Literature DB >> 25676370

Analysis of bone marrow aspiration fluid using automated blood cell counters.

Giuseppe d'Onofrio1, Gina Zini2.   

Abstract

Cytomorphological examination of aspirate smears remains the basic method to diagnose hematologic disorders and to evaluate treatment-related changes. Last-generation hematological analyzers can count, besides cells normally circulating in peripheral blood, some types of immature and abnormal cells, such as erythroblasts and immature granulocytes. The complex nature of bone marrow fluid, however, has prevented until now the routine utilization of blood cell counters in this area. Recent studies have shown the possibility of using bone marrow fluid as a substitute for peripheral blood for clinical tests in particular situations and for repetitive cytologic examinations in specific clinical and research fields.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Automated blood cell counters; Bone marrow analysis; Bone marrow aspirate; Erythroblast count; Flow cytometry; Reticulocytes; Toxicologic studies

Mesh:

Year:  2014        PMID: 25676370     DOI: 10.1016/j.cll.2014.10.001

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  3 in total

1.  Reliable assessment of bone marrow and bone marrow concentrates using automated hematology analyzer.

Authors:  Venkata P Mantripragada; Nicolas S Piuzzi; Jaiben George; Wesley Bova; Mitchell Ng; Cynthia Boehm; George F Muschler
Journal:  Regen Med       Date:  2019-07-19       Impact factor: 3.806

2.  A Novel Method to Assess Bone Marrow Purity is Useful in Determining Blast Percentage by Flow Cytometry in Acute Myeloid Leukemia and Myelodysplasia.

Authors:  A M Aldawood; Z Kinkade; F G Rosado; O A Esan; L F Gibson; J A Vos
Journal:  Ann Hematol Oncol       Date:  2015

3.  Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells.

Authors:  Ramraj Chandradevan; Ahmed A Aljudi; Bradley R Drumheller; Nilakshan Kunananthaseelan; Mohamed Amgad; David A Gutman; Lee A D Cooper; David L Jaye
Journal:  Lab Invest       Date:  2019-09-30       Impact factor: 5.662

  3 in total

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