Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group. Issue 1 (20th December 2022)
- Record Type:
- Journal Article
- Title:
- Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group. Issue 1 (20th December 2022)
- Main Title:
- Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues
- Authors:
- Porwit, Anna
Béné, Marie C.
Duetz, Carolien
Matarraz, Sergio
Oelschlaegel, Uta
Westers, Theresia M.
Wagner‐Ballon, Orianne
Kordasti, Shahram
Valent, Peter
Preijers, Frank
Alhan, Canan
Bellos, Frauke
Bettelheim, Peter
Burbury, Kate
Chapuis, Nicolas
Cremers, Eline
Della Porta, Matteo G.
Dunlop, Alan
Eidenschink‐Brodersen, Lisa
Font, Patricia
Fontenay, Michaela
Hobo, Willemijn
Ireland, Robin
Johansson, Ulrika
Loken, Michael R.
Ogata, Kiyoyuki
Orfao, Alberto
Psarra, Katherina
Saft, Leonie
Subira, Dolores
te Marvelde, Jeroen
Wells, Denise A.
van der Velden, Vincent H. J.
Kern, Wolfgang
van de Loosdrecht, Arjan A.
… (more) - Other Names:
- Kern Wolfgang guestEditor.
van de Loosdrecht Arjan guestEditor. - Abstract:
- Abstract: 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 i MDS 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 tendAbstract: 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 i MDS 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. … (more)
- Is Part Of:
- Cytometry. Volume 104:Issue 1(2023)
- Journal:
- Cytometry
- Issue:
- Volume 104:Issue 1(2023)
- Issue Display:
- Volume 104, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 104
- Issue:
- 1
- Issue Sort Value:
- 2023-0104-0001-0000
- Page Start:
- 27
- Page End:
- 50
- Publication Date:
- 2022-12-20
- Subjects:
- consensus -- ELN -- flow cytometry -- myelodysplastic syndromes -- standardization
Flow cytometry -- Diagnostic use -- Periodicals
Cytodiagnosis -- Periodicals
616.07582 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/cyto.b.22108 ↗
- Languages:
- English
- ISSNs:
- 1552-4949
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3506.855200
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British Library HMNTS - ELD Digital store - Ingest File:
- 25844.xml