Dogs to help early diagnosis of bowel cancer

14 May 2024

Hetty

Our new project to train dogs to detect the odour of colorectal (bowel) cancer in urine samples, using the power of their noses, is underway.

We’re looking into whether man’s best friend could help deliver an accurate, non-invasive and more sensitive method of early stage bowel cancer detection that could both increase uptake of the screening and improve health outcomes.

Bowel cancer is the fourth most common form of cancer in the UK. The survival rate is around 60% and many of those not cured present with advanced disease – reflecting how hard it is to diagnose.

Due to the invasive nature of the colonoscopy screening process, only just over half of those offered will take it up. The less invasive faecal sampling is not very specific and patients often still require a colonscopy.

In a UK first, Medical Detection Dogs will use urine samples instead of faecal samples as there is less stigma around supplying these.

This would mean any resultant diagnostic test would be more accessible and more people would likely present for screening. It may also be useful in monitoring treatment response and will help scientists identify the tumour specific compounds the dogs are sniffing which can then be targeted in diagnostic laboratory tests.

The project is in collaboration with Humber Health Partnership who will be suppling us with samples to train the dogs.

We will be applying the same tried and tested methodology that has previously proved that dogs can accurately detect the odours of prostate cancer and bladder cancer, in peer-reviewed trials.

Our dogs have also successfully detected the odour of a number of other diseases such as Parkinson’s disease, Pseudomonas and COVID-19.

6 dogs will be trained to detect the odour of bowel cancer in our training room by sniffing bowel cancer positive and negative samples and indicating when they have found it.

This project will be the first time we’ve used interactive stands in a project. Developed alongside colleagues at the Open University, they have been designed to collect additional data about how the dogs search. This will enable us to learn, in a completely non-biased way, how the dogs interact with the samples, how interesting each one is to them and notice any emotional changes to their response.

Willow

Willow

Mango

Mango

Callie

Callie

Dotty

Dotty

Hetty

Hetty

Rosemary

Rosie

The initial six-legged team will be Flat-coated Retriever, Willow, Cocker Spaniels Mango, Callie and Dotty, Fox Red Labrador, Hetty and Black Labrador, Rosie.

 Claire Guest, Co-Founder and CEO of Medical Detection Dogs, says: “We believe that information learned from our dogs about the odour of bowel cancer could help deliver an accurate, rapid and non-invasive test for early diagnosis that would be offered to clinicians to use alongside existing diagnostic methods or post treatment monitoring.

“The team has just started in the training room and early signs suggest that once again the world’s most powerful bio sensor, a dog’s nose, will have no trouble recognising the odour.~

Andy Hunter, Colorectal Surgeon at Humber Health Partnership, says: “My team is dedicated to reducing the side effects associated with conventional treatments for rectal cancer while maintaining high cure rates. 

“I became interested in methods to detect cancer at its earliest stages and during a conversation with Dr Guest, it became evident that we shared the same vision. With MDD’s support, I swiftly gained the commitment of Hull University Teaching Hospital’s Trust to conduct a trial assessing the utility of canine olfactory detection in cancer diagnosis and follow-up. We began collecting urine and stool samples from our willing and enthusiastic patients. These samples, now combined with relevant clinical data, will provide the MDD team with the necessary tools to train our canine collaborators. I eagerly anticipate seeing the dogs in action. Ultimately, I hope this work can be translated into clinical settings, particularly in the realm of early rectal cancer treatment and follow-up.”

Dr Clara Mancini, Professor of Animal-Computer Interaction at The Open University, says: “Medical Detection Dogs do amazing work, leveraging dogs’ extraordinary olfactory intelligence to advance the early detection of life-threatening diseases, such as colorectal cancer. At the Open University’s Animal-Computer Interaction Lab, we are very excited to collaborate with this pioneering Charity. Our first-of-its-kind interactive technology uses sensors to capture the dogs’ spontaneous response to the biological samples they sniff, producing data that can be analysed using machine learning to offer key insights into the dogs’ knowledge about the odours they examine. This will effectively enable the dogs to share with us information that could relate to the stage or aggressiveness of a disease.”

We use cookies to understand your user experience. By continuing to use this site, you agree to the use of cookies. more information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.
About cookies
Cookies are information packets sent by web servers to web browsers, and stored by the web browsers.
The information is then sent back to the server each time the browser requests a page from the server. This enables a web server to identify and track web browsers. Some cookies are deleted at the end of a session, others remain on your computer until you delete them or they reach an expiry date.
Cookies on our website
Medical Detection Dogs uses the following cookies on this website, for the following purposes:
Analytics – We anonymously measure your use of this website to improve your experience Social media – Facebook, Twitter and other social websites need to know who you are to work properly
Google cookies Medical Detection Dogs uses Google Analytics to analyse the use of this website. Google Analytics generates statistical and other information about website use by means of cookies, which are stored on users' computers. The information generated relating to our website is used to create reports about the use of the website. Google will store and use this information. Google's privacy policy can be found on their site at www.google.com/policies/privacy.
Refusing cookies
Most browsers allow you to refuse to accept cookies - these controls are usually found in settings and privacy. Please refer to your browser help function.
Blocking cookies will have a negative impact upon the usability of some websites.

Close