Use of an automated hematology analyzer and flow cytometry to assess bone marrow cellularity and differential cell count

被引:0
作者
Kim, N [1 ]
Kim, J [1 ]
Lim, J [1 ]
Kim, Y [1 ]
Han, K [1 ]
Kang, CS [1 ]
机构
[1] Catholic Univ, Coll Med, Dept Clin Pathol, St Marys Hosp, Seoul 150713, South Korea
关键词
bone marrow; differential count; hematology analyzer; flow cytometry; CD45; propidium iodide;
D O I
暂无
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
The automated analysis of bone marrow aspirates was performed to estimate the bone marrow cellularity and differential cell count. Total nucleated cell count (TNC) was measured using an automated hematology analyzer. TNC of the bone marrow correlated well with the bone marrow cellularity estimated by microscopic examination (r = 0.590, p <0.001). The bone marrow cellularity was readily confirmed as <30%, from 30 to 70%, or >70% according to TNC. Differential count of bone marrow cells was done with the combination of CD45 monoclonal antibody and propidium iodide using flow cytometry. Excellent correlations were obtained for the population distributions of normoblasts, eosinophils, lymphocytes, and blasts between the results of flow cytometry and manual differential counts. The percentage of mature granulocytes in flow cytometry showed good correlation with the manual percentage of metamyelocytes + neutrophils. The percentage of immature granulocytes by flow cytometry showed good correlation with the manual percentage of blasts + promyelocytes + myelocytes. These results demonstrate that analysis of bone marrow aspirates using an automated hematology analyzer is valuable in the determination of bone marrow cellularity. Moreover, as flow cytometry provides objective findings for percentages of major cell populations, it can serve as a method to automate bone marrow differentials.
引用
收藏
页码:307 / 313
页数:7
相关论文
共 16 条
  • [1] ACCESSIBILITY OF DNA INSITU TO VARIOUS FLUOROCHROMES - RELATIONSHIP TO CHROMATIN CHANGES DURING ERYTHROID-DIFFERENTIATION OF FRIEND-LEUKEMIA CELLS
    DARZYNKIEWICZ, Z
    TRAGANOS, F
    KAPUSCINSKI, J
    STAIANOCOICO, L
    MELAMED, MR
    [J]. CYTOMETRY, 1984, 5 (04): : 355 - 363
  • [2] DAVEY FR, 2001, CLIN DIAGNOSIS MANAG, P539
  • [3] DENOTTOLANDER GJ, 1995, AM J CLIN PATHOL, V103, P492
  • [4] Fujimoto H, 2000, CYTOMETRY, V42, P371, DOI 10.1002/1097-0320(20001215)42:6<371::AID-CYTO1004>3.0.CO
  • [5] 2-G
  • [6] ASSESSMENT OF DNA CONTENT AND CELL-CYCLE DISTRIBUTION OF ERYTHROID AND MYELOID CELLS FROM BONE-MARROW
    HODGETTS, J
    HOY, TG
    JACOBS, A
    [J]. JOURNAL OF CLINICAL PATHOLOGY, 1988, 41 (10) : 1120 - 1124
  • [7] An automated method for flow-cytometric analysis of human vertebral body marrow
    Knapp, JC
    Kenyon, NS
    Russell, TR
    Ricordi, C
    [J]. TRANSPLANTATION PROCEEDINGS, 1997, 29 (04) : 1953 - 1953
  • [8] COMPARATIVE-EVALUATION OF THE BONE-MARROW BY THE VOLUMETRIC METHOD, PARTICLE SMEARS, AND BIOPSIES IN PEDIATRIC DISORDERS
    OZKAYNAK, MF
    SCRIBANO, P
    GOMPERTS, E
    IZADI, P
    MILLIN, R
    ISAACS, H
    ETTINGER, LJ
    [J]. AMERICAN JOURNAL OF HEMATOLOGY, 1988, 29 (03) : 144 - 147
  • [9] POON AO, 1981, CLIN LAB HAEMATOL, V3, P239
  • [10] CD45 GATING CORRELATES WITH BONE-MARROW DIFFERENTIAL
    RAINER, RO
    HODGES, L
    SELTZER, GT
    [J]. CYTOMETRY, 1995, 22 (02): : 139 - 145