Literature DB >> 17675229

Flow cytometric analysis of myelomonocytic cells by a pattern recognition approach is sensitive and specific in diagnosing myelodysplastic syndrome and related marrow diseases: emphasis on a global evaluation and recognition of diagnostic pitfalls.

Dariusz Stachurski1, Brian R Smith, Olga Pozdnyakova, Mary Andersen, Zhefu Xiao, Azra Raza, Bruce A Woda, Sa A Wang.   

Abstract

Published data on flow cytometry (FCM) in diagnosing myelodysplastic syndromes (MDS) varies greatly in analytic methods and interpretational approaches. We tested the diagnostic utility of the pattern recognition approach by a retrospective review of 180 MDS, 31 myelodysplastic/myeloproliferative disease (MDS/MPD), 37 non-MDS cytopenia and 20 myeloproliferative disease (MPD) cases. Cases were placed into "positive", "intermediate", and "negative" FCM categories based upon the antigenic aberrations observed on myelomonocytic cells. By exclusion or inclusion of the intermediate category as indicative of MDS or MDS/MPD, the overall sensitivity and specificity were 84% and 97% or 98% and 78%, respectively. The overall abnormalities detected by FCM correlated with the severity of morphological dysplasia and clonal cytogenetic abnormalities. MPD also demonstrated immunophenotypic aberrancy. Based on a global evaluation of myelomonocytic abnormalities, and recognition of diagnostic pitfalls and caveats, the pattern recognition approach of FCM is sensitive and reliable in diagnosing MDS and related myeloid diseases.

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Year:  2007        PMID: 17675229     DOI: 10.1016/j.leukres.2007.06.012

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  16 in total

1.  Altered immunophenotypic features of peripheral blood platelets in myelodysplastic syndromes.

Authors:  Alex F Sandes; Mihoko Yamamoto; Sergio Matarraz; Maria de Lourdes L F Chauffaille; Sandra Quijano; Antonio López; Tsutomu Oguro; Eliza Y S Kimura; Alberto Orfao
Journal:  Haematologica       Date:  2012-01-22       Impact factor: 9.941

2.  Multicentric study underlining the interest of adding CD5, CD7 and CD56 expression assessment to the flow cytometric Ogata score in myelodysplastic syndromes and myelodysplastic/myeloproliferative neoplasms.

Authors:  Valérie Bardet; Orianne Wagner-Ballon; Julien Guy; Céline Morvan; Camille Debord; Franck Trimoreau; Emmanuel Benayoun; Nicolas Chapuis; Nicolas Freynet; Cédric Rossi; Stéphanie Mathis; Marie-Pierre Gourin; Andréa Toma; Marie C Béné; Jean Feuillard; Estelle Guérin
Journal:  Haematologica       Date:  2015-01-30       Impact factor: 9.941

3.  Stochastic sensitivity analysis and kernel inference via distributional data.

Authors:  Bochong Li; Lingchong You
Journal:  Biophys J       Date:  2014-09-02       Impact factor: 4.033

Review 4.  Is There a Role for Flow Cytometry in the Evaluation of Patients With Myelodysplastic Syndromes?

Authors:  Anna Porwit
Journal:  Curr Hematol Malig Rep       Date:  2015-09       Impact factor: 3.952

5.  Utility of peripheral blood flow cytometry in differentiating low grade versus high grade myelodysplastic syndromes (MDS) and in the evaluation of cytopenias.

Authors:  Hooman H Rashidi; Xiangdong Xu; Huan-You Wang; Nelofar Q Shafi; Karuna Rameshkumar; Karen Messer; Brian R Smith; Michal G Rose
Journal:  Int J Clin Exp Pathol       Date:  2012-03-25

6.  Myelodysplasia-associated immunophenotypic alterations of bone marrow cells in myeloma: are they present at diagnosis or are they induced by lenalidomide?

Authors:  Sergio Matarraz; Bruno Paiva; María Diez-Campelo; Lucia López-Corral; Estefanía Pérez; Maria-Victoria Mateos; Pilar Giraldo; Miguel T Hernández; Jesús F San Miguel; Alberto Orfao
Journal:  Haematologica       Date:  2012-04-17       Impact factor: 9.941

7.  Standardization of flow cytometry in myelodysplastic syndromes: report from the first European LeukemiaNet working conference on flow cytometry in myelodysplastic syndromes.

Authors:  Arjan A van de Loosdrecht; Canan Alhan; Marie Christine Béné; Matteo G Della Porta; Angelika M Dräger; Jean Feuillard; Patricia Font; Ulrich Germing; Detlef Haase; Christa H Homburg; Robin Ireland; Joop H Jansen; Wolfgang Kern; Luca Malcovati; Jeroen G Te Marvelde; Ghulam J Mufti; Kiyoyuki Ogata; Alberto Orfao; Gert J Ossenkoppele; Anna Porwit; Frank W Preijers; Stephen J Richards; Gerrit Jan Schuurhuis; Dolores Subirá; Peter Valent; Vincent H J van der Velden; Paresh Vyas; August H Westra; Theo M de Witte; Denise A Wells; Michael R Loken; Theresia M Westers
Journal:  Haematologica       Date:  2009-06-22       Impact factor: 9.941

8.  Detection of paroxysmal nocturnal hemoglobinuria clones in patients with myelodysplastic syndromes and related bone marrow diseases, with emphasis on diagnostic pitfalls and caveats.

Authors:  Sa A Wang; Olga Pozdnyakova; Jeffrey L Jorgensen; L Jeffrey Medeiros; Dariusz Stachurski; Mary Anderson; Azra Raza; Bruce A Woda
Journal:  Haematologica       Date:  2008-11-10       Impact factor: 9.941

9.  Improving the differential diagnosis between myelodysplastic syndromes and reactive peripheral cytopenias by multiparametric flow cytometry: the role of B-cell precursors.

Authors:  Suiellen C Reis-Alves; Fabiola Traina; Konradin Metze; Irene Lorand-Metze
Journal:  Diagn Pathol       Date:  2015-04-29       Impact factor: 2.644

10.  Characteristics of the four subtypes of myelodysplastic/myeloproliferative neoplasms.

Authors:  Huanling Wu; Shuquan Bian; Jingxue Chu; Xiaoyan Zhong; Hui Sun; Bingchang Zhang; Zhiming Lu
Journal:  Exp Ther Med       Date:  2013-02-26       Impact factor: 2.447

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