Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jul 11;13(1):346.
doi: 10.1186/s13071-020-04215-x.

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

Affiliations

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

Yoko Nagamori et al. Parasit Vectors. .

Abstract

Background: Fecal examination is an important component of routine companion animal wellness exams. Sensitivity and specificity of fecal examinations, however, are influenced by sample preparation methodologies and the level of training and experience of personnel who read fecal slides. The VETSCAN IMAGYST system consists of three components: a sample preparation device, a commercially available scanner, and an analysis software. The VETSCAN IMAGYST automated scanner and cloud-based, deep learning algorithm, locates, classifies, and identifies parasite eggs found on fecal microscopic slides. The main study objectives were (i) to qualitatively evaluate the capabilities of the VETSCAN IMAGYST screening system and (ii) to assess and compare the performance of the VETSCAN IMAGYST fecal preparation methods to conventional fecal flotation techniques.

Methods: To assess the capabilities of VETSCAN IMAGYST screening components, fecal slides were prepared by the VETSCAN IMAGYST centrifugal and passive flotation techniques with 100 pre-screened fecal samples collected from dogs and cats and examined by both the algorithm and parasitologists. To determine the diagnostic sensitivity and specificity of the VETSCAN IMAGYST sample preparation techniques, fecal flotation slides were prepared by four different techniques (VETSCAN IMAGYST centrifugal and passive flotations, conventional centrifugal flotation, and passive flotation using OVASSAY® Plus) and examined by parasitologists. Additionally, required sample preparation and scanning times were estimated on a subset of samples to evaluate VETSCAN IMAGYST ease-of-use.

Results: The algorithm performance of the VETSCAN IMAGYST closely matched that of the parasitologists, with Pearson's correlation coefficient (r) ranging from 0.83-0.99 across four taxa of parasites, Ancylostoma, Toxocara, Trichuris and Taeniidae. Both VETSCAN IMAGYST centrifugal and passive flotation methods correlated well with conventional preparation methods on all targeted parasites (diagnostic sensitivity of 75.8-100%, specificity of 91.8-100%, qualitative agreement between methods of 93.8-94.5%). Sample preparation, slide scan and image analysis were completed within 10-14 min by VETSCAN IMAGYST centrifugal and passive flotations, respectively.

Conclusions: The VETSCAN IMAGYST scanning system with the VETSCAN IMAGYST sample preparation methods demonstrated a qualitative match in comparison to the results of parasitologists' examinations with conventional fecal flotation techniques. The VETSCAN IMAGYST is an easy-to-use, next generation qualitative and possibly quantitative diagnostic platform that brings expert clinical results into the hands of veterinary clinics.

Keywords: Artificial intelligence; Deep learning; Fecal egg identification; Veterinary parasitology diagnostic.

PubMed Disclaimer

Conflict of interest statement

RHS, AD, AP, ML, RG and TC are current employees of Zoetis. BL and RBS are current employees of Techcyte.

Figures

Fig. 1
Fig. 1
VETSCAN IMAGYST fecal flotation uses a simple, proprietary sample preparation method to create slides for digitization and automatic uploading to the cloud for analysis by deep learning algorithms for common intestinal parasite eggs
Fig. 2
Fig. 2
Summary of VETSCAN IMAGYST centrifugal flotation and passive flotation sample preparation methods
Fig. 3
Fig. 3
Scatter plot of VETSCAN IMAGYST centrifugal flotation method (a) and VETSCAN IMAGYST passive flotation method (b) read by a parasitologist (x-axis) versus read by the VETSCAN IMAGYST algorithm (y-axis)
Fig. 4
Fig. 4
VETSCAN IMAGYST images of individual fecal parasite eggs. Each column presents a representative image of each taxon

References

    1. O’Grady MR, Slocombe JO. An investigation of variables in a fecal flotation technique. Can J Comp Med. 1980;44:148–157. - PMC - PubMed
    1. Zajac AM, Johnson J, King SE. Evaluation of the importance of centrifugation as a component of zinc sulfate fecal flotation examinations. J Am Anim Hosp Assoc. 2002;38:221–224. doi: 10.5326/0380221. - DOI - PubMed
    1. Decock C, Cadiergues MC, Larcher M, Vermot S, Franc M. Comparison of two techniques for diagnosis of giardiasis in dogs. Parasite. 2003;10:69–72. doi: 10.1051/parasite/2003101p69. - DOI - PubMed
    1. Dryden MW, Payne PA, Ridley R, Smith V. Comparison of common fecal flotation techniques for the recovery of parasite eggs and oocysts. Vet Ther. 2005;6:15–28. - PubMed
    1. Dryden MW, Payne PA, Ridley RK, Smith VE. Gastrointestinal parasites: the practice guide to accurate diagnosis and treatment. Compend Contin Educ Vet. 2006;28:8.