TF-Test techniques for the laboratory diagnosis of gastrointestinal parasites of humans and animals

TF‑Test Conventionaland Modified technique Animal Gastrointestinal parasites Human Coprological tests

Journal

Veterinaria italiana
ISSN: 1828-1427
Titre abrégé: Vet Ital
Pays: Italy
ID NLM: 0201543

Informations de publication

Date de publication:
30 12 2022
Historique:
received: 27 10 2019
accepted: 18 01 2020
entrez: 31 12 2022
pubmed: 1 1 2023
medline: 4 1 2023
Statut: epublish

Résumé

Intestinal parasites inhabit the intestinal tract of humans and animals, causing damages whose severity depends on several factors related to the parasite and the host. Immunocompromised individuals are more likely to develop severe forms of parasitic infestation. The diagnosis of the gastrointestinal parasitosis is mainly performed by the examination of the feces, which consists of the direct visualization and identification of the parasites eliminated through the feces. These tests are generally low sensitive and the microscope slides contain a large number of impurities, which can impair the result of the diagnosis. In order to improve the diagnostic accuracy, a new parasitological technique called Three Fecal Test (TF‑Test) was developed. To further improve its diagnostic accuracy, few modifications of the original protocols have been made with the years. In this study the performance of these new techniques to detect gastrointestinal parasites in human and animal fecal samples was described and discussed in relation to the performance of other conventional coprological tests. It could be concluded that the TF‑Test conventional and modified can be used for the diagnosis of several human and animal parasites, with satisfactory results.

Identifiants

pubmed: 36586119
doi: 10.12834/VetIt.2040.10928.1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Sandra Valéria Inácio (SV)

Universidade Estadual Paulista (Unesp), Faculdade de Medicina Veterinária, Araçatuba.

Jancarlo Ferreira Gomes (JF)

Laboratory of Image Data Science (LIDS) - Instituto de Computação e Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brasil.

Alexandre Xavier Falcão (AX)

Laboratory of Image Data Science (LIDS) - Instituto de Computação e Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brasil.

Débora Regina Romualdo Da Silva (DRR)

Universidade Estadual Paulista (Unesp), Faculdade de Medicina Veterinária, Araçatuba.

Walter Bertequini Nagata (WB)

Universidade Estadual Paulista (Unesp), Faculdade de Medicina Veterinária, Araçatuba.

Bianca Martins Dos Santos (BM)

Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brasil.

Felipe Augusto Soares (FA)

Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brasil.

Saulo Hudson Nery Loiola (SH)

Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brasil.

Aline do Nascimento Benitez (ADN)

Laboratory of Image Data Science (LIDS) - Instituto de Computação e Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brasil.

Stefani Laryssa Rosa (SL)

Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brasil.

Katia Denise Saraiva Bresciani (KDS)

Universidade Estadual Paulista (Unesp), Faculdade de Medicina Veterinária, Araçatuba. katia.bresciani@unesp.br.

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Classifications MeSH