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.

Highlights

  • When starting to train dogs to detect new emerging target odors, organizations are often faced with a challenge of procuring adequate numbers of both target samples, and suitably matched controls [1, 2]

  • Storage site had a marginally significant effect, with samples in Milton Keynes University Hospital (MKUH) storage vesicles resulting in significantly lower specificity than Medical Detection Dog (MDD) samples, but that the effect of processing method had the biggest impact (Chi squared = 14.4 p = 0.0001)

  • Control samples which underwent Medical Detection Dog’s (MDD) processing, were more likely to be correctly ignored than samples undergoing Milton Keynes University Hospital’s (MKUH) processing (OR = 4.32), as were those placed in vesicles stored at MDD (OR = 2.11), whilst externally sourced samples were slightly less likely to be ignored (OR = 0.55)

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Summary

Introduction

When starting to train dogs to detect new emerging target odors, organizations are often faced with a challenge of procuring adequate numbers of both target samples, and suitably matched controls [1, 2] As a consequence, they are often forced to choose between using small numbers of training samples and risking the dog’s learning to identify individual samples (rather than the target vs control distinction) or sourcing samples from multiple places. Organizations training dogs, aim to standardize all aspects of the collection, processing and sample presentation, even with the greatest care, there may remain subtle factors which differ and which dogs can potentially learn to use to discriminate during training. It is important to ensure that training conditions are conducive to this “concept formation.”

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