A Relational Database for Diagnosis of Hematopoietic Neoplasms Using Immunophenotyping by Flow Cytometry
INTRODUCTION
Basic Components of Flow Cytometry
Light Scattering
Scattergram, peripheral blood
Scattergram, lymph node
Antigen Detection
Wavelength of Fluorochromes
Chronic Lymphocytic Leukemia
A Case Illustration
Peripheral Blood Smear
Bone Marrow Aspirate
Flow Cytometry Results
Immunophenotyping by Flow Cytometry
Goal of this Study
Relational Database
A Simplified Example of Database
Database as a Decision-Support System
MATERIALS AND METHODS
Relational Database CD-Marker
Ranking Mechanism: Matching Factor (MF)
Illustration for Calculation of MF
Outline of the Demonstration Case
Methods for Validating Database CD-Marker
Methods for Validating (cont’d)
Results of Validation
Cases not successfully ranked
Cases not successfully ranked (cont’d)
Validation Results (after revision)
DISCUSSION: Previous Work by Others
Previous Work by Others (cont’d)
Unique Features in Design of CD-Marker
WEB MARKER
Constraints in using CD-Marker
Conclusion
Self-Learning Mechanism
Email: nguyen@casper.med.uth.tmc.edu
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