Literature DB >> 29310473

A new approach for diagnosing chronic myelomonocytic leukemia using structural parameters of Sysmex XNTM analyzers in routine laboratory practice.

Françoise Schillinger1, Elise Sourdeau2, Marouane Boubaya3, Lucile Baseggio4, Sylvain Clauser3, Edouard Cornet5, Camille Debord6, Jean-Pierre Defour7, Frédérique Dubois8, Marion Eveillard6, Anne-Cécile Galoisy9, Marie-Odile Geay3, François Mullier10, Vanessa Nivaggioni11, Valérie Soenen12, Pascal Morel13, Francine Garnache-Ottou1, Emily Ronez2, Valérie Bardet2, Eric Deconinck14.   

Abstract

According to WHO recommendations, diagnosis of chronic myelomonocytic leukemia (CMML) beforehand requires microscopic examination of peripheral blood to identify dysplasia and/or blasts when monocytes are greater or equal to 1.0 × 109/L and 10% of leucocytes. We analyzed parameters derived from SysmexTM XN analyzers to improve the management of microscopic examination for monocytosis. We analyzed results of the complete blood count and the positioning and dispersion parameters of polymorphonuclear neutrophils and monocytes in 61 patients presenting with CMML and 635 control patients presenting with a reactive monocytosis. We used logistic regression and multivariate analysis to define a score for smear review. Three parameters were selected: neutrophil/monocyte ratio, structural neutrophil dispersion (Ne-WX) and monocyte absolute value. We established an equation in which the threshold of 0.160 guided microscopic examination in the search for CMML abnormalities with a sensitivity of 0.967 and a specificity of 0.978 in the learning cohort (696 samples) and 0.923 and 0.936 in the validation cohort (1809 samples) respectively. We created a score for microscopic smear examination of patients presenting with a monocytosis greater or equal to 1.0 × 109/L and 10% of leucocytes, improving efficiency in laboratory routine practice.

Entities:  

Keywords:  Hematology; automated blood count; chronic myelomonocytic leukemia; disease diagnostics; microscopy

Mesh:

Year:  2018        PMID: 29310473     DOI: 10.1080/00365513.2018.1423702

Source DB:  PubMed          Journal:  Scand J Clin Lab Invest        ISSN: 0036-5513            Impact factor:   1.713


  3 in total

1.  A hierarchical approach in the diagnostic workflow of chronic myelomonocytic leukemia: Pivotal role of the "Mono-dysplasia-score" combined with flow cytometric quantification of monocyte subsets.

Authors:  Jaja Zhu; Elise Sourdeau; Honorine Aubert; Sylvain Clauser; Agathe Maillon; Claude Capron; Katayoun Jondeau; Emily Ronez; Francoise Schillinger; Francine Garnache-Ottou; Edouard Cornet; Valérie Bardet
Journal:  Int J Lab Hematol       Date:  2019-10-24       Impact factor: 2.877

Review 2.  Automated Detection of Dysplasia: Data Mining from Our Hematology Analyzers.

Authors:  Jaja Zhu; Sylvain Clauser; Nicolas Freynet; Valérie Bardet
Journal:  Diagnostics (Basel)       Date:  2022-06-26

3.  Machine learning-based improvement of MDS-CBC score brings platelets into the limelight to optimize smear review in the hematology laboratory.

Authors:  Jaja Zhu; Pierre Lemaire; Stéphanie Mathis; Emily Ronez; Sylvain Clauser; Katayoun Jondeau; Pierre Fenaux; Lionel Adès; Valérie Bardet
Journal:  BMC Cancer       Date:  2022-09-10       Impact factor: 4.638

  3 in total

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