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[使用自动血液分析仪对白血病进行血液学分析]

[Hematological analysis of leukemic diseases using an automated hematology analyzer].

作者信息

Shigeta H

机构信息

Clinical Laboratory Division, Chiba Cancer Center Hospital.

出版信息

Rinsho Byori. 1993 Dec;41(12):1279-88.

PMID:8295337
Abstract

Owing to recent technical developments in automated hematology analyzers, identification of 5-part differential counts in white blood cells and also of abnormal leukocytes has become possible. Blood specimens from 200 patients with leukemic hematologic conditions were processed through a Coulter STKS which gives a favorable white cell differential count utilizing the following parameters: volumetric impedance (V), electric conductivity/cell volume (C), and a monochromatic laser beam which provides collectively white cell scatterplot (S). To analyze the presented figures of a pathologic scatterplot (SP) on the visual display unit, the standard scale derived from 220 normal SP patterns which was composed of four kinds of cell SP scales (neutrophil: N, monocyte: Mo, eosinophil: Eo, lymphocyte: Ly) was applied. Leukemic SP figures were variable depending upon both the type of FAB classification and their therapeutic processes. SP forms of M0-blasts were semi-round and located in the central area surrounded by N-, Mo-, and Ly-SP scale. Blast SP of M1 and M2 was shown as a developing process to the SP field containing immature myeloid cells extending from the central area. It was reasonable that immature neutrophilic SP expression was obtained in M3 and Ph1 positive CML. However, the SP of M3v and Ph1 negative CML showed myelomonocytic features as CMMoL does. Typical myelomonocytic SP patterns were obtained in M4 patients. SP figures of MDS were characterized by deformability, dislocation and another abnormality, and these changes, especially in lymphocytes are very useful for diagnosis of MDS. Therefore, the FAB subtype of AML including MDS and CML could be distinguished from each other on the basis of SP pattern. In lymphoproliferative disorders, limited conductivity in ALL-SP was characteristic, while irregular and deformed SP was peculiar in leukemic malignant lymphoma. It would be a valuable process to analyze the SP pattern obtained from an automated hematology analyzer for identification of leukemic diseases.

摘要

由于自动血液分析仪最近的技术发展,识别白细胞的五分类计数以及异常白细胞已成为可能。对200例白血病血液疾病患者的血样进行了Coulter STKS检测,该仪器利用以下参数给出良好的白细胞分类计数:体积阻抗(V)、电导率/细胞体积(C)以及提供白细胞散点图(S)的单色激光束。为了分析视觉显示单元上呈现的病理散点图(SP)数据,应用了由220种正常SP模式得出的标准量表,该量表由四种细胞SP量表(中性粒细胞:N,单核细胞:Mo,嗜酸性粒细胞:Eo,淋巴细胞:Ly)组成。白血病SP数据因FAB分类类型及其治疗过程而异。M0原始细胞的SP形式为半圆形,位于由N-、Mo-和Ly-SP量表包围的中心区域。M1和M2的原始细胞SP显示为从中心区域延伸到包含未成熟髓样细胞的SP区域的发展过程。在M3和Ph1阳性慢性粒细胞白血病中获得未成熟嗜中性SP表达是合理的。然而,M3v和Ph1阴性慢性粒细胞白血病的SP显示出与慢性粒-单核细胞白血病相同的粒-单核细胞特征。在M4患者中获得了典型的粒-单核细胞SP模式。骨髓增生异常综合征的SP数据特征为可变形性、错位和其他异常,这些变化,尤其是淋巴细胞的变化,对骨髓增生异常综合征的诊断非常有用。因此,包括骨髓增生异常综合征和慢性粒细胞白血病在内的急性髓系白血病的FAB亚型可以根据SP模式相互区分。在淋巴细胞增殖性疾病中,急性淋巴细胞白血病SP的有限电导率是其特征,而白血病恶性淋巴瘤的SP不规则且变形。分析自动血液分析仪获得的SP模式以识别白血病是一个有价值的过程。

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