ArticleParasites & vectors2020
Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline fecal parasite detection system integrated with a deep learning algorithm.
Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Artificial Intelligence in Veterinary Clinical Pathology-An Introduction and Review.Veterinary clinical pathology · 2025Review
- Validation of Vetscan ImagystParasites & vectors · 2024Article
- Laboratory validation of the automated diagnosis of intestinal parasites via fecal sample processing for the recovery of intestinal parasites through the dissolved air flotation technique.Parasites & vectors · 2024Article
- Lesion Localization and Pathological Diagnosis of Ovine Pulmonary Adenocarcinoma Based on MASK R-CNN.Animals : an open access journal from MDPI · 2024Article
- Evaluation of Parasight All-in-One system for the automated enumeration of helminth ova in canine and feline feces.Parasites & vectors · 2024Article
- Relative egg extraction efficiencies of manual and automated fecal egg count methods in equines.Helminthologia · 2024Article
- Multicenter evaluation of the Vetscan Imagyst system using Ocus 40 and EasyScan One scanners to detect gastrointestinal parasites in feces of dogs and cats.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024Article
- Automating parasite egg detection: insights from the first AI-KFM challenge.Frontiers in artificial intelligence · 2024Article
- Implementing deep learning models for the classification of Echinococcus multilocularis infection in human liver tissue.Parasites & vectors · 2023Article
- Article
- Worms and bugs of the gut: the search for diagnostic signatures using barcoding, and metagenomics-metabolomics.Parasites & vectors · 2022Review
- Automatic identification of intestinal parasites in reptiles using microscopic stool images and convolutional neural networks.PloS one · 2022Article
- Canine Vaginal Cytology: A Revised Definition of Exfoliated Vaginal Cells.Frontiers in veterinary science · 2022Article
- The Kubic FLOTAC microscope (KFM): a new compact digital microscope for helminth egg counts.Parasitology · 2021Article
- Further evaluation and validation of the VETSCAN IMAGYST: in-clinic feline and canine fecal parasite detection system integrated with a deep learning algorithm.Parasites & vectors · 2021Article
- Automated Diagnostics: Advances in the Diagnosis of Intestinal Parasitic Infections in Humans and Animals.Frontiers in veterinary science · 2021Review
- Comparative studies on faecal egg counting techniques used for the detection of gastrointestinal parasites of equines: A systematic review.Current research in parasitology & vector-borne diseases · 2021Review
- Deep tech innovation for parasite diagnosis: New dimensions and opportunities.Tropical parasitologyArticle
- Advances in Microbial Diagnostics: Machine Learning and Nanotechnology for Zoonotic Disease Control.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
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9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFecal 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.
methodsTo 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.
resultsThe 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.
conclusionsThe 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.
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