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基于电子体积分析的白细胞分类计数自动化方法的评估

Evaluation of an automated method for leukocyte differential counts based on electronic volume analysis.

作者信息

Allen J K, Batjer J D

出版信息

Arch Pathol Lab Med. 1985 Jun;109(6):534-9.

PMID:3838883
Abstract

An electronic blood cell counter (Coulter S-plus IV) classifies leukocytes as lymphocytes, large mononuclear cells, or granulocytes based on volume after treatment with a reagent. Correlation coefficients as compared with stained film microscopy are .94 for lymphocytes, .91 for granulocytes, and .49 for mononuclear cells. As a screening tool, it could reduce the number of traditional manual differential cell counts. We devised criteria for identifying those specimens requiring additional visual examination, giving particular attention to "low-density" abnormalities. Over 2,200 specimens were studied. Among 791 specimens obtained primarily from inpatients, the screening procedure yielded 267 true-positive, 298 false-positive, 213 true-negative, and 13 false-negative specimens. The 1,216 specimens obtained primarily from outpatients included 54 true-positive, 234 false-positive, 912 true-negative, and 16 false-negative specimens. All false-negative specimens represented low-density abnormalities. The usefulness of this approach is partially dependent on patient population.

摘要

电子血细胞计数器(库尔特S-plus IV型)在用试剂处理后,根据体积将白细胞分类为淋巴细胞、大单核细胞或粒细胞。与染色涂片显微镜检查相比,淋巴细胞的相关系数为0.94,粒细胞为0.91,单核细胞为0.49。作为一种筛查工具,它可以减少传统手工细胞分类计数的数量。我们制定了识别那些需要额外目视检查的标本的标准,特别关注“低密度”异常情况。对2200多个标本进行了研究。在主要从住院患者获得的791个标本中,筛查程序产生了267个真阳性、298个假阳性、213个真阴性和13个假阴性标本。主要从门诊患者获得的1216个标本包括54个真阳性、234个假阳性、912个真阴性和16个假阴性标本。所有假阴性标本均代表低密度异常。这种方法的实用性部分取决于患者群体。

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