonal antibodies and measured using flow cyt
ometry. Design and Method: Analysis was performed by comparing phenoty
ping data with reference data, followed by scoring of such comparisons
. Output of the recognition was designed as a report list of possible
diagnoses (defined as objects in the informatic system). Reference dat
a were compiled from the respective literature. Results: From 57 blood
and bone marrow samples tested in this study, accurate recognition of
the real diagnosis (object) appeared on the first four places of the
report list in 54 (94.7%) samples. Conclusion: The list of the objects
recognized by the use of algorithm appeared to be helpful in making a
differential diagnosis, occasionally pointing to the states that the
physician had not in mind at the start of the analysis.