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Multiparameter flow cytometry in the evaluation of myelodysplasia : Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group
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- Porwit, Anna (author)
- Lund University,Lunds universitet,Patologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Pathology, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Béné, Marie C. (author)
- Nantes University Hospital
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- Duetz, Carolien (author)
- Amsterdam UMC - Vrije Universiteit Amsterdam
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- Matarraz, Sergio (author)
- University of Salamanca
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- Oelschlaegel, Uta (author)
- University Clinic Carl Gustav Carus at the TU Dresden
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- Westers, Theresia M. (author)
- Amsterdam UMC - Vrije Universiteit Amsterdam
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- Wagner-Ballon, Orianne (author)
- University Paris-Est Créteil,Henri Mondor Hospital
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- Kordasti, Shahram (author)
- King's College London
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- Valent, Peter (author)
- Medical University of Vienna
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- Preijers, Frank (author)
- Radboud University Medical Center
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- Alhan, Canan (author)
- Amsterdam UMC - Vrije Universiteit Amsterdam
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- Bellos, Frauke (author)
- Munich Leukemia Laboratory (MLL)
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- Bettelheim, Peter (author)
- Elisabethinen Hospital Linz
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- Burbury, Kate (author)
- University of Melbourne
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- Chapuis, Nicolas (author)
- Assistance Publique des Hôpitaux de Paris,Institut Cochin
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- Cremers, Eline (author)
- Maastricht University Medical Centre
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- Della Porta, Matteo G. (author)
- Humanitas Research Hospital,Humanitas University
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- Dunlop, Alan (author)
- Royal Marsden Hospital, London
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- Eidenschink-Brodersen, Lisa (author)
- Hematologics Inc.
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- Font, Patricia (author)
- Hospital Gregorio Maranon
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- Fontenay, Michaela (author)
- Assistance Publique des Hôpitaux de Paris,Institut Cochin
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- Hobo, Willemijn (author)
- Medical University of Vienna
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- Ireland, Robin (author)
- King's College Hospital
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- Johansson, Ulrika (author)
- University Hospitals Bristol NHS Foundation Trust
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- Loken, Michael R. (author)
- Hematologics Inc.
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- Ogata, Kiyoyuki (author)
- Metropolitan Research Center for Blood Disorders MRC JAPAN
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- Orfao, Alberto (author)
- University of Salamanca
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- Psarra, Katherina (author)
- Evangelismos Athens General Hospital
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- Saft, Leonie (author)
- Karolinska Institutet
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- Subira, Dolores (author)
- Hospital Universitario de Guadalajara
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- te Marvelde, Jeroen (author)
- Erasmus University Medical Center
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- Wells, Denise A. (author)
- Hematologics Inc.
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- van der Velden, Vincent H.J. (author)
- Erasmus University Medical Center
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- Kern, Wolfgang (author)
- Munich Leukemia Laboratory (MLL)
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- van de Loosdrecht, Arjan A. (author)
- Amsterdam UMC - Vrije Universiteit Amsterdam
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(creator_code:org_t)
- 2022-12-20
- 2023
- English.
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In: Cytometry Part B - Clinical Cytometry. - : Wiley. - 1552-4949 .- 1552-4957. ; 104:1, s. 27-50
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Abstract
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- Multiparameter flow cytometry (MFC) is one of the essential ancillary methods in bone marrow (BM) investigation of patients with cytopenia and suspected myelodysplastic syndrome (MDS). MFC can also be applied in the follow-up of MDS patients undergoing treatment. This document summarizes recommendations from the International/European Leukemia Net Working Group for Flow Cytometry in Myelodysplastic Syndromes (ELN iMDS Flow) on the analytical issues in MFC for the diagnostic work-up of MDS. Recommendations for the analysis of several BM cell subsets such as myeloid precursors, maturing granulocytic and monocytic components and erythropoiesis are given. A core set of 17 markers identified as independently related to a cytomorphologic diagnosis of myelodysplasia is suggested as mandatory for MFC evaluation of BM in a patient with cytopenia. A myeloid precursor cell (CD34+CD19−) count >3% should be considered immunophenotypically indicative of myelodysplasia. However, MFC results should always be evaluated as part of an integrated hematopathology work-up. Looking forward, several machine-learning-based analytical tools of interest should be applied in parallel to conventional analytical methods to investigate their usefulness in integrated diagnostics, risk stratification, and potentially even in the evaluation of response to therapy, based on MFC data. In addition, compiling large uniform datasets is desirable, as most of the machine-learning-based methods tend to perform better with larger numbers of investigated samples, especially in such a heterogeneous disease as MDS.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Hematologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Hematology (hsv//eng)
Keyword
- consensus
- ELN
- flow cytometry
- myelodysplastic syndromes
- standardization
Publication and Content Type
- for (subject category)
- ref (subject category)
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- By the author/editor
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Porwit, Anna
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Béné, Marie C.
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Duetz, Carolien
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Matarraz, Sergio
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Oelschlaegel, Ut ...
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Westers, Theresi ...
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show more...
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Wagner-Ballon, O ...
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Kordasti, Shahra ...
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Valent, Peter
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Preijers, Frank
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Alhan, Canan
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Bellos, Frauke
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Bettelheim, Pete ...
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Burbury, Kate
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Chapuis, Nicolas
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Cremers, Eline
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Della Porta, Mat ...
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Dunlop, Alan
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Eidenschink-Brod ...
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Font, Patricia
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Fontenay, Michae ...
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Hobo, Willemijn
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Ireland, Robin
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Johansson, Ulrik ...
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Loken, Michael R ...
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Ogata, Kiyoyuki
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Orfao, Alberto
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Psarra, Katherin ...
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Saft, Leonie
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Subira, Dolores
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te Marvelde, Jer ...
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Wells, Denise A.
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van der Velden, ...
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Kern, Wolfgang
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van de Loosdrech ...
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Hematology
- Articles in the publication
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Cytometry Part B ...
- By the university
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Lund University
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Karolinska Institutet