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Related Experiment Videos

Acceptable "Real-Life" Variability for Lymphocyte Counts by Flow Cytometry.

Michel Ticchioni1, Chantal Brouzes2, Françoise Durrieu3

  • 1Université Nice Côte d'Azur, Centre Hospitalier Universitaire Nice, Nice, France.

Cytometry. Part B, Clinical Cytometry
|December 8, 2018
PubMed
Summary

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This study establishes desirable interlaboratory variability ranges for clinical cell counting using flow cytometry (FCM). These ranges depend on cell concentration, not cell type, improving quality assurance in diagnostic labs.

Area of Science:

  • Clinical Laboratory Science
  • Immunology
  • Flow Cytometry

Background:

  • Quality assurance in clinical cell analysis by flow cytometry (FCM) requires evaluated cell counting precision and robustness.
  • International desirable ranges for interlaboratory variability are currently lacking.
  • This study aimed to establish such reference values.

Purpose of the Study:

  • To provide desirable interlaboratory variability reference values for cell counting in clinical laboratories.
  • To assess the precision and robustness of cell counting methods used in flow cytometry.
  • To establish quality assurance benchmarks for lymphocyte subpopulation quantification.

Main Methods:

  • A prospective survey collected monthly quality assessment data from 62 French laboratories performing lymphocyte subpopulation quantification.
Keywords:
accreditationflow cytometrylaboratory diagnosticslymphocyte countproceduresquality assurance

Related Experiment Videos

  • Relative variabilities of internal quality control (IQC) materials were recorded.
  • Robust mean, standard deviation, and coefficient of variation (CV) were calculated for relative and absolute cell counts.

    • Main Results:

    • The mean CV for five repeats ranged from 1.00 ± 0.33 for T cells to 4.78 ± 1.92 for NK cells.
    • Precision correlated directly with cell concentration, not cell phenotype.
    • Negligible differences were observed between different IQC materials and counting systems.

    Conclusions:

    • Real-life cell counting variability is primarily related to cell concentration, not phenotype.
    • Desirable ranges within three standard deviations are proposed based on cell concentration levels.
    • The findings support improved quality assurance and medical decision-making in clinical flow cytometry.