Literature DB >> 3616725

Myelodysplastic syndrome: identification in the routine hematology laboratory.

E S Rappaport, B Helbert, D J Ladd, A A Trowbridge.   

Abstract

The Coulter S+IV electronically generates an automated white blood cell differential which counts 10,000+ cells per sample, separating lymphocytes, mononuclear cells, and granulocytes. In patients with preleukemic or so-called myelodysplastic syndromes, the histograms are consistently abnormal. CBCs of five patients demonstrate the variable features of myelodysplasia involving abnormal monocytosis, neutropenia, thrombocytopenia, and macro-ovalocytic anemias. The histogram analysis of white blood cells is a rapid, economic way of alerting the hematologist to a possible diagnostic problem in the elderly patient population.

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Year:  1987        PMID: 3616725     DOI: 10.1097/00007611-198708000-00009

Source DB:  PubMed          Journal:  South Med J        ISSN: 0038-4348            Impact factor:   0.954


  3 in total

1.  Severe neutropenia: a diagnostic approach.

Authors:  H G Munshi; R B Montgomery
Journal:  West J Med       Date:  2000-04

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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