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Updated: Feb 2, 2026

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
Published on: November 3, 2018
Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
Carmen Mariana Aanei1, Marie-Christine Jacob2, Richard Veyrat-Masson3
1Department of Hematology, University Hospital of Saint-Etienne; carmen.aanei@chu-st-etienne.fr.
Multiparameter flow cytometry (MFC) was standardized for myeloid disease diagnosis in France. This harmonization reduces subjectivity and aids in identifying abnormal cell phenotypes for improved diagnostic accuracy.
Area of Science:
- Hematology
- Immunophenotyping
- Clinical Diagnostics
Background:
- Multiparameter flow cytometry (MFC) is crucial for diagnosing myeloid diseases.
- Standardization of MFC protocols is needed for consistent diagnostic application.
- Existing methods exhibit variability, impacting diagnostic reliability.
Purpose of the Study:
- To harmonize MFC application for myeloid disease diagnosis in France.
- To develop a standardized protocol for bone marrow sample preparation and data acquisition.
- To establish robust analysis methods for routine diagnostic use.
Main Methods:
- A working group within the French Cytometry Association (AFC) developed a consensus protocol.
- The protocol was implemented across six French diagnostic laboratories from 2013 to 2015.
- Maturation databases for neutrophil, monocytic, and erythroid lineages were created using healthy donor samples.
Main Results:
- Standardized bone marrow sample preparation and data acquisition were achieved.
- A robust analysis method allows comparison of new cases against normal databases.
- Quantitative and qualitative phenotypic abnormalities exceeding 2SD were identified as potentially pathological.
Conclusions:
- The developed MFC protocol provides a standardized approach for myeloid disease diagnosis.
- Comparison against established databases aids in identifying pathological abnormalities.
- Establishing technical validation criteria is essential for improving MFC utility in myelodysplastic syndromes (MDS) diagnostics.
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