ArticleFrontiers in veterinary science2020
A Lesson in Standardization - Subtle Aspects of the Processing of Samples Can Greatly Affect Dogs' Learning.
Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Olfactory Science and Technology in Prostate Cancer Diagnosis: From Invertebrate Models to Artificial Intelligence.Life (Basel, Switzerland) · 2026Review
- Trained dogs can detect the odor of Parkinson's disease.Journal of Parkinson's disease · 2025Article
- Conservation detection dogs: A critical review of efficacy and methodology.Ecology and evolution · 2024Review
- Dogs' ability to detect an inflammatory immune response in cattle via olfaction.Frontiers in veterinary science · 2024Article
- Recognition of an Odour Pattern fromAnimals : an open access journal from MDPI · 2022Article
- The Use and Potential of Biomedical Detection Dogs During a Disease Outbreak.Frontiers in medicine · 2022Review
- Expert considerations and consensus for using dogs to detect human SARS-CoV-2-infections.Frontiers in medicine · 2022Article
- Using Canine Olfaction to Detect Bovine Respiratory Disease: A Pilot Study.Frontiers in veterinary science · 2022Article
- A Novel Method for Training the Interdiction of Restricted and Hazardous Biological Materials by Detection Dogs.Frontiers in medicine · 2022Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Training new medical odors presents challenges in procuring sufficient target samples, and suitably matched controls. Organizations are often forced to choose between using fewer samples and risking dogs learning individuals or using differently sourced samples. Even when aiming to standardize all aspects of collection, processing, storage and presentation, this risks there being subtle differences which dogs use to discriminate, leading to artificially high performance, not replicable when novel samples are presented. We describe lessons learnt during early training of dogs to detect prostate cancer from urine. Initially, six dogs were trained to discriminate between hospital-sourced target and externally-sourced controls believed to be processed and stored the same way. Dogs performed well: mean sensitivity 93.5% (92.2-94.5) and specificity 87.9% (78.2-91.9). When training progressed to include hospital-sourced controls, dogs greatly decreased in specificity 67.3% (43.2-83.3). Alerted to a potential issue, we carried out a methodical, investigation. We presented new strategically chosen samples to the dogs and conducted a logistic regression analysis to ascertain which factor most affected specificity. We discovered the two sets of samples varied in a critical aspect, hospital-processed samples were tested by dipping the urinalysis stick into the sample, whilst for externally sourced samples a small amount of urine was poured onto the stick. Dogs had learnt to distinguish target aided by the odor of this stick. This highlights the importance of considering every aspect of sample processing even when using urine, often believed to be less susceptible to contamination than media like breath.
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