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Open AccessArticle

Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis

1
School of Veterinary Medicine, São Paulo State University, Araçatuba, São Paulo 16050-680, Brazil
2
School of Medical Sciences, University of Campinas, São Paulo 13083-887, Brazil
3
Laboratory of Image Data Science, Institute of Computing, University of Campinas, São Paulo 13083-852, Brazil
*
Author to whom correspondence should be addressed.
Pathogens 2020, 9(2), 139; https://doi.org/10.3390/pathogens9020139
Received: 6 January 2020 / Revised: 28 January 2020 / Accepted: 6 February 2020 / Published: 20 February 2020
(This article belongs to the Special Issue Animal Parasitic Diseases)
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. View Full-Text
Keywords: Automation; diagnosis; dogs; parasites; stool Automation; diagnosis; dogs; parasites; stool
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Inácio, S.V.; Ferreira Gomes, J.; Xavier Falcão, A.; Nagase Suzuki, C.T.; Bertequini Nagata, W.; Nery Loiola, S.H.; Martins dos Santos, B.; Soares, F.A.; Rosa, S.L.; Baptista, C.B.; Borges Alves, G.; Saraiva Bresciani, K.D. Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis. Pathogens 2020, 9, 139.

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