Automated parasitological diagnosis in clinical microbiology laboratories

Author:

Fernández-Rivas Gema,Rivaya Belén,Romaní Nona,Wang Jun Hao Wang,Alcaide Mireya,Matas Lurdes

Abstract

AbstractAlthough there is a low prevalence of parasitological infections in Europe, the diagnosis of intestinal parasites is still difficult and laborious for microbiology laboratories. Currently, antigen detection assays and molecular biology allow a more accurate diagnosis, but these techniques have limitations as they cannot detect all the possible parasites present in the samples. The objective of the study was to evaluate the accuracy and the usefulness of automated microscopy SediMAX2 (77 Elektronika, Budapest, Hungary) in the detection of parasitic infections from feces. A total of 197 formol-fixed stool samples were processed in parallel by wet mount examination and by SediMAX2. Sensitivities, specificities and predictive values were analyzed, reaching a sensitivity of 89.51% and a specificity of 98.15% and a very good positive predictive value (99.22%). SediMAX2 is a good tool for a reliable diagnosis of intestinal parasitic infections. The rapid processing and the flexibilty of storage of images analyzed make its incorporation into the day to day laboratory routine recommendable.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Parasite.ai – An Automated Parasitic Egg Detection Model from Microscopic Images of Fecal Smears using Deep Learning Techniques;2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2023-05-25

2. Imaging as a (pre)clinical tool in parasitology;Trends in Parasitology;2023-03

3. Advances in diagnosis of gastrointestinal nematodes in livestock and companion animals;Advances in Molecular and Automated Diagnosis of Intestinal Parasites of Animals and Humans;2022

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