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Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis
Because canine intestinal parasites are considered cosmopolitan, they carry significant zoonotic potential to public health. These etiological agents are routinely diagnosed using microscopic examination commonly used because of its low cost, simple execution, and direct evidence. However, there are...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169455/ https://www.ncbi.nlm.nih.gov/pubmed/32093178 http://dx.doi.org/10.3390/pathogens9020139 |
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author | Inácio, Sandra Valéria Ferreira Gomes, Jancarlo Xavier Falcão, Alexandre Nagase Suzuki, Celso Tetsuo Bertequini Nagata, Walter Nery Loiola, Saulo Hudson Martins dos Santos, Bianca Soares, Felipe Augusto Rosa, Stefani Laryssa Baptista, Carolina Beatriz Borges Alves, Graziella Saraiva Bresciani, Katia Denise |
author_facet | Inácio, Sandra Valéria Ferreira Gomes, Jancarlo Xavier Falcão, Alexandre Nagase Suzuki, Celso Tetsuo Bertequini Nagata, Walter Nery Loiola, Saulo Hudson Martins dos Santos, Bianca Soares, Felipe Augusto Rosa, Stefani Laryssa Baptista, Carolina Beatriz Borges Alves, Graziella Saraiva Bresciani, Katia Denise |
author_sort | Inácio, Sandra Valéria |
collection | PubMed |
description | Because canine intestinal parasites are considered cosmopolitan, they carry significant zoonotic potential to public health. These etiological agents are routinely diagnosed using microscopic examination commonly used because of its low cost, simple execution, and direct evidence. However, there are reports in the literature on the poor performance of this test due to low to moderate sensitivity resulting from frequent errors, procedures and interpretation. Therefore, to improve the diagnostic efficiency of microscopic examination in veterinary medicine, we developed and evaluated a unique new protocol. This system was tested in a study involving four genera of highly prevalent canine intestinal parasites in an endemic region in São Paulo state, Brazil. Fecal samples from 104 animals were collected for this research. The new protocol had a significantly higher (p < 0.0001) number of positive cases on image data, including parasites and impurities, and was elaborate to test them with the TF-GII/Dog technique, with a moderate agreement and Kappa index of 0.7636. We concluded that the new Prototic Coproparasitological Test for Dogs (PC-Test Dog) allowed a better visualization of the parasitic structures and showed a favorable result for the diagnosis of intestinal parasites in dogs. |
format | Online Article Text |
id | pubmed-7169455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71694552020-04-22 Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis Inácio, Sandra Valéria Ferreira Gomes, Jancarlo Xavier Falcão, Alexandre Nagase Suzuki, Celso Tetsuo Bertequini Nagata, Walter Nery Loiola, Saulo Hudson Martins dos Santos, Bianca Soares, Felipe Augusto Rosa, Stefani Laryssa Baptista, Carolina Beatriz Borges Alves, Graziella Saraiva Bresciani, Katia Denise Pathogens Article Because canine intestinal parasites are considered cosmopolitan, they carry significant zoonotic potential to public health. These etiological agents are routinely diagnosed using microscopic examination commonly used because of its low cost, simple execution, and direct evidence. However, there are reports in the literature on the poor performance of this test due to low to moderate sensitivity resulting from frequent errors, procedures and interpretation. Therefore, to improve the diagnostic efficiency of microscopic examination in veterinary medicine, we developed and evaluated a unique new protocol. This system was tested in a study involving four genera of highly prevalent canine intestinal parasites in an endemic region in São Paulo state, Brazil. Fecal samples from 104 animals were collected for this research. The new protocol had a significantly higher (p < 0.0001) number of positive cases on image data, including parasites and impurities, and was elaborate to test them with the TF-GII/Dog technique, with a moderate agreement and Kappa index of 0.7636. We concluded that the new Prototic Coproparasitological Test for Dogs (PC-Test Dog) allowed a better visualization of the parasitic structures and showed a favorable result for the diagnosis of intestinal parasites in dogs. MDPI 2020-02-20 /pmc/articles/PMC7169455/ /pubmed/32093178 http://dx.doi.org/10.3390/pathogens9020139 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Inácio, Sandra Valéria Ferreira Gomes, Jancarlo Xavier Falcão, Alexandre Nagase Suzuki, Celso Tetsuo Bertequini Nagata, Walter Nery Loiola, Saulo Hudson Martins dos Santos, Bianca Soares, Felipe Augusto Rosa, Stefani Laryssa Baptista, Carolina Beatriz Borges Alves, Graziella Saraiva Bresciani, Katia Denise Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis |
title | Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis |
title_full | Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis |
title_fullStr | Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis |
title_full_unstemmed | Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis |
title_short | Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis |
title_sort | automated diagnosis of canine gastrointestinal parasites using image analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169455/ https://www.ncbi.nlm.nih.gov/pubmed/32093178 http://dx.doi.org/10.3390/pathogens9020139 |
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