Interpretation of results of automated analysis of pleural effusion (clinical cases)

I. B. Baranovskaya, K. A. Kotivets, I. P. Sysoeva
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Abstract

Automated analysis of effusion fluids, providing a large amount of objective information about a biological sample, has significantly expanded the diagnostic capabilities of the cytological service. At the same time, there are currently no unified algorithms for interpreting the obtained data. The aim of the work was to develop, based on the results of automated analysis of pleural fluids, alternative predictions of the genesis of the effusion (benign / malignant). The study was carried out on the basis of the Clinical Regional Hospital No. 2 in Krasnodar (Russia). The results of automated analysis of biological fluids obtained using the Sysmex XN analyzer were compared with the data of cytological, laboratory and instrumental studies. The article presents some of our own developments that can serve as indicative criteria for interpreting the results of automated analysis of biological fluids. It has been established that in terms of differential diagnosis of the genesis of effusion, the indicators of total cytosis (TC-BF) and the absolute content of highly fluorescent mononuclear cells (HF-BF#) are the most informative. Accounting for clinical data, results of laboratory and instrumental studies increases the informative value of automated analysis of biological fluids.
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胸腔积液自动分析结果的解释(附临床病例)
积液的自动分析提供了大量关于生物样本的客观信息,大大扩展了细胞学服务的诊断能力。同时,目前还没有统一的算法来解释获得的数据。这项工作的目的是根据对胸腔积液的自动分析结果,对积液的成因(良性/恶性)进行替代预测。这项研究是在克拉斯诺达尔(俄罗斯)第二临床地区医院进行的。使用Sysmex XN分析仪自动分析生物体液的结果与细胞学、实验室和仪器研究的数据进行了比较。本文介绍了我们自己的一些发展,可以作为解释生物流体自动分析结果的指示性标准。在鉴别诊断积液的原因方面,总细胞计数(TC-BF)和高荧光单核细胞绝对含量(HF-BF#)是最有价值的指标。考虑到临床数据,实验室和仪器研究的结果增加了生物液体自动分析的信息价值。
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