ESTIMATION OF METASTATIC NEOGENESIS IN ASCITIC EXUDATE BY AN AUTOMATED ANALYSIS OF BIOLOGICAL LIQUIDS

Baranovskaya, Irina B. and Samokhina, Ol’ga F. and Demidchenko, Galina A. and Sysoeva, Irina P. (2019) ESTIMATION OF METASTATIC NEOGENESIS IN ASCITIC EXUDATE BY AN AUTOMATED ANALYSIS OF BIOLOGICAL LIQUIDS. Kuban Scientific Medical Bulletin, 26 (1). pp. 58-66. ISSN 1608-6228

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Abstract

The aim is to carry out an automated analysis of biological liquids for the estimation of metastatic neogenesis in ascitic exudates.

Materials and methods. A retrospective analysis of 40 case histories of patients with the ascitic syndrome of non-tumour (cirrhotic) and tumour genesis was performed. Traditional cytology was accompanied by an automated analysis of exudative fluids. The final diagnosis was verified using instrumental and pathomorphological methods. The processing of statistical data included an assessment of the intergroup difference significance.

Results. Compared with cirrhotic ascites, the following parameters of the automated analysis of biological fluids are found to be statistically significant (p30% in the atypical cell screening system has been established. In the absence of an acute inflammatory reaction, the presence of eosinophils in the exudate should be interpreted as an indirect marker of a tumour process. According to the data obtained, the content of neutrophils, lymphocytes and monocytes in ascitic fluids does not depend on the nature of the process (p>0.05).

Conclusion. The diagnostic capabilities of automated analysis of ascitic fluids are analysed. In the system of differential diagnosis of tumour and non-tumour processes, the following parameters are established to possess the greatest informative value: TCN, HF, and the presence of eosinophils (EO).

Conflict of interest: the authors declare no conflict of interest.

Item Type: Article
Subjects: STM Article > Medical Science
Depositing User: Unnamed user with email support@stmarticle.org
Date Deposited: 03 Mar 2023 08:58
Last Modified: 01 Aug 2024 07:00
URI: http://publish.journalgazett.co.in/id/eprint/662

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