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Automated identification of leukocyte subsets improves standardization of database-guided expert-supervised diagnostic orientation in acute leukemia: a EuroFlow study
L. Lhermitte, S. Barreau, D. Morf, P. Fernandez, G. Grigore, S. Barrena, M. de Bie, J. Flores-Montero, M. Brüggemann, E. Mejstrikova, S. Nierkens, L. Burgos, J. Caetano, G. Gaipa, C. Buracchi, ES. da Costa, L. Sedek, T. Szczepański, CM. Aanei, A....
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 2000 do Před 1 rokem
ProQuest Central
od 2000-01-01 do 2022-12-31
Open Access Digital Library
od 2000-01-01
Nursing & Allied Health Database (ProQuest)
od 2000-01-01 do 2022-12-31
Health & Medicine (ProQuest)
od 2000-01-01 do 2022-12-31
ROAD: Directory of Open Access Scholarly Resources
od 1988
- MeSH
- akutní myeloidní leukemie diagnóza MeSH
- algoritmy * MeSH
- imunofenotypizace metody MeSH
- leukocyty patologie MeSH
- lidé MeSH
- průtoková cytometrie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Precise classification of acute leukemia (AL) is crucial for adequate treatment. EuroFlow has previously designed an AL orientation tube (ALOT) to guide toward the relevant classification panel and final diagnosis. In this study, we designed and validated an algorithm for automated (database-supported) gating and identification (AGI tool) of cell subsets within samples stained with ALOT. A reference database of normal peripheral blood (PB, n = 41) and bone marrow (BM; n = 45) samples analyzed with the ALOT was constructed, and served as a reference for the AGI tool to automatically identify normal cells. Populations not unequivocally identified as normal cells were labeled as checks and were classified by an expert. Additional normal BM (n = 25) and PB (n = 43) and leukemic samples (n = 109), analyzed in parallel by experts and the AGI tool, were used to evaluate the AGI tool. Analysis of normal PB and BM samples showed low percentages of checks (<3% in PB, <10% in BM), with variations between different laboratories. Manual analysis and AGI analysis of normal and leukemic samples showed high levels of correlation between cell numbers (r2 > 0.95 for all cell types in PB and r2 > 0.75 in BM) and resulted in highly concordant classification of leukemic cells by our previously published automated database-guided expert-supervised orientation tool for immunophenotypic diagnosis and classification of acute leukemia (Compass tool). Similar data were obtained using alternative, commercially available tubes, confirming the robustness of the developed tools. The AGI tool represents an innovative step in minimizing human intervention and requirements in expertise, toward a "sample-in and result-out" approach which may result in more objective and reproducible data analysis and diagnostics. The AGI tool may improve quality of immunophenotyping in individual laboratories, since high percentages of checks in normal samples are an alert on the quality of the internal procedures.
Applied Medical Research Center Pamplona Spain
Department of Hematology University of Schleswig Holstein Campus Kiel Kiel Germany
Department of Immunohematology and Blood Transfusion Leiden The Netherlands
Department of Medicine University of Salamanca Salamanca Spain
Department of Microbiology and Immunology Medical University of Silesia in Katowice Zabrze Poland
FACS Stem Cell Laboratory Kantonsspital Aarau Aarau Switzerland
Hemato Oncology Laboratory Portuguese Institute of Oncology Lisbon Portugal
Institute of Biomedical Research of Salamanca Salamanca Spain
Laboratory of Hematology University Hospital of Saint Etienne Saint Etienne France
Princess Máxima Center for Pediatric Oncology Utrecht The Netherlands
Systems and Computing Department Rio de Janeiro Brazil
Tettamanti Research Center Pediatric Clinic University of Milano Bicocca Monza MB Italy
Citace poskytuje Crossref.org
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