| Literature DB >> 32999413 |
Sylvain Barreau1, Daniela Morf2, Ludovic Lhermitte1, Paula Fernandez2, Georgiana Grigore3, Susana Barrena3,4,5,6,7, Maaike de Bie8, Juan Flores-Montero4,5,6,7, Monika Brüggemann9, Ester Mejstrikova10, Stefan Nierkens11, Leire Burgos12, Joana Caetano13, Giuseppe Gaipa14, Chiara Buracchi14, Elaine Sobral da Costa15, Lukasz Sedek16, Tomasz Szczepański17, Carmen-Mariana Aanei18, Alita van der Sluijs-Gelling19, Alejandro Hernández Delgado3,4,5,6,7, Rafael Fluxa3, Quentin Lecrevisse4,5,6,7, Carlos E Pedreira20, Jacques J M van Dongen19, Alberto Orfao4,5,6,7, Vincent H J van der Velden21.
Abstract
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.Entities:
Year: 2020 PMID： 32999413 PMCID： PMC7806506 DOI： 10.1038/s41379-020-00677-7
Source DB: PubMed Journal: Mod Pathol ISSN： 0893-3952 Impact factor: 7.842