Automated identification of leukocyte subsets improves standardization of database-guided expert-supervised diagnostic orientation in acute leukemia: a EuroFlow study
| العنوان: | Automated identification of leukocyte subsets improves standardization of database-guided expert-supervised diagnostic orientation in acute leukemia: a EuroFlow study |
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| المؤلفون: | Ludovic Lhermitte, Sylvain Barreau, Daniela Morf, Paula Fernandez, Georgiana Grigore, Susana Barrena, Maaike de Bie, Juan Flores-Montero, Monika Brüggemann, Ester Mejstrikova, Stefan Nierkens, Leire Burgos, Joana Caetano, Giuseppe Gaipa, Chiara Buracchi, Elaine Sobral da Costa, Lukasz Sedek, Tomasz Szczepański, Carmen-Mariana Aanei, Alita van der Sluijs-Gelling, Alejandro Hernández Delgado, Rafael Fluxa, Quentin Lecrevisse, Carlos E. Pedreira, Jacques J.M. van Dongen, Alberto Orfao, Vincent H.J. van der Velden, J. J.M. van Dongen, W.M. Bitter, B.R. Lubbers, C.I. Teodosio, M. Zlei, A.J. van der Sluijs-Gelling, F. de Bie, S. de Bruin-Versteeg, M. van der Burg, M.W. Schilham, V. H.J. van der Velden, A.W. Langerak, J. te Marvelde, A.E. Bras, J. Schilperoord-Vermeulen, R. Jugooa, K.C. Heezen, A. Orfao, J. Almeida, M.B. Vidriales, J. Flores-Montero, M. Pérez-Andrés, S. Matarraz, L. Martín, Q. Lecrevisse, J.J. Pérez-Morán, N. Puig, A. Medina Almeida, M. Gomes da Silva, T. Faria, M. Brüggemann, M. Ritgen, M. Szczepanowski, S. Kohlscheen, A. Laqua, E. Harbst, J. Finke, V. Asnafi, L. Lhermitte, E. Duroyon, J. Trka, O. Hrusak, T. Kalina, E. Mejstrikova, M. Novakova, D. Thurner, V. Kanderova, T. Szczepanski, L. Sędek, J. Bulsa, L. Slota, J. Kulis, C.E. Pedreira, E. Sobral da Costa, S. Nierkens, A. de Jong, A. de Koning, M. Lima, A.H. Santos, S. Böttcher, S. Lange, R. Engelmann, D. Paape, C. Machka, G. Gaipa, C. Burracchi, C. Bugarin, E. Lopez-Granados, L. del Pino Molina, L. Campos-Guyotat, C. Aanei, J. F. San Miguel, B. Paiva, L. Burgos, N. Villamor-Casas, L. Magnano, J. Philippé, C. Bonroy, B. Denys, A. Willems, P. Breughe, J. de Wolf, A.E. Sousa, S.L. Silva, P. Fernandez, D. Morf |
| المساهمون: | European Commission, Instituto de Salud Carlos III, Ministerio de Economía y Competitividad (España), Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), Silesian University of Technology, Lhermitte, L, Barreau, S, Morf, D, Fernandez, P, Grigore, G, Barrena, S, de Bie, M, Flores-Montero, J, Bruggemann, M, Mejstrikova, E, Nierkens, S, Burgos, L, Caetano, J, Gaipa, G, Buracchi, C, da Costa, E, Sedek, L, Szczepanski, T, Aanei, C, van der Sluijs-Gelling, A, Delgado, A, Fluxa, R, Lecrevisse, Q, Pedreira, C, van Dongen, J, Orfao, A, van der Velden, V, Bitter, W, Lubbers, B, Teodosio, C, Zlei, M, de Bie, F, de Bruin-Versteeg, S, van der Burg, M, Schilham, M, Langerak, A, te Marvelde, J, Bras, A, Schilperoord-Vermeulen, J, Jugooa, R, Heezen, K, Almeida, J, Vidriales, M, Perez-Andres, M, Matarraz, S, Martin, L, Perez-Moran, J, Puig, N, Almeida, A, Gomes da Silva, M, Faria, T, Ritgen, M, Szczepanowski, M, Kohlscheen, S, Laqua, A, Harbst, E, Finke, J, Asnafi, V, Duroyon, E, Trka, J, Hrusak, O, Kalina, T, Novakova, M, Thurner, D, Kanderova, V, Bulsa, J, Slota, L, Kulis, J, de Jong, A, de Koning, A, Lima, M, Santos, A, Bottcher, S, Lange, S, Engelmann, R, Paape, D, Machka, C, Burracchi, C, Bugarin, C, Lopez-Granados, E, del Pino Molina, L, Campos-Guyotat, L, Miguel, J, Paiva, B, Villamor-Casas, N, Magnano, L, Philippe, J, Bonroy, C, Denys, B, Willems, A, Breughe, P, de Wolf, J, Sousa, A, Silva, S, Immunology |
| المصدر: | Dadun. Depósito Académico Digital de la Universidad de Navarra instname Digital.CSIC. Repositorio Institucional del CSIC Modern Pathology, 34(1), 59-69. Nature Publishing Group Modern Pathology, 34, 59-69. SPRINGERNATURE Modern Pathology |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | 0301 basic medicine, Pathology, medicine.medical_specialty, Standardization, Computer science, Leukaemia, Laboratory techniques and procedures, Article, Immunophenotyping, Pathology and Forensic Medicine, 03 medical and health sciences, 0302 clinical medicine, EuroFlow, Leukocytes, medicine, Humans, Leukaemia, Flow cytometry, Future, Acute leukemia, Orientation (computer vision), business.industry, Laboratory techniques and procedures, Pattern recognition, Flow Cytometry, Peripheral blood, Leukemia, Myeloid, Acute, Identification (information), 030104 developmental biology, Área de Biomedicina, T cell subset, Artificial intelligence, business, Algorithms, 030215 immunology |
| الوصف: | © The Author(s) 2020. 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 ( 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. The EuroFlow Consortium received support from the FP6- 2004-LIFESCIHEALTH-5 program of the European Commission (grant LSHB-CT-2006-018708) as Specific Targeted Research Project (STREP). The Prague team received support from the grant number NV18-03-00343. The Salamanca team received support from the Instituto de Salud Carlos III (ISCIII) (PI16/00787-FEDER) and from Agencia Estatal de Investigación (RTC-2016-4865-1-FEDER), Ministerio de Economía y Competitividad, Madrid, Spain. AHD is supported from the program DI-17-09591 from Agencia Estatal de Investigación, Ministerio de Ciencia, Innovación y Universidades, Madrid, Spain. SB is supported from the program PTQ16-08364 from Agencia Estatal de Investigación, Ministerio de Ciencia, Innovación y Universidades, Madrid, Spain. Medical University of Silesia in Katowice team was supported by the Strategmed III PersonALL grant [No. 304586/5/NCBR/2017] from the Polish National Center of Research and Development. The EuroFlow Consortium is part of the European Scientific Foundation for Hemato-Oncology (ESLHO), a Scientific Working Group (SWG) of the European Hematology Association (EHA). |
| وصف الملف: | application/pdf; STAMPA |
| اللغة: | English |
| تدمد: | 0893-3952 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e476cc3085c1ececb0b52a8ebe20f35dTest https://hdl.handle.net/10171/62930Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....e476cc3085c1ececb0b52a8ebe20f35d |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 08933952 |
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