Literature DB >> 17803189

2006 Bethesda International Consensus recommendations on the immunophenotypic analysis of hematolymphoid neoplasia by flow cytometry: optimal reagents and reporting for the flow cytometric diagnosis of hematopoietic neoplasia.

Brent L Wood1, Maria Arroz, David Barnett, Joseph DiGiuseppe, Bruce Greig, Steven J Kussick, Teri Oldaker, Mark Shenkin, Elizabeth Stone, Paul Wallace.   

Abstract

Immunophenotyping by flow cytometry has become standard practice in the evaluation and monitoring of patients with hematopoietic neoplasia. However, despite its widespread use, considerable variability continues to exist in the reagents used for evaluation and the format in which results are reported. As part of the 2006 Bethesda Consensus conference, a committee was formed to attempt to define a consensus set of reagents suitable for general use in the diagnosis and monitoring of hematopoietic neoplasms. The committee included laboratory professionals from private, public, and university hospitals as well as large reference laboratories that routinely operate clinical flow cytometry laboratories with an emphasis on lymphoma and leukemia immunophenotyping. A survey of participants successfully identified the cell lineage(s) to be evaluated for each of a variety of specific medical indications and defined a set of consensus reagents suitable for the initial evaluation of each cell lineage. Elements to be included in the reporting of clinical flow cytometric results for leukemia and lymphoma evaluation were also refined and are comprehensively listed. The 2006 Bethesda Consensus conference represents the first successful attempt to define a set of consensus reagents suitable for the initial evaluation of hematopoietic neoplasia. Copyright 2007 Clinical Cytometry Society.

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Year:  2007        PMID: 17803189     DOI: 10.1002/cyto.b.20363

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  34 in total

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3.  EuroFlow antibody panels for standardized n-dimensional flow cytometric immunophenotyping of normal, reactive and malignant leukocytes.

Authors:  J J M van Dongen; L Lhermitte; S Böttcher; J Almeida; V H J van der Velden; J Flores-Montero; A Rawstron; V Asnafi; Q Lécrevisse; P Lucio; E Mejstrikova; T Szczepański; T Kalina; R de Tute; M Brüggemann; L Sedek; M Cullen; A W Langerak; A Mendonça; E Macintyre; M Martin-Ayuso; O Hrusak; M B Vidriales; A Orfao
Journal:  Leukemia       Date:  2012-05-03       Impact factor: 11.528

4.  Circulating tumor DNA dynamically predicts response and/or relapse in patients with hematological malignancies.

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5.  Biphenotypic, bilineal, ambiguous or mixed lineage: strange leukemias!

Authors:  Marie C Béné
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6.  Immunophenotyping of Murine Precursor B-Cell Leukemia/Lymphoma: A Comparison of Immunohistochemistry and Flow Cytometry.

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Journal:  Vet Pathol       Date:  2019-06-06       Impact factor: 2.221

7.  Deep profiling of multitube flow cytometry data.

Authors:  Kieran O'Neill; Nima Aghaeepour; Jeremy Parker; Donna Hogge; Aly Karsan; Bakul Dalal; Ryan R Brinkman
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8.  Automated Assessment of Disease Progression in Acute Myeloid Leukemia by Probabilistic Analysis of Flow Cytometry Data.

Authors:  Bartek Rajwa; Paul K Wallace; Elizabeth A Griffiths; Murat Dundar
Journal:  IEEE Trans Biomed Eng       Date:  2016-07-13       Impact factor: 4.538

Review 9.  Diagnosis of Plasma Cell Dyscrasias and Monitoring of Minimal Residual Disease by Multiparametric Flow Cytometry.

Authors:  Kah Teong Soh; Joseph D Tario; Paul K Wallace
Journal:  Clin Lab Med       Date:  2017-12       Impact factor: 1.935

10.  PhenoGraph and viSNE facilitate the identification of abnormal T-cell populations in routine clinical flow cytometric data.

Authors:  Joseph A DiGiuseppe; Jolene L Cardinali; William N Rezuke; Dana Pe'er
Journal:  Cytometry B Clin Cytom       Date:  2017-09-26       Impact factor: 3.058

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