Literature DB >> 19284803

Comparison of passive fecal flotation run by veterinary students to zinc-sulfate centrifugation flotation run in a diagnostic parasitology laboratory.

Maureen C Gates1, Thomas J Nolan.   

Abstract

The sensitivity of fecal examination methods can be influenced by both technician error and methodology. In this analysis, we compared the results of 335 passive fecal flotation examinations performed on the feces of stray dogs by 3rd-yr veterinary students at the University of Pennsylvania, School of Veterinary Medicine, to the results obtained through zinc-sulfate centrifugation performed by the diagnostic parasitology laboratory on the same fecal samples. The students' passive flotation results agreed with the laboratory zinc-sulfate centrifugation for only 62.4% of samples. Students were able to diagnose 75.0% of Ancylostoma caninum cases, 71.4% of Toxocara canis cases, 54.2% of Trichuris vulpis cases, 26.7% of Cystoisospora spp. (C. ohioensis-like and C. canis) cases, and 14.7% of Giardia lamblia cases. There were also 70 instances where students reported the presence of parasites in the sample that were not diagnosed by zinc-sulfate centrifugation. Based on the overall study findings, passive fecal flotation examinations run in private practice could be missing up to 50.5% of infected dogs, due to either technician error or inherent limitations to the passive fecal flotation technique.

Entities:  

Mesh:

Year:  2009        PMID: 19284803     DOI: 10.1645/GE-2058.1

Source DB:  PubMed          Journal:  J Parasitol        ISSN: 0022-3395            Impact factor:   1.276


  5 in total

1.  Which McMaster egg counting technique is the most reliable?

Authors:  Jaroslav Vadlejch; Miloslav Petrtýl; Igor Zaichenko; Zuzana Cadková; Ivana Jankovská; Iva Langrová; Milan Moravec
Journal:  Parasitol Res       Date:  2011-04-28       Impact factor: 2.289

2.  Further evaluation and validation of the VETSCAN IMAGYST: in-clinic feline and canine fecal parasite detection system integrated with a deep learning algorithm.

Authors:  Yoko Nagamori; Ruth Hall Sedlak; Andrew DeRosa; Aleah Pullins; Travis Cree; Michael Loenser; Benjamin S Larson; Richard Boyd Smith; Cory Penn; Richard Goldstein
Journal:  Parasit Vectors       Date:  2021-01-29       Impact factor: 3.876

3.  The influence of serial fecal sampling on the diagnosis of giardiasis in humans, dogs, and cats.

Authors:  Flávia Fernandes de Mendonça Uchôa; Adriana Pittella Sudré; Daniel de Barros Macieira; Nádia Regina Pereira Almosny
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2017-08-24       Impact factor: 1.846

4.  Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline fecal parasite detection system integrated with a deep learning algorithm.

Authors:  Yoko Nagamori; Ruth Hall Sedlak; Andrew DeRosa; Aleah Pullins; Travis Cree; Michael Loenser; Benjamin S Larson; Richard Boyd Smith; Richard Goldstein
Journal:  Parasit Vectors       Date:  2020-07-11       Impact factor: 3.876

5.  Detection of Trichuris eggs in feces and soil from giraffe (Giraffa camelopardalis) and other hoofstock enclosures under human care in the USA.

Authors:  Lauren Shusterman; Antoinette E Marsh; Priscilla H Joyner; Greg Habing
Journal:  Int J Parasitol Parasites Wildl       Date:  2021-05-26       Impact factor: 2.674

  5 in total

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