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Related Experiment Video

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Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells
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Neoteric Algorithm Using Cell Population Data (VCS Parameters) as a Rapid Screening Tool for Haematological

Angeli Ambayya1,2, Jameela Sathar1, Rosline Hassan2

  • 1Clinical Haematology Referral Laboratory, Haematology Department, Hospital Ampang, Selangor 68000, Malaysia.

Diagnostics (Basel, Switzerland)
|September 28, 2021
PubMed
Summary
This summary is machine-generated.

Cell population data (CPD) parameters can effectively screen for neoplastic versus non-neoplastic hematological disorders. A novel algorithm using CPD aids in differentiating leukemia subtypes and reactive cases.

Keywords:
VCS parametersalgorithmcell population dataneoplastic

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Area of Science:

  • Hematology
  • Computational Biology
  • Diagnostic Pathology

Background:

  • Comprehensive studies on cell population data (CPD) for distinguishing neoplastic and non-neoplastic hematological disorders are lacking.
  • Accurate preliminary screening of leukocyte morphology is crucial for timely diagnosis.

Purpose of the Study:

  • To develop and validate an algorithm using CPD parameters for robust screening of neoplastic from non-neoplastic hematological samples.
  • To differentiate various subtypes of leukemia using specific CPD parameters.

Main Methods:

  • Comparison of CPD parameters from 245 leukemia and lymphoma subtypes against 1103 non-neoplastic cases.
  • Development of a novel algorithm: [(SD-V-NE*MN-UMALS-LY*SD-AL2-MO)/MN-C-NE] for neoplastic vs. non-neoplastic discrimination.
  • Validation of the algorithm and a single parameter (MN-AL2-NE) in prospective studies.

Main Results:

  • A novel algorithm was devised to distinguish neoplastic from non-neoplastic cases.
  • The parameter MN-AL2-NE effectively ruled out reactive cases from neoplastic ones.
  • Specific CPD parameters were identified for delineating subtypes: AML, APL, ALL, and CLL.

Conclusions:

  • CPD parameters offer a valuable tool for initial screening and flagging in the preliminary evaluation of leukocyte morphology.
  • The developed algorithm and parameters demonstrate potential for improving the diagnostic workflow in hematological disorders.